Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 107 appraisals
The Knee
Artificial intelligence in the management of sports knee injuries: a narrative review.
INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. Artificial Intelligence (AI) has emerged as a promising tool to improve their prevention, diagnosis, prognosis, and rehabilitation. This review summarises current evidence on the clinical applications, limitations, and future directions of AI and machine learning in sports-related knee injuries. METHODS: A narrative review of PubMed, Embase, Medline and Web of Science was conducted, examining recent literature on AI-based models in musculoskeletal and sports medicine. The review was categorised into key domains: injury prediction and prevention, diagnostic imaging performance, AI-enabled clinical workflows, alongside postoperative and rehabilitation outcome modelling. RESULTS: AI algorithms demonstrate strong potential across the sports knee injury continuum. Predictive models analysing biomechanical and physiological data have achieved high area under the curve (AUC) values, in some cases above 0.90, in experimental and pilot setting when identifying athletes at risk of ACL rupture or overuse injuries, while machine learning approaches have been used to predict graft failure, revision surgery, and return-to-sport. However, most remain investigational rather than clinically deployable, with limited explainability, insufficient external validation, and training datasets that are often narrow or unrepresentative of broader athletic populations. CONCLUSION: AI has the potential to transform the management of sports-related knee injuries through more predictive, personalised, and precise care. However, wider clinical adoption will require multicentre validation, improved interpretability, and robust ethical and regulatory oversight. With further development, AI may enhance injury prevention, recovery, and improve long-term joint health outcomes in athletes.
3 Aug 2026
Read appraisal →Archives of orthopaedic and trauma surgery
Shoulder injuries in rugby union: a systematic review and meta-analysis
Shoulder injuries are common in Rugby Union, resulting in prolonged absence and considerable burden. Reported incidence, severity, and mechanisms vary widely, reflecting the multiple high-impact actions in the sport. Various management approaches exist to treat a wide range of pathologies. This systematic review and meta-analysis aimed to synthesise evidence on the epidemiology, mechanisms, and treatment of shoulder injuries in rugby. PUBMED, SCOPUS, and WEB OF SCIENCE were searched from database inception until 1st June 2025. From 1,099 abstracts screened, 37 studies were included. The pooled match incidence was 11.02 injuries/1,000 player-hours (95% CI 7.23-16.82), though heterogeneity was very high (I² = 97%) and the 95% prediction interval was wide (2.11-57.61 injuries/1,000 player-hours), indicating the pooled rate should be read as an average across diverse populations rather than a single representative value. Higher rates were seen in male elite (13.74/1,000 h) and high school/university players (12.28/1,000 h). Training incidence was considerably lower (0.20/1,000 h). Substantial between-study heterogeneity was observed across all incidence analyses, reflecting genuine variation across playing levels, sex, and surveillance methods. Tackling was the predominant injury mechanism, most often affecting the tackler. Bankart, Latarjet, and Bristow procedures all produced favourable reported outcomes for surgical management of anterior shoulder instability. These were indirect comparisons drawn from observational cohorts, however, and comparative effectiveness between techniques cannot be determined from the available evidence. Shoulder injuries in rugby occur far more often in matches than in training, result in prolonged time loss, and are most sustained in tackling. Surgical stabilisation is associated with favourable reported outcomes, though the comparative findings should be regarded as hypothesis-generating, and high-quality comparative studies are warranted. Greater attention to prevention, improved reporting of mechanisms, and focused research on female players should be prioritised.
31 July 2026
Read appraisal →Lasers in medical science
Effect of photobiomodulation on trapezius myofascial pain: a randomized, sham-controlled, double-blind clinical trial.
To investigate the effect of 16 J of 808 nm low-level laser therapy (LLLT) on pain in individuals with trapezius trigger points (TPs). Randomized, double-blind, controlled trial conducted with 52 adults (≥ 18 years) with chronic trapezius pain and TPs. Participants were assigned to the LLLT group (808 nm, 16 J per TP) or the sham group (same protocol without emission). Both received eight sessions over four weeks. Outcomes included pain perception, number of TPs, cervical function, skin temperature, global perceived effect, and adverse events. Randomization was concealed from evaluators and participants. Repeated measures ANOVA (SPSS 21) was used for analysis. No significant differences were found between groups for pain [F(2,100) = 1.21; p = 0.30, η2 = 0.024], TPs [F(1.09,54.27) = 0.35; p = 0.57, η2 = 0.007], cervical skin temperature [F(1.79,89.65) = 0.79; p = 0.45, η2 = 0.042], trapezius temperature [F(2,100) = 1.09; p = 0.34, η2 = 0.021], or global perceived effect [F(1.44) = 1.91; p = 0.17, η2 = 0.029]. Cervical function improved significantly in the LLLT group [F(1.36,67.73) = 3.75; p = 0.04, η2 = 0.070]. Adverse effects were mild and infrequent, mainly warmth. Both groups reported clinically relevant pain reduction. LLLT at 16 J per TP with 808 nm was not superior to placebo for pain, TP count, or skin temperature. However, it improved cervical function, suggesting a functional benefit. Registration: july 18, 2022 on the Brazilian Clinical Trials Registry (REBEC - RBR-10m474jv).
28 July 2026
Read appraisal →PloS one
Systematic review and meta-analysis of the acute effects of self-selected rest intervals on exercise performance maintenance, lactate levels, and heart rate.
BACKGROUND: Rest interval duration is a key variable in exercise prescription, influencing both performance and physiological responses. Traditional training typically employs fixed rest intervals; however, this approach may not adequately reflect individual variability in recovery needs. Recently, self-selected rest intervals-based on individual perception-have gained attention as a potential strategy for more precise load regulation. Nevertheless, current evidence regarding their effects on exercise performance, heart rate, and blood lactate remains inconsistent. METHODS: This study followed PRISMA guidelines and conducted a systematic search of Web of Science, PubMed, Cochrane Library, and Embase from database inception to March 20, 2026. Acute experimental studies comparing self-selected and fixed rest intervals were included. A three-level random-effects meta-analysis was performed to account for dependency among multiple effect sizes. Subgroup analyses, meta-regression, and sensitivity analyses were conducted to explore potential moderators and assess robustness. RESULTS: Sixteen studies (k = 16) involving 281 participants were included. No significant overall difference was observed between self-selected and fixed rest intervals for exercise performance (g = 0.27, 95% CI [-0.14, 0.69], p = 0.29), with substantial between-study heterogeneity. After removing outliers, a small but significant effect favoring self-selected rest intervals was identified (g = 0.20, 95% CI [0.08, 0.33], p < 0.01). No significant differences were observed for heart rate (g = 0.002, p = 0.98) or blood lactate (g = -0.20, p = 0.36). CONCLUSION: Self-selected and fixed rest intervals produce comparable effects on exercise performance and physiological responses. However, self-selected rest intervals may confer a small advantage in maintaining performance under specific conditions. These findings should be interpreted with caution due to sensitivity to outliers and study heterogeneity.
25 July 2026
Read appraisal →PloS one
Hamstring strength assessment methods in sport: A systematic review and meta-analysis of post-activity strength decrements, asymmetry benchmarks, and measurement reliability.
Hamstring strain injuries (HSI) represent one of the most prevalent and recurrent injuries in sport, making reliable strength assessment essential for neuromuscular monitoring in athletic populations. Despite the breadth of available testing modalities, no comprehensive synthesis of assessment methods, their reliability, post-activity strength responses, or normative asymmetry values has been undertaken. This systematic review and meta-analysis aims to evaluate the reliability of hamstring strength assessment methods, quantify the time-course of strength decrements following competition, establish normative inter-limb asymmetry benchmarks, and identify gaps to guide future assessment practices. PubMed, Scopus, SPORTDiscus, and Web of Science were searched from inception to November 1, 2025 following PRISMA guidelines. Methodological quality was assessed using a modified version of the Downs and Black checklist. A total of 161 studies were included in qualitative synthesis and 106 in quantitative analysis. Isokinetic dynamometry was the most frequently used modality, followed by force platform assessments and Nordic hamstring-based devices, with a clear upward trend in field-based testing observed after 2010. Multiple modalities demonstrate good reliability, sensitivity to post-activity fatigue, and comparable patterns to detect inter-limb asymmetries, supporting their use across varied applied settings. Hamstring strength deficits persisted for 24-72 hours following on-field activity, identifying a critical vulnerability window during congested schedules. Minor inter-limb asymmetries of approximately 3-4% appear normative and should not be considered clinically meaningful in isolation. Practitioners should establish individualized baselines and integrate routine monitoring with evidence-based recovery strategies to mitigate HSI risk throughout competitive seasons.
23 July 2026
Read appraisal →British journal of sports medicine
Comparative effectiveness of physical therapy interventions in adults with rotator cuff tendinopathy: a systematic review and network meta-analysis
OBJECTIVE: To compare the effects of different physical therapy interventions and identify the most effective intervention on pain, function, quality of life (QoL) and adverse events (AEs) in adults with rotator cuff (RC) tendinopathy. DESIGN: Systematic review and network meta-analysis (NMA) of randomised clinical trials (RCTs). DATA SOURCES: Seven databases and two trial registries were searched up to March 2024. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: RCTs comparing physical therapy interventions to any other physical therapy intervention, sham, placebo, waiting list or no treatment on pain, function, QoL and AEs in adults with RC tendinopathy. DATA SYNTHESIS: A frequentist NMA using a random-effects model was performed. Risk of bias and certainty of the evidence were assessed using the revised Cochrane risk-of-bias tool and the Grading of Recommendations, Assessment, Development and Evaluation approach, respectively. RESULTS: 89 RCTs (5532 participants) were included. Exercises targeting the shoulder muscles may reduce pain (standardised mean difference (SMD) -0.79, 95% CI -1.33 to -0.26) and improve function (SMD 0.74, 95% CI 0.34 to 1.14) compared with no treatment but the evidence is very uncertain. Exercises targeting shoulder and scapular muscles in addition to percutaneous electrolysis (SMD -1.58, 95% CI -2.68 to -0.48) and to trigger point dry needling (SMD 3.10, 95% CI 1.99 to 4.22) seem to be the most effective interventions on pain and function at the end of treatment, respectively. CONCLUSION: Most of the interventions identified may not be superior to isolated shoulder exercises alone, which might be considered a reasonable first-line approach, but the evidence is very uncertain and most interventions are informed by limited data. High-quality research is needed to improve evidence of physical therapy interventions in adults with RC tendinopathy. PROSPERO REGISTRATION NUMBER: CRD42024527176.
8 July 2026
Read appraisal →International journal of medical informatics
Beyond the conventional: Artificial intelligence in identifying risk factors in sports injuries. A scoping review.
PURPOSE: To map contemporary uses of artificial intelligence (AI) to identify conventional and unconventional risk factors for sports injuries in athletes. METHODS: Following Joanna Briggs Institute guidance and PRISMA-ScR, we conducted an open-access search (January 2015-September 2025) in PubMed/MEDLINE, Scopus, and ScienceDirect using MeSH/DeCS terms for AI and injury risk. Records were managed in Rayyan with de-duplication, independent triple screening, standardized data extraction, and narrative synthesis to address heterogeneity. RESULTS: Fifty-nine studies met inclusion criteria. Frequently modelled predictors included sleep quality and psychological state, external and internal load metrics, and prior injury. AI approaches spanned classical machine learning and deep learning applied to multimodal sensor and clinical data. Across studies, generalizability was limited by heterogeneous populations, outcomes, and measurement/reporting practices; few works reported consistent measurement standards or external validation. Where assessed, observer agreement and classification performance were acceptable but variable. CONCLUSION: AI for sports-injury risk is expanding rapidly, led by classical machine learning on multimodal sensor data. Key gaps are external validity and reproducibility. Progress will require multicenter prospective cohorts, standardized measurement and reporting, sport-specific meta-analyses, transparent model sharing, and deliberate clinical integration into athlete care pathways.
4 July 2026
Read appraisal →Medicine
Artificial intelligence-guided clavicle fracture detection on plain radiographs: A retrospective diagnostic accuracy study.
Extensive research exists on artificial intelligence (AI)-assisted fracture detection in various anatomical regions, but clavicle fractures remain comparatively understudied. This study aimed to compare the diagnostic performance of AI-guided clavicle fracture detection on plain radiographs with that of an experienced orthopedic surgeon. We retrospectively analyzed all clavicle radiographs obtained at our institution between September 11,2023 and October 31,2024 following the clinical implementation of AI-guided fracture detection. Radiological findings confirmed by a senior radiologist served as the reference standard. AI performance was additionally compared with the assessments of an experienced, blinded orthopedic surgeon. Diagnostic performance metrics included accuracy, sensitivity, specificity, Cohen kappa, F1 score, and Youden index. A total of 367 clavicle radiographs were included, comprising 186 anteroposterior (AP) and 181 second-plane views. The mean patient age was 44.6 ± 26.2 years, and 59.4% were male. According to the reference standard, clavicle fractures were present in 96 AP radiographs (51.6%) and 95 second-plane radiographs (52.5%). On AP radiographs, the AI system achieved an accuracy of 97.31%, sensitivity of 95.83%, specificity of 98.89%, Cohen kappa of 0.95, and F1 score of 0.97. Diagnostic performance on second-plane radiographs was similarly high and overall comparable to that of the experienced orthopedic surgeon. This retrospective diagnostic accuracy study shows that AI-guided clavicle fracture detection is highly accurate and reliable, with performance approaching that of an experienced orthopedic surgeon. These findings support the potential role of AI as a diagnostic support tool in clavicle fracture detection, while prospective and multicenter validation remains warranted.
28 June 2026
Read appraisal →Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment
Validating telehealth assessment of physical concussion symptoms
BACKGROUND: Telehealth could expand access to specialised concussion care; however, physiotherapists report low confidence in assessing physical symptoms remotely. This study adapted measures of vestibular, oculomotor, cervical and autonomic function for telehealth delivery, and evaluated their feasibility and comparability with in-person assessment. METHODS: Using a repeated-measures design, 16 participants with concussion and 20 controls completed assessment modalities in random order (3 × 4 block randomisation). Feasibility was evaluated through completion rates, technical issues, adverse events and clinician feedback. Concurrent validity was examined using percentage agreement, Cohen's kappa, and sensitivity and specificity analyses. RESULTS: Telehealth assessment was feasible; most concussion participants and all controls completed the protocols, there were minimal technical issues, no adverse events and shorter administration times. Clinicians reported high usability and efficiency. High agreement and sensitivity were observed across vestibular, ocular convergence, autonomic and cervical range of motion measures. Nuanced assessment of ocular smooth pursuits showed lower agreement, and a potential ceiling effect on autonomic assessment was identified. CONCLUSION: This study preliminarily supports the feasibility and comparability of telehealth compared with in-person physical concussion assessments. Assessment of smooth pursuits and autonomic function require protocol refinement to enhance accuracy. Replication in larger samples is required to establish comparability.
27 June 2026
Read appraisal →Analytical methods : advancing methods and applications
Microfluidic-electrochemical sweat patches for athletes: monitoring lactate, electrolytes, and hydration status
Wearable biochemical sensing is shifting sports physiology from intermittent laboratory sampling toward continuous, in situ readouts during training and competition. This review analyzes skin conformal systems that integrate capillary driven fluid routing, flexible sensor arrays, and wireless readout to capture dynamic changes in eccrine secretions relevant to performance management. We compare microchannel layouts that enable controlled filling, time resolved sampling, and evaporation suppression, and we discuss how material selection governs comfort and analytical fidelity, highlighting tradeoffs among polydimethylsiloxane, polyurethane, and polyethylene terephthalate substrates and their compatibility with scalable fabrication. Manufacturing pathways are assessed from soft lithography to laser cutting, three dimensional printing, and roll to roll processing for high throughput multilayer assembly. For transduction, we summarize enzymatic amperometric schemes based on lactate oxidase with hydrogen peroxide detection, including sensitivity, response time, and oxygen dependence, and we contrast these with emerging non enzymatic catalysts. We then detail potentiometric ion selective electrodes for sodium and potassium, focusing on ion selective membrane chemistry, solid state reference electrodes, Nernstian response, and dominant error sources such as drift and biofouling. System integration challenges, including chemical and electrical cross talk in multiplexed layouts, are linked to microfluidic isolation strategies and multiplexed electronics. Finally, we appraise validation practice, emphasizing the debated sweat to blood relationship, the need for synchronized comparative protocols, and the role of data analytics and machine learning for personalization, drift compensation, and prediction of thermoregulatory strain. Remaining barriers include long term stability, adhesion under motion, manufacturability, and regulatory evidence requirements in real world settings. Across these topics, the review emphasizes technology-specific limitations, engineering translation metrics, and realistic breakthrough directions rather than treating wearable sweat patches as a mature plug-and-play platform.
27 June 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Caffeine makes a splash: a systematic review and multilevel meta-analysis exploring the effects of caffeine intake on swimming performance.
BACKGROUND: Evidence for acute caffeine supplementation in swimming remains inconsistent across reviews, likely due to between-study heterogeneity and methodological differences. METHODS: Five databases were searched for randomized placebo-controlled crossover trials exploring the effects of caffeine on swimming performance in competitive swimmers. Performance outcomes were pooled as standardized mean differences (SMD; Hedges' g), with time outcomes sign-reversed so that positive values indicated improved performance. Dependence among multiple outcomes within studies was addressed using three-level random-effects models (REML). As a supplementary, interpretable metric, log ratios of means (lnRoM) were meta-analysed and expressed as percentage change. Post-exercise blood lactate (mmol/L) was pooled as mean differences (MD). Risk of bias was assessed using RoB 2 and certainty of evidence using GRADE. Prespecified exploratory moderator analyses examined potential effect modification (dose, timing, distance, administration form, stroke, gender, and athlete level). RESULTS: Thirteen studies were included (144 men and 48 women), which contributed 28 performance effect sizes. Caffeine improved swimming performance (SMD = 0.57, 95% CI: 0.20 to 0.94; p = 0.005), corresponding to a +1.71% improvement in lnRoM (95% CI: +1.01% to +2.41%; p < 0.001). Heterogeneity was substantial (I²total = 64.7%) and primarily between studies. Eight studies contributed 24 blood lactate effect sizes. In the meta-analysis, caffeine increased post-test lactate (MD = 0.85 mmol/L, 95% CI: 0.22 to 1.49; p = 0.016) with high heterogeneity (I²total = 76.5%). Exploratory moderator analyses suggested a possible dose-related pattern for swimming performance, with larger pooled effects at ≥6 mg/kg (SMD = 0.95, 95% CI: 0.52 to 1.38) than at <6 mg/kg (SMD = 0.22, 95% CI: -0.15 to 0.60; p difference = 0.017). Other performance moderators did not show clear between-subgroup differences. For lactate, exploratory subgroup analyses suggested larger increases in freestyle and short-distance events, although these patterns were more sensitive to modelling assumptions and should be interpreted cautiously. CONCLUSION: Acute caffeine ingestion confers a moderate ergogenic benefit for swimming performance (SMD = 0.57, 1.7% improvement) and is associated with higher post-test blood lactate (MD = 0.85 mmol/L). Dose (≥6 mg/kg) may be associated with larger performance benefits, whereas lactate responses appear more pronounced in freestyle and shorter events. However, these subgroup findings are hypothesis-generating and require exploration.
22 June 2026
Read appraisal →Science advances
Bioinspired heliconical auxetic biofibers for intelligent biomechanical surveillance
Wearable bio-based fibers are emerging as platforms for biomechanical sensing and physiological interaction. However, achieving high sensitivity to subtle mechanical cues while maintaining flexibility, self-powered output, and distributed perception remains challenging. Inspired by the helical twining mechanics of climbing plant stems, we design a mechano-adaptive auxetic electronic bio-based fiber as an embodied intelligence sensing unit. The dual-modulus helical confinement, achieved by wrapping rigid aramid fiber/polydimethylsiloxane helices around a flexible collagen aggregate/waterborne polyurethane core, enables programmable deformation and a stable negative Poisson's ratio (ν = -0.47). Nonlinear intercomponent coupling facilitates synergistic axial-radial dynamics, amplifying interfacial contact variation under strain. The optimized fiber exhibits ultrahigh sensitivity (strain factor: 11.75), strong electrical output (8.1 volts), and remarkable power density (8.48 milliwatts per square meter) with excellent cyclic stability. Integrated into fiber-sensing arrays, it decodes microstrain patterns linked to lower-limb function, offering a scalable strategy for self-powered, adaptive, and durable biomechanical monitoring.
21 June 2026
Read appraisal →Brain research
BDNF relates to prefrontal cortex activity in the context of physical exercise
Exercise has been shown to support brain health, cognitive function, and increase levels of brain-derived neurotrophic factor (BDNF). While BDNF is known to support the central nervous system through improved brain metabolism, vasculature, neurotransmission and synaptic plasticity, the association between exercise-induced changes in BDNF concentrations and exercise-related cognitive improvements is still unclear. This study investigated the relationship between exercise-induced changes in plasma BDNF (pBDNF) and serum BDNF (sBDNF), and haemodynamic indicators of prefrontal cortex function in sedentary adults. Participants (n = 23, female = 7) were randomized into intervention (12-week cycling programme) and control groups (no intervention). Participants completed V̇O2max tests to assess changes in fitness. pBDNF and sBDNF were measured pre- and post-V̇O2max testing, and a battery of executive function and memory tasks were also conducted, alongside functional near-infrared spectroscopy (fNIRS) to assess haemodynamic changes in the prefrontal cortex activity. Changes were assessed using the correlation-based signal improvement (CBSI) method. Results indicated that participants in the exercise intervention group did not show increased levels of resting-state s/pBDNF levels at the end of the intervention; however, they did exhibit a significant exercise-induced increase in sBDNF at week 12. This increase was correlated with changes in V̇O2max. Higher pBDNF levels and exercise-induced sBDNF were associated with a decrease in CBSI values in the frontopolar, dorsolateral and orbitofrontal prefrontal cortex during attention and inhibition tasks, but not during the memory task. These results suggest that increasing physical fitness can enhance BDNF transcription in response to acute bouts of exercise. This might, in turn, play a part in the modulation of neural function during executive tasks after acute exercise.
15 June 2026
Read appraisal →British journal of sports medicine
Randomised three-armed trial investigation of the Copenhagen Achilles tendon Rupture Treatment Algorithm (CARTA) for individualised treatment of acute Achilles tendon rupture
OBJECTIVE: To evaluate whether individualised treatment using the Copenhagen Achilles Rupture Treatment Algorithm (CARTA) is superior to default operative or non-operative strategies. METHODS: We conducted a multicentre, three-arm, randomised controlled trial. Adults with acute Achilles tendon rupture were randomised (1:1:1) to individualised CARTA, non-operative or operative treatment. In the CARTA arm, surgery was indicated if ultrasound showed<25% tendon overlap or ≥7% elongation. The primary outcome was the Heel-Rise Work Test (HRWT) at 12 months. Secondary outcomes included HRWT at 6 months, and at both 6 and 12 months, the Heel-Rise Height, Achilles tendon Total Rupture Score (ATRS), Tegner activity scale, Copenhagen Achilles tendon Length Measure, Achilles Tendon Resting Angle (ATRA) and complication recordings. RESULTS: Between May 2018 and June 2023, 970 patients were screened; 300 were randomised (male/female 76%/24%, mean age 41 (SD 1)). At 12 months, data were available for 98 CARTA (64% operated), 100 non-operative and 97 operative patients. There were no significant between-group differences in HRWT at 12 months. However, CARTA significantly reduced rerupture rates by 73% compared with non-operative treatment (3% (95% CI) (1 to 8) vs 11% (6 to 19), p=0.03), improved ATRS by 8 points (1 to 15, p=0.02) and improved ATRA by -2° (-4 to -1), p=0.01). No difference between CARTA and operative treatment was found except 36% less underwent surgery. CONCLUSION: Individualised CARTA did not improve functional outcomes based on the HRWT at 12 months, but among secondary outcomes, it reduced rerupture rates and improved patient-reported outcomes compared with non-operative treatment and with fewer surgeries than routine operative care. TRIAL REGISTRATION NUMBER: NCT03525964.
14 June 2026
Read appraisal →British journal of sports medicine
Multimodal symptom-targeted treatment for young people with persisting post-concussion symptoms: a randomised clinical trial
OBJECTIVE: To evaluate the effectiveness of Concussion Essentials (CE), a symptom-targeted, multidisciplinary treatment for persisting post-concussion symptoms (PPCS). METHODS: This single-site, open-label, assessor-blinded, parallel-group randomised clinical trial recruited 8-18-year-olds within 17 days of concussion from the emergency department of a tertiary paediatric hospital and from community referrals. Participants who endorsed ongoing PPCS on review at 14 (±3) days post-injury were invited to a baseline assessment at 3 weeks post-injury, where symptoms were re-assessed. Symptomatic participants were randomised to CE or usual care (UC). CE participants received individualised, multidisciplinary treatment modules (education, psychological, physiotherapy) for up to 8 weeks, while UC participants received weekly monitoring. Primary outcome was full recovery at intervention completion, defined as <1 symptom of increased severity compared with pre-injury on the Post-Concussion Symptom Inventory, parent version (PCSI-P). RESULTS: Participants were recruited between August 2019 and July 2024. Outcomes were analysed for 158 participants (CE=78; UC=80, mean age 13±2.5 years, 57.6% male). Pre-treatment PCSI-P total mean scores were: CE 36.7 (95% CI 31.0 to 42.4) and UC 33.5 (95% CI 28.4 to 38.7). Proportions with full resolution were CE 62.5% and UC 37.0% (adjusted risk difference=25.5%, 95% CI -10.0 to 41.0%). Post-treatment mean scores were CE 8.5 (5.9-11.2), UC 21.8 (95% CI 15.6 to 27.9) (p<0.0001). Seven adverse events, unrelated to trial factors, were recorded. CONCLUSION: Individualised, multidisciplinary treatment is associated with accelerated recovery in young people with PPCS. Implementation of such approaches should be considered in routine clinical care of concussion. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (number: ACTRN12617000418370).
14 June 2026
Read appraisal →PloS one
Effects of a school-based ACT program on motivation, physical activity participation, motor competence, and physical performance in physically inactive female adolescent students
Adolescents face internal barriers like low self-confidence and psychological discomfort that limit physical activity. Adolescence offers a key window to enhance intrinsic motivation. Acceptance and Commitment Therapy (ACT) may effectively improve physical activity and motor competence through psychological flexibility and value-based behavior. This study examined the effects of an ACT-based intervention on physical activity participation, motivation, motor competence, and physical fitness in physically inactive adolescent girls. A randomized controlled trial involved 132 inactive girls aged 13-18, randomly assigned to either an ACT intervention or a control group. Intervention included seven sessions targeting six core ACT processes. Pre-and post-intervention assessments used standardized questionnaires and tests for physical activity participation, motivation, physical activity, motor competence, and fitness. ACT group showed significant improvements in intrinsic motivation, identified regulation, autonomy, and reduced amotivation and external regulation (p ≤ 0.05). Introjected regulation did not show a significant change (p > 0.05). Physical activity participation and fitness performance also improved significantly, along with both perceived and actual motor competence (p ≤ 0.05). ACT-based intervention effectively enhanced motivation, physical activity engagement, motor competence, and fitness. These findings support integrating ACT into school or community programs to promote sustainable physical activity habits in adolescent girls.
13 June 2026
Read appraisal →PloS one
Feasibility of mechanomyography-based fatigue classification for passive lower-limb exoskeleton evaluation: A pilot study
Mechanomyography (MMG) enables non-invasive monitoring of muscle mechanical activity, while its utility in time-resolved fatigue detection during dynamic human-exoskeleton interaction remains underexplored. This pilot study explored the feasibility of combining MMG with machine learning to characterize neuromuscular fatigue and evaluate passive lower-limb exoskeleton assistance during repetitive 10 kg squat-lifting tasks. MMG signals from five lower-limb muscles were extracted for time-domain, frequency-domain and nonlinear features, and fatigue identification was implemented via a spectral-based criterion and multi-muscle voting optimization. A radial basis function-enhanced random forest (RBF-RF) model integrated with data augmentation was validated through leave-one-subject-out cross-validation. The results demonstrated that the 1/5 voting rule achieved optimal performance, with mean accuracy of 0.913 ± 0.057, AUC of 0.792 ± 0.073, and a low fatigue detection error of 1.4 ± 0.8 s. Data augmentation steadily improved model robustness, and predicted fatigue levels were significantly correlated with subjective perceived exertion (ρ = 0.756, p < 0.001). This pilot study demonstrates the feasibility of MMG-based fatigue monitoring for wearable assistive systems. The proposed framework supports objective, high-temporal-resolution fatigue monitoring, and may serve as a viable tool for assessing wearable assistive systems. Further large-cohort studies are required to validate its generalizability for practical applications.
13 June 2026
Read appraisal →Scientific reports
Influence of a passive shoulder exoskeleton on drilling performance in women- a cross-sectional study
Work-related musculoskeletal disorders are common, especially among women performing repetitive overhead tasks. In a randomized 2 × 2 crossover study with 14 female participants, we investigated the effects of a passive upper-body exoskeleton during an overhead precision task, involving the tightening of 20 bolts into a sensor-based workstation, while muscle activation, task performance, and usability were assessed. The results showed significant reduced M. Trapezius muscle activations during arm lowering (p = .041, 73%), and lower target accuracy (p < .001, 100%) when using the exoskeleton. Subjective strain in the shoulders was significantly lower when using the exoskeleton (p = .035, 15%). The usability was rated as "unacceptable", with users criticizing the complexity and learning effort. While the exoskeleton reduced muscle load, its mechanical limitations impaired precision and usability, especially for women. These results highlight the importance of sex-specific, ergonomic, and adaptive designs to improve exoskeleton effectiveness and acceptance.
11 June 2026
Read appraisal →Behavioural brain research
Function-specific repetitive transcranial magnetic stimulation enhances motor strategy adaptation when combined with motor practice.
Effective motor strategy adaptation is essential for both high-performance sports and neurorehabilitation. Repetitive transcranial magnetic stimulation (rTMS) can modulate brain function; however, its efficacy may depend on the specificity of the stimulation targets. This study investigated whether function-specific rTMS, guided by fMRI-defined activation during motor imagery, enhances motor strategy adaptation. Forty-six healthy adults were randomized into three groups: function-specific rTMS, hotspot rTMS, and a no-stimulation control. All participants received identical motor imagery and physical practice in the backward glide shot put. Kinematic and resting-state functional magnetic resonance imaging (rs-fMRI) data were collected before and after the 7-day intervention, and functional connectivity (FC) was analyzed. Results showed that function-specific rTMS led to significantly greater improvements in trunk angle during the glide phase, a critical biomechanical parameter. FC between the right inferior frontal gyrus (IFG) and primary sensorimotor cortex increased significantly in this group and was positively correlated with kinematic improvements. These findings demonstrate that rTMS targeting task-relevant brain regions enhances motor strategy adaptation via mechanisms involving FC associated with motor performance, highlighting its potential for optimizing motor learning in both athletic and clinical populations.
7 June 2026
Read appraisal →Behavioural brain research
Effects of anodal transcranial direct current stimulation on athletic performance among elite athletes: A systematic review and meta-analysis
BACKGROUND: Non-invasive brain stimulation techniques, such as transcranial direct current stimulation (tDCS), have been proposed as promising approaches for enhancing motor performance. However, evidence regarding their effects on different domains of athletic performance in elite athletes remains inconclusive. OBJECTIVE: This study aims to quantify the effects of anodal tDCS on athletic performance in elite athletes, compared with a sham condition. METHODS: A comprehensive search of six electronic databases (PubMed, Web of Science, SportDiscus, ECSCO, Embase, and the Cochrane Library) was conducted to identify randomized clinical trials (RCTs). Standardized mean differences (SMDs) based on post-intervention scores were pooled using random-effects models to estimate pooled effect sizes. Subgroup analyses were performed to examine potential moderating variables. Study quality and risk of bias were evaluated using the Cochrane Risk of Bias Tool. RESULTS: A total of 18 studies involving 259 elite athletes were included in the analysis. The results indicated that anodal tDCS had a moderate but significant overall effect on athletic performance in elite athletes (SMD = 0.57, 95% CI [0.39, 0.75], p < 0.01), although moderate heterogeneity was observed ( I²= 51.38%). Subgroup analyses revealed significant domain-specific variability: the effects were strongest in sport-specific performance (SMD = 0.79, 95% CI [0.51, 1.08], p < 0.01) and physical fitness (SMD = 0.58, p < 0.01), whereas the effects on recovery (SMD = 0.17, p = 0.65) and psychological variables (SMD = 0.38, p = 0.09) were negligible and non-significant. Additionally, the M1 area was found to be the most effective cortical target. CONCLUSIONS: Our findings provide evidence that anodal tDCS is a promising tool for enhancing performance in elite athletes, but its effectiveness is highly domain-dependent. It is particularly potent for improving sport-specific skills and physical fitness, while its role in accelerating recovery remains unsupported. Coaches and practitioners should consider these domain-specific variations and the ceiling effect of elite populations when designing tDCS interventions.
7 June 2026
Read appraisal →European journal of nutrition
Microencapsulated docosahexaenoic acid increases the Omega-3 Index and attenuates the physiological impact of eccentric exercise in physically trained adults: a 12-week double-blind placebo-controlled trial
PURPOSE: This study investigated the effects of docosahexaenoic acid (DHA) supplementation on delayed onset muscle soreness (DOMS), physical function, and inflammation following eccentric exercise-induced muscle damage in physically trained male and female adults (training ≥ 5d/wk). METHODS: Thirty-eight participants (12 Control, 26 DHA) completed a 12-week double-blind, placebo-controlled matched-pair trial. The Control group received high-oleic acid tablets. The DHA group received 715 mg/d of microencapsulated DHA tablets. Participants performed eccentric cycling at weeks 0 and 12, with assessments conducted pre-exercise, 0-h, 24-h, and 48-h post-exercise. The primary outcomes were DOMS (visual analogue scale) and the Omega-3 Index (O3I) (estimated by finger-stick dry blood spot). Secondary outcomes included neuromuscular function and inflammatory cytokines. RESULTS: O3I was not different between groups at week 0 but was elevated in the DHA group (∆2.43%, [95% CI; 2.10, 2.77], P < 0.001) and between Control at week 12 (P < 0.001). DOMS was lower at 24-h and 48-h post-exercise in the DHA group and between Control at week 12 (P < 0.01). At week 12, jump height and peak vertical force improved at 48-h post-exercise in the DHA group (P < 0.05), resulting in moderate (d = 0.60) and small (d = 0.32) effect sizes for 48-h post-exercise area under the curve (AUC) between groups, respectively. There were interaction effects for 48-h post-exercise AUC of IL-6 (P = 0.049), TNF-α (P = 0.010), and IL-10 (P = 0.026). CONCLUSION: A dietary achievable dose of DHA elevated the O3I and reduced DOMS in physically trained adults. These outcomes support protracted intake of DHA to attenuate the physiological impact of eccentric exercise and promote recovery.
31 May 2026
Read appraisal →Medicine
Effect of aerobic exercise of different intensity on articular cartilage metabolism in patients with knee osteoarthritis: A randomized controlled trial
BACKGROUND: Osteoarthritis (OA) of the knee is a leading cause of disability worldwide, yet optimal exercise intensity for cartilage protection remains unclear. This randomized controlled trial investigated dose-response effects of aerobic exercise intensity on cartilage metabolism, clinical symptoms, and structural outcomes in knee OA patients. METHODS: One hundred twenty participants with knee OA (Kellgren-Lawrence grade 2-3) were randomly assigned to low-intensity (50-60% heart rate reserve [HRR]), moderate-intensity (60-70% HRR), high-intensity (70-80% HRR) treadmill walking or stationary cycling, or a control group for 12 weeks (3 sessions/week). Heart rate was continuously monitored using Polar H10 chest-strap monitors. Primary outcomes were serum C-terminal telopeptide of type II collagen and cartilage oligomeric matrix protein levels. Secondary outcomes included Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, Visual Analog Scale (VAS) pain, 6-minute walk test, and magnetic resonance imaging-assessed cartilage morphology. Data were analyzed using mixed-model repeated measures analysis of variance with IBM SPSS Statistics version 26.0 (IBM Corp.). RESULTS: The high-intensity group demonstrated the greatest reductions in C-terminal telopeptide of type II collagen (-28.5%, P < .001) and cartilage oligomeric matrix protein (-22.3%, P < .001), the largest improvements in WOMAC scores (-45.3%, P < .001) and VAS pain (-52.5%, P < .001), and the greatest increases in cartilage thickness (+4.2%) and volume (+3.8%). A significant dose-response relationship was confirmed (group × time interaction: F (3108) = 4.82, P = .003). Among participants in the high-intensity group, 73% achieved the minimal clinically important differences (MCID) for WOMAC total score and 80% achieved the MCID for VAS pain. The 6-minute walk test improvement in the high-intensity group (71 m) exceeded the established MCID of 26 m. No serious adverse events were reported; minor events (transient knee pain exacerbation and delayed-onset muscle soreness) resolved spontaneously within 48 to 72 hours. CONCLUSIONS: Appropriately prescribed high-intensity aerobic exercise safely and effectively improved cartilage metabolism, alleviated symptoms, and enhanced functional capacity in knee OA patients. These findings support revising current conservative exercise recommendations upward when tolerable.
31 May 2026
Read appraisal →Journal of translational medicine
Mesenchymal stem cell-derived extracellular vesicles for osteochondral defect regeneration: a systematic review and meta-analysis of preclinical studies
BACKGROUND: In recent years, the number of animal studies investigating mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) therapy for osteochondral defects has steadily increased. However, a comprehensive and systematic quantitative analysis is lacking. This meta-analysis aimed to evaluate the efficacy of MSC-EVs in animal models of osteochondral defect through a meta-analysis. METHODS: PubMed, EMBASE, Web of Science, and Cochrane Library databases were searched up to January 31, 2025, to identify and select preclinical studies on MSC-EVs therapy for osteochondral defect models. No restrictions were applied regarding the specific characteristics of MSC-EVs or animal models. A random-effects model was used to perform pooled analyses of osteochondral repair scores, bone structural parameters, and histological scores. Subgroup analyses were conducted to explore potential sources of heterogeneity. Sensitivity analyses, funnel plots, and Egger's test were employed to assess the robustness and stability of the results. RESULTS: A total of 19 studies met the inclusion criteria. MSC-EVs intervention improved International Cartilage Repair Society (ICRS) and Modified O'Driscoll Scale (MODS) scores at both 3 and 6 months, and significantly increased BV/TV, Tb.Th, as well as histological scores of cartilage and subchondral bone. Subgroup analyses indicated that none of the examined subgroups were significant sources of heterogeneity. Sensitivity analyses demonstrated the robustness of the results. CONCLUSIONS: MSC-EVs improved osteochondral repair scores, bone structural parameters, and histological outcomes in preclinical models, indicating their potential for promoting osteochondral regeneration. However, the evidence is primarily derived from small animal models with methodological variability and publication bias. Future studies should focus on large-animal models, standardized EVs preparation and dosing protocols, and long-term safety evaluations to facilitate clinical translation.
31 May 2026
Read appraisal →Journal of medical Internet research
Effects of Multicomponent Digital Health Interventions on Multidimensional Physical Activity in Older Adults: Systematic Review, Meta-Analysis, and Meta-Regression of Randomized Controlled Trials
BACKGROUND: The comprehensive effects of multicomponent digital health interventions (DHIs) on multidimensional physical activity indicators and sedentary behavior (SB) remain controversial. OBJECTIVE: This systematic review aimed to evaluate the impact of multicomponent DHIs on daily steps, moderate-to-vigorous physical activity (MVPA), light physical activity, total physical activity, and SB in older adults. METHODS: PubMed, Web of Science, Embase, The Cochrane Library, and CINAHL were searched up to February 20, 2026. Randomized controlled trials concerning multicomponent DHIs for promoting exercise behavior in older adults were included. RoB 2.0 was used to evaluate study quality. Meta-analyses were performed using the Hartung-Knapp-Sidik-Jonkman random-effects model, and 95% prediction intervals (PIs) were calculated via Nagashima adjustment to evaluate effect dispersion. The GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) system was used to evaluate evidence certainty. RESULTS: A total of 26 randomized controlled trials (n=4129) were included. The results showed that multicomponent DHIs significantly improved daily steps (mean difference [MD] 822.8, 95% CI 198.3 to 1447.3 steps/d; 95% PI -1452.4 to 3098.0) and MVPA (MD 45.9, 95% CI 23.9 to 67.9 min/wk; 95% PI -9.4 to 101.2). However, the improvements in SB (MD -283.7, 95% CI -610.8 to 43.5 min/wk; 95% PI -984.5 to 417.1), total physical activity (MD 104.4; 95% CI -109.2 to 318.0 min/wk; 95% PI -444.4 to 653.2), and light physical activity (MD 39.3, 95% CI -96.2 to 174.7 min/wk; 95% PI -227.6 to 306.2) did not reach statistical significance. As some included studies combined digital tools with human support, the independent contribution of digital technology remains uncertain. PIs indicated a certain degree of dispersion across different clinical contexts. Subgroup analysis showed higher effect sizes for standalone wearables, human-assisted interventions, and populations with chronic disease risks. Meta-regression showed that effect sizes remained stable across different ages and durations. The trim-and-fill method confirmed the robustness of MVPA results. GRADE assessment indicated "moderate" certainty for MVPA and "low" for daily steps and other indicators. CONCLUSIONS: This systematic review suggests that multicomponent DHIs may serve as an effective means for enhancing daily steps and MVPA in older adults. The innovation lies in evaluating the true effect distribution of multicomponent DHIs through Hartung-Knapp-Sidik-Jonkman random-effects models and Nagashima PIs. Compared with previous studies, this review identified the impact of population characteristics and control group differences on effect estimates using PI and subgroup models, confirming that advanced age did not significantly diminish the good adaptability of older adults to DHIs. Evidence limitations include high heterogeneity, lack of long-term follow-up, and differences between objective and subjective measurement tools. In practice, priority should be given to hardware carriers with simplified interaction and integrated human support, with tailored strategies developed for different risk subgroups.
30 May 2026
Read appraisal →European radiology experimental
Enhancing resolution and image quality in musculoskeletal MRI using deep learning reconstruction
OBJECTIVE: Deep learning-based noise reduction enhances image quality, overcoming the tradeoff among acquisition time, spatial resolution, and signal-to-noise ratio (SNR). We implemented deep learning reconstruction (DLR) into a 1.5-T musculoskeletal (MSK) magnetic resonance imaging (MRI) protocol to improve image quality without compromising SNR. MATERIALS AND METHODS: We retrospectively analyzed 39 MRI examinations performed on a 1.5-T scanner using standard-resolution (SR) sequences and sequences with higher resolution reconstructed with DLR (HR-DLR). Exams of the knees, shoulders, ankles, and hips were evaluated. The included sequences were: three-dimensional T2-weighted fast advanced spin-echo; T1-weighted and proton density-weighted fast spin-echo. One expert reader and two junior readers in agreement evaluated the visibility of various structures using a 5-point Likert scale in a blind manner. A fourth reader estimated the SNR and contrast-to-noise ratio (CNR) in bone and muscle. A mixed model was used to compare HR-DLR versus SR measures. The agreement between radiologists was assessed with the Kendall τ coefficient. RESULTS: The HR-DLR sequences globally had a smaller pixel size and shorter acquisition time. A good inter-reader agreement was obtained for SR sequences (0.613 ≤ τ ≤ 0.788) and even higher levels of agreement for HR-DLR sequences (0.682 ≤ τ ≤ 0.961). All the structures had higher or similar Likert scores in HR-DLR sequences (p < 0.001), regardless of joint and sequence contrast. Apparent SNR and CNR of HR-DLR and SR were similar. CONCLUSION: Incorporating DLR into 1.5-T MSK MRI protocols enhances resolution and maintains SNR and CNR, improving MSK structure visualization. RELEVANCE STATEMENT: This study demonstrated the effectiveness of deep learning reconstruction in improving the efficiency of 1.5-T musculoskeletal MRI exams. Despite shorter acquisition times, the visibility of key MSK structures was consistently rated as superior or similar in higher-resolution images with DLR. KEY POINTS: MRI is one of the primary diagnostic tools for evaluating MSK injuries and disorders. Deep learning reconstruction (DLR) implemented in a 1.5-T MSK protocol improved resolution, still preserving SNR and CNR. Higher scores were assigned by different raters to the DLR images, showing image quality improvement.
29 May 2026
Read appraisal →JMIR mHealth and uHealth
Reducing Sedentary Time After Knee Replacement Using a Multicomponent mHealth Intervention: Randomized Controlled Trial
BACKGROUND: Total knee replacement (TKR) is a common surgery for end-stage knee osteoarthritis. Although reductions in pain and improvements in mobility occur after surgery, physical activity levels often do not change. Given the challenges of increasing physical activity in this population, targeting reductions in sedentary behavior may be a first step; however, no prior studies have examined the feasibility and effects of a sedentary reduction intervention after TKR. OBJECTIVE: This study examined the effects of a 2-month multicomponent mobile health sedentary reduction intervention (NEAT!2) on sedentary time in adults with TKR. METHODS: Adults (N=83; mean age 65.3, SD 9.4 years; mean BMI 32.7, SD 6.9 kg/m2; 62/83, 74.7% female; 64/83, 77.1% White) with a TKR ≤1 year ago were randomized to the NEAT!2 group (n=42, 50.6%) or the attention-matched control group (n=41, 49.4%). The NEAT!2 intervention focused on reducing sedentary time via a smartphone app designed to interrupt prolonged bouts (≥30 minutes) of sedentary behavior and through 5 coaching calls emphasizing goal setting and problem solving. The control group focused on surgery recovery via an app or website and 5 educational calls. Sedentary time, total physical activity, physical function, and pain were measured at 2 and 5 months. Linear mixed-effects models examined intervention effects and differences between groups at each time point. RESULTS: Retention was 96% and 95% at 2 and 5 months, respectively, with no differences between groups. Participants in the NEAT!2 group completed an average of 4.95 (SD 0.2) calls, used the app on an average of 40.3 (SD 13.8) days (out of 56 days), and received an average of 9.6 (SD 6.0) notifications per day. At 5 months, there was a significant increase in sit-to-stand transitions in the NEAT!2 group and a substantial decrease in the control group, resulting in a significant difference between groups (mean difference 4.06, 95% CI 0.13-7.99; P=.04); however, the NEAT!2 intervention did not result in significant effects on any of the other study outcomes at 2 or 5 months. Additionally, more days of app use were associated with greater increases in moderate-to-vigorous intensity physical activity (r=0.335; 95% CI 0.017-0.585; P=.04). CONCLUSIONS: This study highlights the challenges of reducing sitting time in adults with TKR. Future studies should explore alternative behavior change techniques across different levels of influence (eg, environmental and social) to support interventions implemented within the first year after TKR. TRIAL REGISTRATION: ClinicalTrials.gov NCT04482400; https://clinicaltrials.gov/ct2/show/NCT04482400.
28 May 2026
Read appraisal →JBJS reviews
Reconstruction of the Proximal Tibia and Extensor Mechanism After Tumor Resection: A Systematic Review and Meta-Analysis
BACKGROUND: Proximal tibia reconstruction after tumor resection is technically challenging due to the dual requirement of skeletal stability and extensor mechanism restoration. Multiple reconstruction methods exist, but comparative data on complications, survival, and functional outcomes remain limited. This study aimed to compare complication rates and implant survival across different proximal tibia reconstruction methods (megaprostheses, osteoarticular allografts [OAs], intercalary allografts [ICAs], and allograft-prosthetic composites [APCs]) and to evaluate how extensor mechanism reconstruction technique influences functional outcomes. METHODS: A systematic review and meta-analysis was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed and Embase databases were searched through September 2025. Studies reporting outcomes of proximal tibia and/or extensor mechanism reconstruction for oncologic indications were included. Complications were classified using the Henderson system. Random-effects meta-analysis was performed for complication rates, implant survival, and extension lag. Subgroup analyses were performed by reconstruction type. RESULTS: Seventy-eight studies including 2,825 patients were analyzed (mean age 25.9 years, mean follow-up 84.7 months). Prosthetic reconstruction demonstrated the lowest overall complication rate (39.2%, 95% confidence interval [CI] 32%-45%) compared with OAs (69.6%, 95% CI 55%-82%), APCs (52.7%, 95% CI 32%-73%), and ICAs (53.4%, 95% CI 34%-70%) (p = 0.004). Biological reconstructions had significantly higher structural failure rates (OA 31.0%, ICA 24.5% vs. prosthesis 5.5%, p < 0.001). Five-year implant survival showed no significant differences between prosthesis (75.3%), OA (67.4%), and APC (74.3%). At 10 years, survival rates converged across all methods (63%-71%). Extensor mechanism reconstruction technique significantly influenced extension lag: direct tendon-to-metal reattachment (11.0°) resulted in worse outcomes than synthetic augmentation (5.7°), allograft reattachment (4.6°), or autograft reconstruction (2.3°) (p < 0.001). CONCLUSION: While prosthetic reconstruction offers lower short-term complication rates, long-term implant survival is comparable across reconstruction methods. Extensor mechanism reconstruction technique is a critical determinant of functional outcome. Surgeons should consider techniques beyond simple direct reattachment, particularly synthetic augmentation or biological reconstruction, when feasible to optimize extension function. Individual patient factors should guide selection between prosthetic and biological reconstruction. LEVEL OF EVIDENCE: Level IV. See Instructions for Authors for a complete description of levels of evidence.
27 May 2026
Read appraisal →Journal of the International Society of Sports Nutrition
The effect of probiotic and synbiotic supplementation on sleep parameters in exercised population: a systematic review and synthesis without meta-analysis (SWiM) of randomized controlled trials
BACKGROUND: Sleep is crucial for recovery and optimal performance in athletes; however, poor sleep is common during periods of intensive training or competition. The microbiota-gut-brain axis suggests probiotics and synbiotics could modulate sleep, but evidence in exercised populations is limited. OBJECTIVE: To systematically review randomized controlled trials (RCTs) assessing the effects of probiotic and synbiotic supplementation on sleep in exercised populations, using a Synthesis Without Meta-analysis (SWiM) approach. METHODS: PubMed, Scopus, Web of Science, and ProQuest were searched up to September 2025. Eligible studies were RCTs including exercised individuals, testing probiotics or synbiotics, and reporting sleep outcomes. Data extraction, risk of bias assessment (RoB 2), and narrative synthesis followed SWiM guidelines. RESULTS: Six RCTs (n = 180) were included: four probiotic and two synbiotic interventions lasting 4-17 weeks. Populations included athletes from multiple sports across four continents. Nine of twelve primary sleep outcomes favored supplementation, with significant effects for probiotics (combined p < 0.01) and synbiotics (p < 0.001). Benefits were most consistent for subjective sleep quality and, in some cases, sleep latency. Secondary outcomes showed occasional reductions in stress, anxiety, and fatigue. CONCLUSION: Probiotic and synbiotic supplementation may improve sleep in exercised populations, especially perceived quality and latency. Evidence supports cautious, adjunctive use, but larger, standardized trials are needed to confirm effects.PROSPERO registration number: CRD420251151264.
26 May 2026
Read appraisal →Journal of medical Internet research
Association Between Wearable Device Adoption and Health-Related Lifestyle Behaviors: Retrospective Cohort Study
BACKGROUND: Wearable devices are increasingly adopted for personal health monitoring, but evidence on their long-term associations with health-related lifestyle behaviors in real-world population settings remains limited. OBJECTIVE: This study examined the longitudinal association between wearable device adoption and engagement in health-related lifestyle behaviors using a nationally representative panel dataset from South Korea. METHODS: We analyzed data from the 2016 and 2022 waves of the Korea Media Panel survey. Health-related lifestyle behaviors in the physical, social, and cultural domains were operationalized as estimated annual activity counts based on self-reported frequency measures. We used a difference-in-differences framework with generalized estimating equations to compare changes in these behaviors between new wearable adopters and nonadopters adjusting for demographic and socioeconomic characteristics. Relative changes were estimated using Poisson models with a log link, and subgroup analyses were conducted to explore variation across sociodemographic groups. As a sensitivity analysis, inverse probability of treatment weighting was additionally applied to assess the robustness of the findings to observed baseline imbalance. RESULTS: Wearable device adoption was associated with greater increases in total, physical, and cultural health-related lifestyle activities over time. In the difference-in-differences model, adopters showed greater relative increases in total activity (rate ratio [RR] 1.24, 95% CI 1.08-1.35), physical activity (RR 1.36, 95% CI 1.12-1.64), and cultural activity (RR 1.78, 95% CI 1.31-2.42) than nonadopters. Subgroup analyses showed limited evidence of consistent heterogeneity and should be interpreted cautiously. Sensitivity analyses using inverse probability of treatment weighting showed overall patterns broadly similar to those of the primary analyses. CONCLUSIONS: In this nationally representative panel study, wearable device adoption was associated with greater increases in total, physical, and cultural health-related lifestyle activities over time, whereas no clear association was observed for social activity. These findings should be interpreted as associative rather than causal given the observational design and the inability to directly assess parallel trends.
26 May 2026
Read appraisal →Archives of orthopaedic and trauma surgery
Loop versus anchor tenodesis of the long head of the biceps tendon: a prospective randomized controlled pilot study
BACKGROUND: The long head of the biceps tendon is a frequent source of anterior shoulder pain, often treated with tenodesis. While anchor tenodesis is well established, it carries risks of implant-related complications. This study evaluates an implant-free "loop tenodesis" technique as a potentially safer and cost-effective alternative. METHODS: In this prospective, double-blinded, randomized exploratory study, 48 patients undergoing arthroscopic biceps tenodesis were randomized to either loop (n = 24) or anchor (n = 24) tenodesis. Clinical outcomes were assessed using ASES, Constant, and DASH scores, as well as range of motion, supination strength, satisfaction, aesthetic appearance, and return-to-sport. Statistical analysis was performed using the Mann-Whitney U and Wilcoxon signed-rank tests to compare non-parametric data. RESULTS: Both groups showed significant improvements with similar gains in functional scores. Supination strength recovery was greater in the loop group (103% vs. 93%). There were no significant differences in range of motion or complications. Notably, only the anchor group showed cases of Popeye deformity (2 patients). Return to sport was achieved in 95.3% of patients, typically within 3 months. No revision or implant-related issues occurred. CONCLUSION: Loop tenodesis offers equivalent clinical outcomes to anchor-based techniques, with fewer aesthetic concerns and no implant-associated risks, making it a safe, reliable, and cost-effective alternative for biceps tenodesis.
25 May 2026
Read appraisal →Archives of orthopaedic and trauma surgery
Extracorporeal shockwave therapy in bone fractures: a systematic review
INTRODUCTION: The increasing incidence of fractures and cases of delayed union or nonunion has encouraged the search for non-invasive therapies. Extracorporeal shockwave therapy (ESWT) has been proposed as a strategy to stimulate bone regeneration and improve fracture healing. MATERIALS AND METHODS: A systematic review was conducted following PRISMA guidelines, with searches performed in PubMed, Scopus, Web of Science, and Embase (2005-2025). Clinical studies evaluating ESWT for fracture treatment with radiographic assessment of bone healing and the presence of a control group were included. RESULTS: A total of 834 studies were initially identified, of which 7 were included in the final analysis. Most studies demonstrated positive effects of ESWT, including improved bone healing, pain reduction, and functional recovery. However, there was considerable heterogeneity in treatment protocols and relatively small sample sizes. CONCLUSION: ESWT shows potential as a non-invasive therapy to stimulate fracture healing, particularly in cases of delayed union or nonunion. However, further controlled clinical trials and standardized protocols are needed to confirm its clinical effectiveness.
25 May 2026
Read appraisal →Medicine
Effect of a sports-medicine-guided football program on physical fitness in adolescents: A controlled school-based trial
Integrating artificial intelligence (AI) with sports medicine principles into school-based physical education may enhance physical fitness and reduce injury risk among adolescents. This study aimed to evaluate whether a 10-week sports-medicine-guided football curriculum augmented with explainable machine-learning feedback produces greater improvements in physical fitness and injury-prevention outcomes than a standard physical-education curriculum. A total of 195 healthy junior high school students (mean age 14.1 ± 0.7 years) participated in a controlled school-based intervention and were allocated to either an AI-supported sports-medicine curriculum (intervention) or a standard curriculum (control). Physical fitness outcomes, including lung capacity, estimated maximal oxygen uptake (VO2max), sprint performance, standing long jump, and middle-distance running performance (800 m girls/1000 m boys), were assessed before and after the 10-week program. Outcomes were analyzed using 2-way mixed analysis of variance to test Group × Time interactions. Injury risk prediction was supported by an explainable machine-learning ensemble model (CatBoost + Gradient Boosting) interpreted using SHAPley Additive explanations. Significant Group × Time interactions were observed for lung capacity (P < .01) and VO2max (P < .01), indicating greater improvements in the intervention group compared with controls. The intervention group also demonstrated superior improvements in sprint performance, middle-distance running, and lower-limb power (P < .05), while no significant between-group differences were observed for upper-body strength (P > .05). A school-based football curriculum integrating sports-medicine principles with explainable AI-driven feedback leads to significantly greater improvements in key physical-fitness outcomes than a standard physical-education curriculum. This approach directly supports individualized training adaptation and injury-risk awareness, offering a scalable model for enhancing adolescent health and safety in school physical education.
25 May 2026
Read appraisal →PloS one
A randomised crossover trial comparing photobiomodulation therapy with other recovery strategies in CrossFit athletes
BACKGROUND: This study compared the effects of different therapeutic modalities on recovery following the workout of the day (WOD) in CrossFit athletes, focusing on reducing muscle damage and improving functional performance. METHODS: In a randomised, controlled, crossover design, twelve CrossFit athletes underwent four post-WOD recovery interventions across four weeks: passive recovery (PR), intermittent pneumatic compression (IPC), extracorporeal shock wave therapy (ESWT), and photobiomodulation therapy combined with a static magnetic field (PBMT-sMF). Assessments were conducted at baseline, and at 1, 24, and 48 hours post-WOD. The primary outcome was vertical jump performance (countermovement jump [CMJ] height) at 1-hour post-WOD; secondary outcomes included lactate dehydrogenase (LDH) levels, superoxide dismutase (SOD) and catalase (CAT) activity, thiobarbituric acid reactive substances (TBARS), carbonylated proteins, perceived exertion, and intervention satisfaction. RESULTS: There was no significant difference between interventions in CMJ height at 1-hour post-WOD. In contrast, PBMT-sMF outperformed the other interventions in the secondary outcomes. PBMT-sMF significantly improved CMJ height at 24 and 48 hours compared with PR (p < 0.05) and led to greater reductions in LDH at both time points (p < 0.05 and p < 0.001, respectively). PBMT-sMF also produced lower TBARS and carbonylated protein levels, with higher CAT and SOD activities at 24 and 48 hours (p < 0.05 and p < 0.0001, respectively). CAT and SOD activities were also significantly elevated at 1 hour post-WOD compared with PR (p < 0.05). CONCLUSIONS: PBMT-sMF may be an effective recovery strategy for CrossFit athletes, with its benefits possibly related to the modulation of oxidative stress as an underlying mechanism. TRIAL REGISTRATION: Trial registration number: NCT06628609.
24 May 2026
Read appraisal →Lasers in medical science
Acute effect of photobiomodulation therapy in quadriceps strength, fatigue and pain of patients with chronic kidney failure: a randomized, double-blind, placebo controlled crossover clinical trial
Patients with chronic kidney failure (CKF) present changes in physical capacity and low exercise tolerance. Photobiomodulation therapy (PBMT) has shown an ergogenic effect on exercise in studies with different populations and may be an adjuvant treatment in rehabilitation programs for CKF patients. This study aimed to evaluate the acute effects of different doses of PBMT on quadriceps strength, fatigue and muscle pain in CKF patients. This study is a randomized, placebo-controlled, double-blind, crossover clinical trial. Adult patients with CKF received four PBMT applications with different energy doses (30J, 60J, 90J, or placebo), administered in a random order. A one-week interval was maintained between each dose, and an 830nm laser was applied to six points of the quadriceps muscle. Immediately after PBMT, maximal isometric quadriceps muscle strength was assessed by dynamometry. Before the intervention and after the assessment of muscle strength, muscle fatigue (Borg rating of perceived exertion scale and blood lactate) and pain perception in the lower limbs (visual analogue scale) were measured. Fifteen patients were randomized and fourteen completed the study. There was no significant difference between the doses tested for maximal isometric muscle strength in the right (p=0.053) and left (p=0.509) quadriceps. The perception of fatigue assessed by the modified Borg scale was not altered (p=0.703) nor were blood lactate levels, regardless of the PBMT dose and measurement time (t0: p=0.126; t3: p=0.667; t6: p=0.700). There was no change in pain perception after quadriceps irradiation for any of the PBMT doses tested (p=0.566). A single application of PBMT with a dose of 30J, 60J, or 90J did not alter maximal isometric quadriceps muscle strength, fatigue, or muscle pain perception in the lower limbs of CKF patients on HD.
24 May 2026
Read appraisal →Archives of osteoporosis
Management of osteoporosis in older men: a systematic review of randomized trials of pharmacological and non-pharmacological strategies
INTRODUCTION: Osteoporosis in older men is often underdiagnosed and undertreated, increasing the risk of fractures and functional decline. Despite its clinical relevance, evidence specific to this population remains limited. This systematic review evaluated the effectiveness of pharmacological and non-pharmacological interventions in reducing fracture risk and improving bone mineral density (BMD) in older men with primary or secondary osteoporosis. METHODS: Searches were conducted in PubMed, EMBASE, Scopus, Cochrane Library, Web of Science, SciELO, PEDro, and LILACS, in addition to gray literature sources. Randomized controlled trials (RCTs) evaluating pharmacological and non-pharmacological interventions were included. Analyses were performed using RStudio (v. 4.3.3), and risk of bias was assessed using the RoB 2 tool. Results Twelve RCTs were included (10 pharmacological, one nutritional, and one exercise-based). The mean age was 60.9 ± 5.2 years, with baseline T-scores of - 2.9 ± 0.3 at the lumbar spine and - 2.7 ± 0.4 at the femoral neck. Bisphosphonates and teriparatide showed modest improvements in BMD, while effects on fracture risk were inconsistent. Resistance exercise (60-90 min/day) and L-carnitine supplementation were associated with BMD benefits, although evidence was limited by methodological constraints. Risk of bias varied across studies. CONCLUSION: Pharmacological therapies improve BMD in older men; however, evidence remains insufficient to demonstrate consistent fracture risk reduction. Non-pharmacological interventions show potential benefits but are supported by limited evidence. Larger randomized trials with clinically relevant outcomes are needed.
24 May 2026
Read appraisal →Journal of medical Internet research
Effectiveness of a Blended Intervention to Promote Physical Activity Among Office Employees: Randomized Controlled Trial
BACKGROUND: Regular moderate-to-vigorous physical activity (MVPA) reduces the risk of noncommunicable diseases, yet one-third of adults globally fail to meet MVPA recommendations. Office employees, among the least active groups, face heightened risks due to prolonged sedentary behavior and barriers like lack of time, fatigue, and low motivation. Although scalable, web-based interventions frequently face challenges, such as low engagement, high attrition, and limited personalization. Blended interventions, combining digital tools with interactive components, show promise but lack robust evidence among office employees. OBJECTIVE: This study aimed to evaluate the effectiveness of a theory- and evidence-based blended intervention in increasing MVPA among office employees. METHODS: This 24-week, 3-arm randomized controlled trial included 141 office employees, randomized equally into blended (web-based+electronic workshops [e-workshops]), web-based only, and control groups. The intervention was developed using the intervention mapping framework, ensuring a systematic, evidence- and theory-based design tailored to the needs of the target population. All participants accessed a study website; the control group used the "Library" module with general MVPA information, while intervention groups also accessed a tailored, theory-driven "Intervention" module. The blended group additionally attended 3 live e-workshops (weeks 2, 4, and 8). MVPA was objectively measured using hip-worn accelerometers at baseline (T1), postintervention (12 wk, T2), and follow-up (24 wk, T3). Retention, engagement, and acceptability were assessed. Analyses followed the intention-to-treat principle, and generalized linear mixed models were used to evaluate between-group differences at T2 and T3, adjusted for baseline MVPA, sex, and ActiGraph LEAP (Ametris) wear time. RESULTS: A total of 141 participants (mean age 32.1, SD 9.2 y; 75/141, 53.2% female) were randomized evenly across groups with comparable baseline characteristics, except for sex (P=.002). The blended group showed significantly greater MVPA increases than the control at T2 (β coefficient=0.247, 95% CI 0.013-0.480; P=.04) and T3 (β coefficient=0.373, 95% CI 0.139-0.607; P=.002), and greater increases than the web-based at T2 (β coefficient=0.287, 95% CI 0.062-0.512; P=.01) and T3 (β coefficient=0.368, 95% CI 0.138-0.597; P=.002). Sensitivity analyses confirmed the robustness of these findings. Retention and engagement rates were 83% and 56%, respectively. Participants reported high acceptability across all domains. CONCLUSIONS: A blended intervention integrating tailored web content with interactive e-workshops significantly increased MVPA at T2 and T3 compared with both web-based and control groups. This success stems from the rigorous intervention mapping framework, which systematically identified effective behavior change and habit formation theories, while the blended approach addressed key limitations of traditional and web-based methods. These findings underscore the potential of evidence- and theory-based blended approaches to address common barriers to MVPA and promote sustainable MVPA in workplace settings, offering promising opportunities for broader scalability and personalization.
23 May 2026
Read appraisal →Medwave
Effects of manual therapy on pain and function in patients with plantar fasciitis: A systematic review of the literature
OBJECTIVE: Plantar fasciitis is common and impairs people's ability to move. Manual therapy is frequently used to treat plantar fasciitis. However, its effects are inconclusive. For this reason, the purpose of this systematic review is to determine the effect of manual therapy on plantar fasciitis. METHODS: A systematic review of the literature was conducted, following the PRISMA checklist. Five databases (CINAHL, Scopus, PubMed, Web of Science, and OVID) were searched, along with a review of the gray literature and a manual search. Randomized clinical trials from 2014 to 2024 were selected that examined the efficacy of manual therapy in reducing pain intensity and improving function in patients aged 18 to 60 years with a clinical diagnosis of plantar fasciitis. Methodological quality (PEDro scale) and risk of bias (risk of bias scale) were assessed. RESULTS: Four randomized clinical trials (n = 224) were included, reporting controversial statistical differences in pain and function. In addition, two studies reported clinically relevant changes favoring manual therapy. PEDro scale scores ranged from 4 to 6, and three studies presented a high risk of bias. CONCLUSIONS: The effects of manual therapy on pain and function in patients with plantar fasciitis are uncertain. The evidence is limited, heterogeneous, and lacking in methodological rigor. A larger number of randomized clinical trials with more consistent, replicable protocols are needed to determine the contributions of manual therapy to improving pain and function in patients with plantar fasciitis. Similarly, the inconsistency and limited evidence on indicators of clinical significance in the selected studies preclude an assessment of the clinical impact of this intervention. PROSPERO REGISTRATION: CRD42024501550. OBJETIVO: La fascitis plantar es común y genera alteraciones en la capacidad de moverse de las personas. La terapia manual se aplica frecuentemente en la fascitis plantar. Sin embargo, sus efectos no son concluyentes. Por esta razón, el propósito de esta revisión sistemática es determinar del efecto de la terapia manual sobre la fascitis plantar. MÉTODOS: Se realizó una revisión sistemática de la literatura, considerando la lista de verificación de PRISMA. Se consultaron cinco bases de datos (CINAHL, Scopus, PubMed, y OVID) junto con consulta de la literatura gris y búsqueda manual. Se seleccionaron ensayos clínicos aleatorios de 2014 a 2024 que consideraron la eficacia de la terapia manual en el cambio de la intensidad del dolor y funcionalidad en pacientes con diagnóstico clínico de fascitis plantar entre 18 y 60 años. Se determinó la calidad metodológica (escala PEDro) y riesgo de sesgo (escala riesgo de sesgo). RESULTADOS: Se incluyeron cuatro ensayos clínicos aleatorizados (n = 224), que reportaron diferencias estadísticas controversiales para dolor y la funcionalidad. Además, dos estudios reportaron cambios clínicamente relevantes a favor de la terapia manual. Los puntajes de la escala PEDro variaron de 4 a 6, y tres estudios presentaron alto riesgo de sesgo. CONCLUSIONES: Los efectos de la terapia manual sobre el dolor y la funcionalidad en pacientes con fascitis plantar son inciertos. La evidencia es limitada, heterogénea y con bajo rigor metodológico. Es necesario un mayor número de ensayos clínicos aleatorizados, con protocolos más consistentes y replicables para concluir definitivamente sobre los aportes de la terapia manual en los efectos clínicos en el dolor y funcionalidad de pacientes con fascitis plantar. De igual forma, la inconsistencia y limitada evidencia de indicadores de significancia clínica en los estudios seleccionados, no permite evaluar el impacto clínico de esta intervención. REGISTRO DEL PROTOCOLO: PROSPERO CRD42024501550.
23 May 2026
Read appraisal →ACS sensors
In Situ Formation of Mechanical Interlocking Skin and Electronics Interfaces through Dual-Phase Transition of Conductive Materials
The increasing demand for daily health monitoring has accelerated the development of wearable devices. However, conventional wearables, typically based on rigid materials and external fixation methods, suffer from interfacial instability during dynamic motion and heavy sweating, leading to signal distortion and device delamination. Skin-like wearable electronics and in situ fabrication strategies have emerged to improve conformability and signal stability. However, challenges remain in achieving a stable skin-device interface and reliable performance under dynamic conditions using simplified fabrication methods. Here, we present a flexible multiparameter monitoring device that integrates with the skin through a skin-electronics interface undergoing a dual-phase transition from hydrogel to liquid and subsequently to a solid state via in situ heating and photonic crosslinking. This transition forms mechanically interlocked structures that ensure robust adhesion and stable skin contact even under humid and high-acceleration conditions. Rapid curing enabled by an integrated heating layer and optical waveguide reduces the fabrication time to 1 min, allowing efficient on-demand deployment. The device achieves stable monitoring of ECG, PPG, acceleration, and temperature signals and supports Bluetooth data transmission under accelerations up to 11 g, as well as during swimming and showering. Furthermore, machine-learning-based motion recognition and individual identification models achieve 100% accuracy. This work advances in situ-fabricated wearable electronics by improving fabrication efficiency, interfacial robustness, and environmental adaptability, providing a promising platform for portable physiological monitoring.
23 May 2026
Read appraisal →ACS sensors
Moisture-Gated Bio-Semiconductor Electronic Tattoos for Continuous and Imperceptible On-Skin Respiratory Monitoring
Continuous respiratory monitoring remains one of the most critical yet unmet needs in personal and clinical healthcare. To overcome the limitations of cumbersome systems and motion-prone wearables, we present a moisture-gated bio-semiconductor-based electronic tattoo (BSET) that enables imperceptible, skin-conformable, and wireless respiratory monitoring by leveraging the hydration-sensitive ionic-electronic conductivity of melanin and the skin-compatibility of silk. Fabricated from a silk fibroin-melanin nanofiber bio-composite, the BSET is ultrathin at 18 μm and highly breathable, achieving a water vapor transmission rate exceeding 3000 g·m-2·d-1. By detecting exhaled moisture directly on the philtrum, the sensor exhibits a rapid response time of 1 s and a recovery time between 2 and 10 s. A direct-spun nanofiber-based wiring strategy ensures robust integration, accommodating a 10 mm displacement under 10.4 MPa of stress without failure. Driven by a compact 3 g circuit with 20 mW of power consumption, the system supports continuous wireless data transmission for over 7.3 h. During vigorous exercise and sleep, the BSET reliably monitored respiratory dynamics, identifying 10-20 s apnea events and enabling multiparameter analysis of breathing frequency and exhalation intensity. This lightweight system establishes a scalable and clinically relevant solution for continuous respiratory surveillance.
23 May 2026
Read appraisal →ACS sensors
Recent Advances in Electrospun Nanofiber-Based Wearable Sweat Sensors
Electrospun nanofibers, owing to their high porosity, flexibility, straightforward fabrication, and tunable physicochemical properties, have been widely employed in wearable sensors for gas detection, temperature monitoring, pulse measurement, gesture recognition, and other applications. In recent years, research on employing electrospun nanofibers in wearable sweat sensors has grown substantially. This paper provides the first comprehensive review of the research progress in electrospun nanofiber-based wearable sweat sensors, focusing on structural design, device fabrication, and potential applications. The review begins with a concise introduction to the fundamental aspects of electrospun nanofibers, including their formation principles, processing routes, material selection, and morphological characteristics. It then delves into the key components involved in constructing wearable sweat sensors based on electrospun nanofibers, such as reagent immobilization matrices, signal-enhancing materials, flexible substrates, and sweat collection components. A detailed analysis of the functional mechanisms of nanofibers in these contexts is provided, accompanied by an assessment of their advantages and limitations. Furthermore, recent applications of electrospun nanofiber-based wearable sweat sensors are systematically reviewed. Finally, the review discusses the challenges and potential future applications of electrospun nanofibers in wearable sweat sensors. This comprehensive overview aims to keep researchers informed of the latest advancements in the field and to stimulate further innovative developments.
23 May 2026
Read appraisal →JBJS reviews
Medial Parapatellar vs. Transpatellar Approach in Tibial Intramedullary Nailing: A Systematic Review and Meta-Analysis of Pain and Function
BACKGROUND: Tibial intramedullary nailing (IMN) is the standard treatment for tibial shaft fractures, yet anterior knee pain (AKP) remains common, affecting nearly 47% of patients. Despite the reported advantages of suprapatellar techniques, infrapatellar approaches-medial parapatellar (MPP) and transpatellar (TP)-remain the most commonly used methods for tibial IMN. This systematic review and meta-analysis compares MPP and TP approaches regarding pain, AKP incidence, range of motion (ROM), knee function, and fracture healing. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, PubMed, Embase, Scopus, and Web of Science were searched up to November 2024. Randomized clinical trials (RCTs) and comparative observational studies in adults undergoing tibial IMN via MPP or TP approaches were included. Outcomes were AKP incidence, pain intensity, knee function, ROM, and union-related variables. Pooled mean differences (MDs) and risk ratios (RRs) were calculated using random-effects and common-effects models. RESULTS: Twelve cohort studies (782 patients) and 9 RCTs (462 patients) were included. Across cohort studies, MPP was associated with a significantly lower AKP risk at latest follow-up (RR = 0.76 [0.63; 0.90]) and at 6 months. Visual analog scale pain at 3-month postoperative also favored MPP (MD = -1.27 [-1.94; -0.60]) but did not reach the minimal clinically important difference. RCTs demonstrated similar trends toward lower pain and AKP with MPP, but without statistical significance. Functional outcomes and ROM generally favored MPP across both study designs, though findings were inconsistent and unsuitable for pooling. Fracture healing and union rates were comparable between approaches. CONCLUSION: The MPP approach for tibial IMN was linked to a lower incidence of AKP compared with the TP approach, while offering comparable or better functional outcomes, ROM, and pain intensity. These findings suggest MPP as the preferred infrapatellar approach in appropriate clinical settings. Nonetheless, high-quality studies with standardized outcome measures are essential to validate these findings. LEVEL OF EVIDENCE: Level III (systematic review of RCTs and retrospective comparative studies). See Instructions for Authors for a complete description of levels of evidence.
21 May 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Creatine monohydrate for lean mass, strength, and bone density in postmenopausal women: a systematic review and meta-analysis
BACKGROUND: Menopause is accompanied by accelerated losses in muscle mass and strength and declining bone density. Whether creatine monohydrate benefits postmenopausal women are uncertain. METHODS: We systematically reviewed randomized, placebo-controlled trials examining creatine supplementation, with or without resistance training (RT), in postmenopausal women. MEDLINE, Embase, Scopus, Web of Science, SPORTDiscus, and Cochrane CENTRAL were searched from 2000 to August 2025, supplemented by trial registries and reference-list screening. Eligible studies included postmenopausal women aged ≥40-45 years, intervention durations ≥6 weeks for primary analyses, and outcomes including DXA-derived lean mass, one-repetition maximum (1RM) strength, bone mineral density, physical function, and safety. Dual screening, duplicate extraction, and Cochrane RoB 2 assessment were performed. Random-effects meta-analysis used the Paule-Mandel estimator for τ² with Hartung-Knapp-Sidik-Jonkman adjustment. Heterogeneity (τ², I²), 95% prediction intervals, subgroup analyses by RT status, exploratory dose/duration meta-regression, small-study effects, and GRADE certainty were assessed. RESULTS: Seven RCTs (n = 608 randomized; duration 12-104 weeks, median 38 weeks) enrolled postmenopausal women (mean age ≈ 62 y). Lean mass (k = 5; n = 338) favored creatine: mean difference (MD) + 0.37 kg (95% CI + 0.05 to + 0.69; I² = 25%; τ² = 0.01; 95% PI -0.10 to + 0.84). Leg-press 1RM (k = 3; n = 111) improved with creatine: MD + 7.5 kg (95% CI + 2.2 to + 12.8; I² = 0%). Benefits were evident when creatine ≥ 5 g·day⁻¹ was combined with RT; trials using ≤ 3 g·day⁻¹ without RT showed no measurable effect. Bone density was unchanged overall. Adverse events were mild and similar to placebo; renal indices were unchanged. Risk of bias was mostly "some concerns;" one large, preregistered, double-blind RCT was at low risk. CONCLUSIONS: In postmenopausal women, creatine, particularly ≥ 5 g·day⁻¹ with RT, yields small but meaningful gains in lean mass and strength without evidence of harm. Effects on bone density remain unclear.Registration: This review was not prospectively registered. De-identified data and supplementary materials were deposited on OSF after completion of the analysis (DOI: 10.17605/OSF.IO/BVTRZ).
18 May 2026
Read appraisal →Journal of rehabilitation medicine
Efficacy of ultrasound-guided intra-articular hyaluronic acid injection in the management of adhesive capsulitis: a randomized controlled trial
OBJECTIVE: To compare the efficacy and safety of ultrasound-guided intra-articular hyaluronic acid injection versus supervised rehabilitation in patients with frozen-phase adhesive capsulitis. DESIGN: Single-center, parallel-group, randomized controlled trial with 26-week follow-up. SUBJECTS/PATIENTS: Forty-six adults aged 40-70 years with clinically and radiologically confirmed frozen-phase adhesive capsulitis. METHODS: Participants were randomly assigned to receive either three weekly ultrasound-guided intra-articular hyaluronic acid injections or supervised physical therapy twice weekly for six weeks. Outcomes assessed at baseline and at weeks 4, 6, 8, and 26 included the Shoulder Pain and Disability Index (SPADI) and shoulder range of motion. RESULTS: Both groups achieved significant within-group improvements in SPADI and range of motion over 26 weeks (all p < 0.01 vs. baseline). No statistically significant between-group differences were observed in total SPADI or its pain and disability subscales at any follow-up time point (all p > 0.05). At week 26, the hyaluronic acid group's mean total SPADI decreased from 43.0 ± 17.7 to 16.1 ± 12.8 (p < 0.01), while the rehabilitation group improved from 52.0 ± 18.4 to 23.2 ± 21.8 (p < 0.01). Pain subscores were reduced by 64.3% (hyaluronic acid) and 56.1% (rehabilitation); function subscores decreased by 60.9% and 54.8%, respectively (all p < 0.01). Both groups showed significant gains in active and passive flexion, abduction, and external rotation, without significant between-group differences (all p > 0.05). No treatment-related adverse events were observed. CONCLUSION: Ultrasound-guided hyaluronic acid injection and supervised rehabilitation produced comparable and clinically meaningful improvements in pain, function, and shoulder mobility in frozen-phase adhesive capsulitis.
17 May 2026
Read appraisal →Archives of women's mental health
Multidimensional psychological and neurophysiological effects of moderate- and low-intensity exercise on pregnant women: an integrative systematic review and Bayesian framework network meta-analysis
BACKGROUND: Pregnancy-related mental health disorders are an increasingly important global public health concern. Exercise interventions have gained attention as safe, non-pharmacological strategies for improving maternal psychological and neurophysiological well-being. However, comparative evidence regarding different exercise modalities and intensities remains limited. OBJECTIVE: This study aimed to systematically evaluate and rank the effects of different prenatal exercise modalities and compare moderate- versus low-intensity exercise protocols on maternal mental health and neurophysiological outcomes during pregnancy. METHODS: A Bayesian network meta-analysis was conducted following PRISMA-NMA guidelines. PubMed, Embase, Cochrane Central, and PsycINFO were systematically searched. Thirty-six randomized controlled trials involving 4,577 pregnant participants were included. Methodological quality was assessed using the Cochrane RoB 2.0 tool. Treatment effects were ranked using the surface under the cumulative ranking curve method. RESULTS: Moderate-intensity aerobic training showed the strongest effect on reducing prenatal depression, with a SUCRA value of 0.89. Yoga-based interventions were particularly effective for anxiety reduction, with a SUCRA value of 0.76, and ranked second in the overall outcome evaluation, with a SUCRA value of 0.82. Neurophysiological findings indicated that yoga showed the greatest benefit for cortisol regulation, whereas aquatic exercise demonstrated distinctive anti-inflammatory effects. Subgroup analyses suggested that moderate-intensity exercise tended to produce greater reductions in depression, while low-intensity exercise showed comparable or superior effects on anxiety and cortisol modulation. Meta-regression further indicated that interventions conducted three times per week and lasting more than 12 weeks were associated with larger effect sizes. The certainty of evidence ranged from moderate to high across primary comparisons. CONCLUSION: This network meta-analysis provides a preliminary evidence hierarchy for prenatal exercise interventions. Moderate-intensity aerobic exercise may be most beneficial for reducing prenatal depression, while yoga appears particularly suitable for anxiety and cortisol regulation. These findings offer clinicians a reference framework for individualized prenatal exercise recommendations and support the integration of exercise into maternal mental healthcare.
16 May 2026
Read appraisal →Annals of medicine
Impact on analgesia, diaphragmatic function, and recovery between erector spinae plane block versus superior trunk block in arthroscopic shoulder surgery: a randomized controlled trial
BACKGROUND: Effective analgesia and preservation of diaphragmatic function are key considerations in analgesia for shoulder surgery. The superior trunk block provides analgesia with reduced phrenic nerve involvement, while the erector spinae plane block offers minimal impact on diaphragm motion. This randomized controlled trial compared the analgesic efficacy, impact on diaphragmatic motion, and postoperative recovery between the two blocks. METHODS: Sixty patients undergoing arthroscopic shoulder surgery were randomized to receive either erector spinae plane block or superior trunk block. Primary outcomes were postoperative VAS and changes in diaphragmatic excursion. Secondary outcomes included Quality of Recovery-15 (QoR-15) scores, morphine-equivalent consumption, and the handgrip strength motor blockade. RESULTS: The superior trunk block resulted in significantly lower dynamic VAS at 1-h postoperatively (0.1 [0.0, 0.2] vs. 5.7 [4.0, 7.6]; p < 0.001) and reduced 24-h morphine consumption (7.8 [2.5, 15.0] mg vs. 12.7 [7.5, 17.3] mg; p = 0.038) compared to the erector spinae plane block. However, diaphragmatic excursion was better preserved in the erector spinae plane block group (8.37% ± 20.7% vs. -20.09% ± 22.2%; p < 0.001), with a lower incidence of partial hemidiaphragm paresis (3.3% vs. 46.7%; p < 0.001). At 24 h postoperatively, QoR-15 scores were higher in the superior trunk block group (p = 0.047), and no patient in either group developed handgrip motor blockade. CONCLUSIONS: Superior trunk block offers superior early postoperative analgesia and better overall recovery, while erector spinae plane block minimizes diaphragmatic impairment. However, the erector spinae plane block may represent an option only in carefully selected patients at high respiratory risk, acknowledging its significantly poorer early analgesic profile.
15 May 2026
Read appraisal →European respiratory review : an official journal of the European Respiratory Society
Exploring the role of cold air in airway hyperresponsiveness and asthma diagnostic testing: a systematic review and meta-analysis
BACKGROUND: Asthma is a heterogeneous disease, making uniform diagnosis challenging, resulting in both under- and overdiagnosis. We conducted a systematic review and meta-analysis to summarise the data on diagnostic accuracy of a cold air bronchial challenge test (CACh) in exercise-induced bronchoconstriction and asthma. METHODS: Databases (PubMed, Embase, Web of Science core collection, Cochrane Library and the Cumulative Index to Nursing and Allied Health Literature via EBSCO) were systematically screened for articles evaluating the use of CACh as a diagnostic tool in exercise-induced bronchoconstriction and asthma. A random-effects model was used to calculate the effect on the reduction in forced expiratory volume in 1 s (FEV1) by CACh in healthy controls compared to patients with asthma. Risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-Comparative. This study is registered with PROSPERO (www.crd.york.ac.uk/PROSPERO/ identifier number CRD42021290350). RESULTS: After screening and removal of duplicates, 39 studies were included. Aggregate sensitivity and specificity of a FEV1 decrease ≥10% after CACh were 0.808 and 0.959, respectively. The weighted mean difference in percentage FEV1 decrease after CACh for patients with asthma compared to healthy controls was -17.58. High heterogeneity (I2=99) was mainly explained by differences in reference tests to diagnose asthma. Application of the trim-and-fill method to account for publication bias imputed eight studies, resulting in a notable reduction in heterogeneity. The overall effect (a significant decrease in FEV1 in patients with asthma) remained statistically significant (-8.18, p<0.001). CONCLUSION: Our study shows the high sensitivity and specificity and possible clinical implications of a CACh in the diagnosis of asthma. Further research is needed to confirm this.
15 May 2026
Read appraisal →PloS one
Effects of β-alanine supplementation on kickboxing-specific anaerobic performance, neuromuscular power, and strength endurance: A randomized, double-blind, placebo-controlled trial
β-Alanine (BA) elevates skeletal muscle carnosine and may improve repeated high-intensity performance; however, evidence in kickboxing is limited. This study investigated the effects of 4-week BA supplementation on sport-specific kickboxing anaerobic performance, neuromuscular power, and strength endurance in trained male kickboxers. Twenty-eight athletes were randomly assigned to BA (6.4 g·day ⁻ ¹; n = 14) or placebo (n = 14) in a double-blind, placebo-controlled design. Pre- and post-intervention assessments included the Kickboxing Anaerobic Speed Test (KAST₁-₅, KASTbest, KASTtotal, Performance Decrement Index [PDI]), neuromuscular power (countermovement jump [CMJ], squat jump [SJ]), and strength endurance tests (push-up, pull-up). Baseline differences were tested via t-tests, effect sizes calculated according to Hedges' g formula. Group × time effects were analyzed using two-way repeated-measures ANOVA with partial eta squared (ηp²) effect sizes. Baseline measures were comparable (all p > 0.05). After supplementation, no significant group × time interactions emerged for CMJ (p = 0.148), SJ (p = 0.717), KAST₁-₅ (all p > 0.05), KASTbest (p = 0.071), or PDI (p = 0.454). However significant improvements were observed in the BA group for KASTtotal (F(1,26) = 14.49, p < 0.001, ηp² = 0.358), push-ups (F(1,26) = 5.89, p = 0.023, ηp² = 0.185), and pull-ups (F(1,26) = 9.79, p = 0.004, ηp² = 0.274). Four weeks of BA supplementation enhanced total anaerobic performance (KASTtotal) and upper-body strength endurance (push-up, pull-up), while no significant changes were observed in neuromuscular jump performance (CMJ, SJ). BA appears to be a practical ergogenic aid for improving repeated-effort and strength-endurance capacity in kickboxing. Clinical trial registration ClinicalTrials.gov (NCT07319052).
15 May 2026
Read appraisal →PloS one
The impact of walking on creative thinking: A systematic review and meta-analysis
BACKGROUND: Walking is associated with many benefits, from improved mental health to a reduced risk of mortality - but can it boost creative thinking? Current evidence suggests a positive effect of physical activity on creative thinking, but the specific effect of walking has not been adequately explored. METHODS: We conducted a systematic search of the PsycINFO, MEDLINE, Scopus, and ProQuest databases from inception to 8 January 2025 using search terms related to walking and creativity. We then performed meta-analyses of Cohen's d effect sizes to assess the effect of walking on creative thinking, as represented by divergent thinking (the ability to generate novel and useful ideas) and convergent thinking (the ability to analyze and select ideas to find the best solution). We assessed study quality using a creativity-specific tool, and the certainty of the evidence with the Grading of Recommendations Assessment, Development and Evaluation Framework. RESULTS: We identified 23 studies (12 randomized experimental studies, nine non-randomized experimental studies, two observational studies) from 16 articles including a total of 1,036 participants, most of whom were post-secondary students. We found moderate certainty evidence of a large effect of walking on divergent thinking (d = 0.93 [95% CI 0.44, 1.42]), and very uncertain evidence of a null effect of walking on convergent thinking (d = 0.16 [95% CI -0.31, 0.63]). Sensitivity analyses of randomized trials only found similarly large effects of walking on divergent thinking ability (d = 0.82 [95% CI 0.35, 1.28]). CONCLUSION: Results suggest that walking likely results in a large increase in divergent thinking, indicating its potential as an intervention to stimulate creative idea generation.
15 May 2026
Read appraisal →PloS one
Oral carbohydrate sensing enhances prefrontal cortex oxygenation, reduces perceived exertion, and improves high-intensity cycling performance: A randomized crossover trial
PURPOSE: Carbohydrate mouth rinsing (CHO-MR) and music listening (MUS) are non-metabolic interventions proposed to attenuate cognitive and perceptual fatigue during exercise. However, their comparative effects on prefrontal cortical oxygenation, executive function, and perceived exertion during high-intensity endurance performance remain unclear. This study examined the effects of CHO-MR and MUS on dorsolateral prefrontal cortex (DLPFC) oxygenation, cognitive performance, perceived exertion, and cycling performance during a 4-km time trial (TT). METHODS: Eleven trained cyclists (7 men, 4 women) completed a randomized, single-blind, crossover trial under three conditions: CHO-MR, MUS (120 beats/min), and placebo mouth rinse (PLA). Bilateral DLPFC oxygenation was assessed using functional near-infrared spectroscopy at rest, during Stroop testing, post-intervention, and post-TT. Stroop performance, rating of perceived exertion (RPE); every 500 m, completion time, power output, heart rate, and blood lactate were measured. Outcomes were analyzed using generalized estimating equations adjusted for period, sequence, and first-order carryover effects with robust standard errors. RESULTS: CHO-MR increased bilateral DLPFC oxygenation compared with MUS and PLA at post-intervention and post-TT time points (p < 0.05), with no differences at rest or baseline. Stroop performance was superior in CHO-MR relative to MUS and PLA following the TT (p < 0.001), without between-condition differences at earlier assessments. RPE was lower in CHO-MR than PLA across all intervals (p ≤ 0.01) and lower than MUS at mid-trial distances (p < 0.05). CHO-MR resulted in faster completion times, greater mean power output, and higher mean speed compared with MUS and/or PLA (p < 0.05), whereas peak power, heart rate, and blood lactate did not differ among conditions. Pooled change-score analyses demonstrated positive associations between bilateral ΔDLPFC oxygenation (p < 0.001) and between ΔDLPFC oxygenation and ΔStroop performance (p < 0.05). CONCLUSION: CHO-MR enhances bilateral DLPFC oxygenation, preserves executive function, and reduces perceived exertion during high-intensity endurance exercise, translating into improved performance without detectable peripheral metabolic alterations. These findings support a central neurocognitive mechanism underlying the ergogenic effects of oral carbohydrate sensing. TRIAL REGISTRATION: ClinicalTrials.gov NCT07099807.
14 May 2026
Read appraisal →PloS one
Burden and predisposing factors of physical inactivity among adults in Africa: Systematic review and Meta-analysis
INTRODUCTION: Physical inactivity is a primary driver of global mortality, data on its specific impact in Africa remains fragmented. We conducted this study to provide the first comprehensive pooled prevalence and identify predisposing factors contributing to physical inactivity among African adults. METHOD: We searched PubMed, Scopus, Embase, and Google Scholar for studies published between March 1, 2010, and March 31, 2025. A quality assessment of the studies was performed through the Newcastle-Ottawa Scale (NOS). The random-effect (DerSimonian) model was used to calculate the aggregated rates of physical inactivity among adults and their predisposing factors. Heterogeneity was assessed using the I2 statistic, along with subgroup and sensitivity analyses. Publication bias was evaluated using Egger's test, and all analyses were performed in STATA, version 17. RESULTS: This systematic review and meta-analysis included 34 studies with a total of 41,521 participants. The pooled prevalence of physical inactivity was 45% (95% CI: 35%-55%), and there was considerable heterogeneity (I2 = 98.4%). The highest prevalence of 57% (95% CI: 0.33, 0.81) I2 = 97.7 seen in 2013 and the lowest prevalence 28% (95% CI: 0.03, 0.53) I2 = 94.3%) observed in 2011. This study identified that, being female (OR = 1.87; 95% CI: 1.55, 2.25), Adults aged ≥ 60, (OR=2.18; 95% CI:1.98,4.77), being obese (OR=3.52; 95% CI: 2.26,5.49), urban dweller (OR=1.91, 95% CI:1.24,2.95), being overweight (OR=2.03; 95% CI: 1.61,2.68), depression symptom (OR= 1.34;95% CI: 1.07,1.68) and more drinking of alcohol (OR=1.73; 95% CI: 1.18,2.64), were significant predisposing factors associated with prevalence of physical inactivity. CONCLUSION: A high level of physical inactivity was observed amongst the African adults. Our findings indicate that female gender, older age, being overweight and obese, high levels of alcohol consumption and depression are significant predictors of physical inactivity in the African population. Promoting awareness about the positive impacts of regular exercise on health among women and an elderly age group could effectively lower the chances of hypokinetic diseases.
13 May 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Post-activation performance enhancement (PAPE) and taurine combination improves anaerobic performance in highly trained wrestlers: a double-blind, randomized, crossover study
BACKGROUND: PAPE is a physiological phenomenon that temporarily enhances muscular strength and responsiveness following high-intensity muscle activity. This study aimed to investigate the acute effects of a PAPE protocol combined with taurine supplementation on anaerobic performance, blood lactate levels, and neuromuscular fatigue in highly trained male wrestlers. METHODS: Twenty elite male wrestlers participated in a double-blind, crossover design comprising three separate sessions: (i) control with no supplementation or PAPE protocol (CON), (ii) PAPE protocol with placebo (PAPE*PLA), and (iii) PAPE protocol with taurine supplementation (PAPE*TAU). In the PAPE*PLA and PAPE*TAU conditions, participants completed 3 sets of 8 repetitions of squat and hip thrust exercises at 85% of their one-repetition maximum. Either a taurine supplement or a sucrose placebo was administered 60 minutes before the protocol. Five minutes after the PAPE protocol, the Wingate anaerobic power (WanT) test was conducted, while CMJ tests were performed before (CMJ-pre), immediately after (CMJ-post), and five minutes following (CMJ-post-5) the WanT. RESULTS: The PAPE*TAU condition resulted in significantly higher peak power output (16.76% increase; p = 0.048) and power relative to body mass (22.24% increase; p = 0.028) compared to PAPE*PLA and CON. Additionally, post-test blood lactate levels were significantly lower in the PAPE*TAU condition (p < 0.05), and CMJ performance was significantly better post-exercise (p < 0.05), indicating reduced neuromuscular fatigue. CONCLUSION: In conclusion, the combination of the PAPE protocol with taurine supplementation enhances anaerobic performance, supports neuromuscular function, and promotes metabolic recovery following high-intensity exercise. These findings suggest a synergistic effect that may benefit athletes engaged in explosive and anaerobic sports such as wrestling.
13 May 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Carbohydrate supplementation for endurance exercise in the heat: a systematic review with practical recommendations
BACKGROUND AND OBJECTIVES: Endurance exercise performance is impaired by heat stress. Although the mechanisms are not yet fully understood, heat-induced increases in glycogenolysis may play a role. Therefore, carbohydrate supplementation recommendations may differ for endurance exercise in hot environments. This systematic review aims to investigate the efficacy of carbohydrate supplementation for endurance performance in hot environments. METHODS: Electronic databases, including PubMed, the Cochrane Library, MEDLINE, and SPORTDiscus were searched through to April 14, 2026 for studies evaluating endurance performance outcomes under heat stress in response to carbohydrate supplementation. Studies were included if the participants were healthy, aged 18-65 years, and at least recreationally active. A hot environment was defined as an ambient temperature >23 °C. Studies were required to involve an endurance-based and continuous exercise protocol lasting >30 min and a direct performance measure. This cutoff was selected based on evidence indicating glycogen stress at ~40 min under heat stress. In total, 3151 records were identified, and nine randomized, crossover studies met the inclusion criteria. Risk of bias was assessed using the Cochrane Collaboration's tool for assessing risk of bias. Primary outcomes (endurance performance and carbohydrate oxidation rates) and secondary outcomes (including gastrointestinal symptoms, thermoregulation, and hydration markers) were extracted. Mean carbohydrate intake rates were calculated, and a narrative synthesis was performed. RESULTS: Mean carbohydrate ingestion rates ranged between 14 and 140 g·h-1, and the exercise trial duration ranged between ~50 and 152 min. Carbohydrate supplementation resulted in equivocal benefits to endurance performance: five studies found significant (p < 0.05) positive effects for carbohydrates (increases of 13.4%-19.3% in time to exhaustion and 3.3%-12.7% in time trial), and four studies found no significant effects. Although nonsignificant, three studies reported average improvements of 6.7%-11.6%, which may be meaningful in elite athletes. Most studies reported no differences in the respiratory exchange ratio between trials, indicating a preferential reliance on glycogen, which is in line with the literature. Carbohydrate ingestion during exercise in the heat did not influence markers of hydration, thermoregulation, or fatigue compared with placebo. Given that prior research shows gastrointestinal symptoms is common in endurance events in hot environments, the absence of symptom investigations in seven out of nine studies reviewed has important implications for interpreting findings. Overall, the results suggest that carbohydrate intake may not reduce glycogen breakdown during endurance performance in heat. Future research should help to better understand the underlying reasons, including any moderating effects of gastrointestinal distress. CONCLUSIONS: Carbohydrate intake during endurance exercise in the heat does not consistently improve exercise performance. Athletes may focus on maintaining hydration during exercise and practice gut-training, based on the wider literature. Future studies should fill the gaps in research, namely, the measurement of gastrointestinal symptoms, the mechanisms of exogenous carbohydrate use in heat, and different modes of exercise, including running, to enable the development of robust, evidence-based recommendations.
12 May 2026
Read appraisal →Journal of medical Internet research
Characterizing Physical Activity Trajectories Preceding Incident Major Depressive Disorder Diagnosis With Consumer Wearable Devices in the All of Us Research Program: Retrospective Nested Case-Control Study
BACKGROUND: Low physical activity (PA) is a well-established risk factor for major depressive disorder (MDD). However, the temporal dynamics of PA preceding an incident clinical diagnosis of MDD remain poorly characterized, particularly using long-term, objective measures collected in real-world settings. OBJECTIVE: This study aimed to characterize trajectories of wearable-measured PA during the year preceding incident MDD diagnosis and identify the timing of within-person changes. METHODS: We conducted a retrospective nested case-control study using linked electronic health record and wearable (Fitbit) data from the All of Us Research Program. Adults with at least 6 months of valid Fitbit PA data in the 12 months preceding diagnosis were included. Incident MDD cases were identified based on a first electronic health record-recorded diagnosis and matched to MDD-free controls on age, sex, BMI, and calendar time of diagnosis, with up to 4 controls per case. Daily steps and moderate to vigorous PA (MVPA) were aggregated into monthly averages. Linear mixed-effects models were used to compare prediagnostic PA trajectories between cases and controls over a retrospective time scale from -12 to 0 months. Among cases, within-person contrasts were used to identify when PA levels first showed statistically significant deviations relative to levels observed 12 months before diagnosis. Exploratory analyses assessed heterogeneity by demographic factors. RESULTS: The analytic cohort included 4104 participants (n=829, 20.2% incident MDD cases and n=3275, 79.8% matched controls; n=3355, 81.7% women; median age 48.4, IQR 36.3-61.3 years). Compared with controls, individuals who developed MDD exhibited consistently lower overall PA and significant downward trajectories in both daily steps and MVPA during the year preceding diagnosis (global trajectory tests; P<.001 for both outcomes). Differences widened progressively over time, indicating accelerating declines as diagnosis approached. Among cases, statistically significant changes in daily step counts emerged approximately 4 months before diagnosis (-145, 95% CI -253 to -37 steps vs month -12; P=.02) and reached -428 (95% CI -531 to -326) steps at diagnosis (P<.001). Declines in MVPA emerged approximately 5 months before diagnosis (-2.48, 95% CI -4.32 to -0.64 minutes; P=.02) and reached -5.61 (95% CI -7.35 to -3.86) minutes at diagnosis (P<.001). Furthermore, exploratory analyses suggested heterogeneity in prediagnostic trajectories across demographic subgroups, including steeper declines among men, more pronounced reductions in activity intensity at older ages, and persistently lower activity levels with flatter trajectories among individuals with obesity. CONCLUSIONS: Unlike prior studies lacking objective PA assessment before MDD diagnosis, this study linked wearable and clinical data to characterize long-term prediagnostic trajectories in real-world settings. We observed sustained within-person declines emerging 4 to 5 months before diagnosis, providing insights into temporal dynamics preceding clinical recognition. These findings suggest that wearable-based monitoring may offer scalable early signals for risk stratification, prevention, and intervention for MDD.
11 May 2026
Read appraisal →Journal of physiology and biochemistry
Effects of acute, subacute, and chronic exercise on plasma s-Klotho levels: a systematic review and meta-analysis
Exercise exerts beneficial effects on multiple physiological systems, influencing biomarkers associated with aging processes and chronic diseases. This systematic review and meta-analysis aimed to evaluate the acute, subacute, and chronic effects of exercise on s-Klotho levels in healthy individuals and patients with chronic diseases. A comprehensive search was conducted in electronic databases. Included studies were randomized and non-randomized studies assessing the effects of aerobic, resistance, or combined exercise on s-Klotho levels. Interventions were classified as acute (single session), subacute (< 12 weeks), or chronic (≥ 12 weeks). Risk of bias was assessed using RoB 2 and ROBINS-I tools, and quality of evidence was evaluated with the GRADE framework. Forty-one studies were included in the qualitative synthesis, and 30 in the meta-analysis, comprising 2,765 participants (18-85 years). Twenty-five involved healthy individuals, while 21 included patients with chronic diseases. Acute and subacute aerobic exercise increased s-Klotho levels in healthy individuals (SMD 0.69; 95%CI 0.41-0.97) and diseased populations (SMD 0.62; 95%CI 0.11-1.12). Chronic exercise (12-36 weeks) showed significant increases in healthy (SMD 0.57; 95%CI 0.33-0.82) and diseased populations (SMD 1.51; 95%CI 0.87-2.16). Resistance exercise thrice weekly demonstrated the highest effect (SMD 1.60; 95%CI 0.81-2.38). Most studies had high risk of bias, with quality of evidence ranging from very low to moderate. Exercise significantly increases s-Klotho levels, with acute and subacute aerobic sessions benefiting healthy and diseased populations, while chronic resistance exercise elicited greater responses in diseased populations. Despite promising findings, low methodological quality suggests cautious interpretation.
10 May 2026
Read appraisal →Carbohydrate polymers
Multifunctional starch-based eutectogels with high mechanical properties, adhesion, self-healing, fatigue resistance and degradability for flexible wearable sensing
Flexible wearable sensors have developed rapidly due to the urgent demands for human motion monitoring. Eutectogel-based soft materials have exhibited great potential for wearable sensing applications. However, it is still a challenge to develop multifunctional eutectogels with excellent mechanical properties, adhesion, self-healing, fatigue resistance and degradability. In this work, a multifunctional starch-based eutectogel was developed by a one-pot and in-situ photo-polymerization method. The eutectogel had excellent stretchability (2710%), high strength (5.43 MPa), toughness (94.38 MJ/m3), Young's modulus (10.23 MPa), adhesion, fatigue resistance (1000 cycles), degradability and a certain degree of self-healing ability. These properties were closely correlated to the synergistic effect among the amylopectin, polyacrylic acid and choline chloride via hydrogen-bond and electrostatic interactions. The mechanical properties of eutectogel can be adjusted by changing the starch content. A wearable sensor based on the eutectogel was realized accurate and stable monitoring of human joint motions. This study addressed the limitations of the dehydration and single function of the traditional hydrogels, and provides a novel way for the development of the multifunctional bio-based gels for next-generation flexible wearable devices.
9 May 2026
Read appraisal →ChemistryOpen
Ionic Hydrogel Triboelectric Sensor for Real-Time Swimming Kinematics Monitoring and Stroke Recognition
Recently, wearable sports electronics have attracted increasing attention for their potential to enable continuous motion tracking and energy-autonomous operation in complex athletic environments. In this work, we present a flexible triboelectric nanogenerator (PAC-TENG) constructed from a PVA/Ala/CaCl2 ionic hydrogel electrode and a compliant silicone triboelectric layer. The PAC hydrogel provides high stretchability, stable ionic conductivity, and strong deformation tolerance, while the silicone surface ensures efficient and repeatable charge generation. Benefiting from this synergistic design, the PAC-TENG achieves excellent electrical outputs, including a peak voltage of 472.9 V, a short-circuit current of 37.1 µA, and a transferred charge of 104.1 nC, along with high power density under matched load. The device exhibits strong sensitivity to bending angle, applied force, and motion frequency, enabling accurate perception of human biomechanics. When mounted on swimming-related joints, the PAC-TENG can reliably monitor stroke patterns and detect abnormal motion signals, highlighting its promise for self-powered aquatic sports analytics and intelligent safety monitoring.
6 May 2026
Read appraisal →Joint diseases and related surgery
High diagnostic accuracy of a resnet50-based deep learning model for osteochondral lesions of the talus on magnetic resonance imaging
OBJECTIVES: This study aims to evaluate the diagnostic performance of a ResNet50-based convolutional neural network (CNN) in detecting osteochondral lesions of the talus (OLTs) on magnetic resonance imaging (MRI) and to compare its efficacy between T1- and T2- weighted sequences. MATERIALS AND METHODS: A total of 219 ankle MRI scans were reviewed retrospectively, including 60 with confirmed OLTs and 159 without lesions. From each study, coronal and sagittal T1- and T2-weighted images were extracted and standardized to 224 × 224 pixels. Augmentation techniques were applied to strengthen model training. Data were divided into training, validation, and test sets in a 60:20:20 split. A ResNet50 model initialized with ImageNet weights was fine-tuned using crossentropy loss with class weighting. Diagnostic performance was summarized with accuracy, precision, recall, and F1-scores. RESULTS: The model performed better on T1 sequences, achieving an accuracy of 94.1% (95% confidence interval [CI] 88.3-97.1%) and an area under the curve [AUC] of 0.93 (95% CI 0.87-0.97), with patient cases classified at 0.92 precision and 0.82 recall. Healthy controls in the T1 group were recognized with 0.95 precision and 0.98 recall. In contrast, T2 sequences were less reliable, showing an accuracy of 87.2% (95% CI 80.5-91.9%) and an AUC of 0.91 (95% CI 0.85-0.95). Precision for patient cases in the T2 group was notably lower (0.65) despite a recall of 0.81. Misclassifications were more frequent in the T2 dataset, as evidenced by the confusion matrices. CONCLUSION: Even with a relatively modest dataset, the ResNet50 model delivered strong results for T1-weighted MRI. While T2 images proved more challenging, suggesting that deep learning can add value to routine assessment of OLTs.
5 May 2026
Read appraisal →International journal of medical informatics
BackTracker: Machine learning to identify kinematic phenotypes for personalised exercise management in non-specific low back pain.
BACKGROUND: Low back pain (LBP) is a leading cause of global disability. Most cases are non-specific (NSLBP) and lack identifiable causes. Early active management is endorsed by clinical guidelines; however, exercises are rarely customised despite substantial variability in impairments. Existing classification systems can support targeted rehabilitation but require extensive clinical training and lengthy assessment procedures, limiting timely personalised care. OBJECTIVE: This study used AI methods to identify the two most common motor control impairments (MCIs)-flexion and extension patterns (FP/EP)-in NSLBP. The approach used spinal silhouettes extracted from movement videos to enable self-phenotyping and guide personalised exercise selection. METHODS: Data were collected from a research fellowship involving ninety NSLBP participants classified by an expert physiotherapist (LS) into FP or EP MCIs. Participants performed standard forward- and backward-bend tasks recorded in the sagittal plane. Pose estimation and instance segmentation techniques were applied to extract motion features and spine silhouettes. From each participant, a curated set of 80 black-and-white back images captured at specific bending angles was produced. These features were used to train a feedforward neural network. Model performance was assessed using five-fold cross-validation with accuracy, sensitivity, specificity, F1 score and AUC. RESULTS: The model achieved a diagnostic accuracy of 91.91% (95% CI 84.8-99.1) for backward-bend videos, exceeding reported inter-examiner agreement rates for trained physiotherapists. Robustness was supported by a mean AUC of 0.9422. Accuracy was lower for forward-bend images (86.69%), combined tasks (86.29%), or PROMs alone (63.82%). Adding PROMs to forward- or backward-bend tasks provided only modest improvements (66.32% and 71.62%, respectively). CONCLUSION: The model reliably distinguished between FP and EP NSLBP subgroups, demonstrating the potential of AI to support timely personalised rehabilitation. The integration of PROMs with motion features reduced classification accuracy, suggesting that self-reported outcomes may provide limited benefit when tailoring exercises to specific physical impairments.
5 May 2026
Read appraisal →Analytical methods : advancing methods and applications
Beyond identification: inferring physical activity from fingerprint lipids using machine learning.
Fingerprints are a widely recognized form of forensic evidence, valued for their ability to link individuals with specific locations. Traditional fingerprint analysis relies on optical imaging to identify a match in a fingerprint database; however, where no match is found, the evidential value of a latent print is limited. Here, we present the first study to integrate matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) with supervised machine learning to infer physical activity from fingerprint chemistry, expanding the utility of fingerprints beyond identification alone. Physical activity labels were derived from a validated questionnaire and converted into binary classes. Supervised machine learning algorithms were trained on the lipid features and evaluated against the survey-derived labels. The top-performing models were an ensemble algorithm based on multiple decision trees and a neural network, which classified physical activity with accuracies of 75 ± 8% and 73 ± 7%, respectively. These results demonstrate that fingerprint lipid chemistry encodes biologically meaningful information related to physical activity and establish a new approach for extracting lifestyle and behavioral indicators from trace evidence, with potential applications in forensic investigations and noninvasive fingerprint-based assessments in medicine.
4 May 2026
Read appraisal →Journal of medical imaging and radiation sciences
Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning
INTRODUCTION: Accurate prescription of oblique coronal and oblique sagittal field of views (FOV) is essential for diagnostic shoulder MRI. Manual planning is radiographer-dependent, time-consuming, and subject to inter- and intra-operator variability, leading to inconsistent image quality and incomplete coverage. Although deep learning (DL) has advanced automated scan planning in non-oblique planes, oblique shoulder prescriptions remain underexplored; an automated DL approach could standardize FOV prescription, reduce operator dependence, and improve reproducibility and workflow without compromising diagnostic quality. METHODS: In this retrospective multicenter study, 575 shoulder MRI examinations (2019-2025) from four sites were included. Sites A (n=151) and B (n=220) were used for training; testing was performed on sites C (n=61), and D (n=143). A two-stage pipeline was implemented using five oriented bounding box (OBB) variants of YOLOv11 (n, s, m, l, x): Stage 1 performed slice selection; Stage 2 performed FOV prescription. Performance was evaluated against radiographers' prescriptions using mean absolute slice difference (MASD, slices), intersection over union (IoU), and mean absolute angle difference (MAAD, degrees). Clinical utility was assessed by three raters. RESULTS: The YOLOv11-OBB-l model achieved the lowest MASD for Stage 1 (1.016±0.153 slices). For Stage 2, YOLOv11-OBB-x performed best (coronal IoU, 0.847±0.003; sagittal IoU, 0.852±0.007; MAAD, 3.259±0.190°). During testing across each site, MASD ranged from 0.700±0.837 to 1.192±2.550 slices; MAAD from 2.811±2.348 to 4.396±7.158°; coronal IoU from 0.800±0.092 to 0.872±0.065; and sagittal IoU from 0.824±0.111 to 0.887±0.047. Mean clinical utility was 97.2%. Performance was noninferior to interrater variability across all sites and metrics. CONCLUSION: DL-based automated FOV prescription for shoulder MRI achieves performance comparable to radiographers, generalizes across institutions, and demonstrates high clinical utility.
4 May 2026
Read appraisal →NMR in biomedicine
Deep Learning Reconstruction Enables Diagnostic-Quality 0.4T Knee and Spine MRI in One-Third of the Time
There has been a growing interest in low-field MRI due to its lower costs, enabling an increase in accessibility of MRI worldwide. Long scan times are currently needed to obtain high-quality images. The aim of our study was to accelerate low-field 0.4T musculoskeletal MRI using deep learning and evaluate maximum acceleration via assessment by two expert radiologists. A cascades of independently recurrent inference machines (CIRIM) model was trained using knee and spine 2D multislice scans, retrospectively undersampled in k-space. The heterogeneous dataset included varied contrasts, orientations, and matrix sizes. To determine the maximum possible acceleration factor, the undersampling pattern and loss function of the CIRIM were optimized using the knee dataset. Models were trained for acceleration factors 1.5-4. The different acceleration factors were evaluated quantitatively and clinically, with radiologist scores compared using Kendall's Tau and Cohen's Kappa. To assess the model's generalizability, two prospectively undersampled scans were evaluated, and the knee-trained models were tested on spine data. CIRIM accurately reconstructed all data, with slight metric degradation at higher accelerations. Combining L1, structural similarity index measure (SSIM), and perceptual loss improved sharpness, while undersampling pattern differences were minimal. Clinical scores from both radiologists declined with acceleration, reflected in Kendall's Tau values of 0.64, 0.64, 0.54, and 0.55 for image quality, sharpness, anatomical conspicuity, and artifacts. Inter-observer agreement was low (Cohen's kappa: 0.227-0.299). The model generalized well, reconstructing spine data with a knee-trained model at comparable quality and successfully handling prospectively undersampled scans. CIRIM consistently delivered high-quality reconstructions, demonstrating excellent robustness to variations in contrast, orientation, matrix size, and anatomy. Its ability to generalize across anatomies and handle prospectively undersampled scans highlights its practical utility. The differences in reading for higher accelerations between radiologists suggest that the optimal acceleration factor is context-dependent and should be tailored to the specific diagnostic task.
4 May 2026
Read appraisal →Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Synthetic computed tomography from magnetic resonance imaging: An editorial on deep learning approaches for hip and knee image translation.
This editorial provides a concise overview of synthetic computed tomography (CT) generation from magnetic resonance imaging (MRI) for musculoskeletal care, with a focus on hip and knee applications. We outline why interest in this area is growing, including the potential to reduce radiation exposure, consolidate imaging into a single visit, and align measurements across modalities for preoperative planning and longitudinal follow-up. At a high level, we summarize how deep learning methods transform MRI into CT-like volumes and what that could mean for bone morphology, implant planning, and combined assessment of bone and soft tissue. We briefly introduce representative model classes, including conditional generative adversarial networks that pair realism objectives with voxelwise constraints and diffusion models that replace adversarial training with iterative denoising for stable optimization and strong anatomical fidelity. Our goal is to orient clinicians, engineers, and researchers to the key promises and open questions, and to motivate collaborative studies that test whether synthetic CT can deliver reliable, reproducible, and clinically useful information at the point of care.
4 May 2026
Read appraisal →Sports health
Evaluation of Exertional Sweat Loss Estimates in Wearable Technology
BACKGROUND: Wearable technology shows promise for monitoring exertional sweat loss, yet its accuracy requires evaluation. This study evaluated the accuracy of 2 commercially available smartwatches for estimating sweat loss compared with gold standard methods. HYPOTHESIS: Sweat loss values measured via wearable technology will be determined accurate compared with gold standard methods. STUDY DESIGN: Cross-sectional. LEVEL OF EVIDENCE: Level 2. METHODS: A total of 111 participants (age, 40 ± 14 years; height, 171.0 ± 8.9 cm; body mass, 70.8 ± 14.7 kg; VO2max, 46.8 ± 8.7 ml/kg/min) completed up to 4 running trials under varying conditions (indoor/outdoor, distances from 2.5 km to 20 km, and interval runs). Sweat loss estimates from each smartwatch were compared with criterion measurements based on change in nude body mass pre- and postexercise. Validity statistics included tests for error (mean absolute error [MAE], mean absolute percentage error [MAPE]), linearity (Lin's concordance correlation coefficient [CCC], Pearson's [r], and Deming regression), equivalence (CI for difference in means), and Bland-Altman plots for bias assessment. Stratified analyses by sex, weight, and fitness category were also completed, along with a chi-square test of independence. RESULTS: Both devices demonstrated acceptable overall correlation (CCC range, 0.71 to 0.90) but substantial errors in estimating exertional sweat loss (MAPE range, 25.38% to 33.21%). Stratified analyses yielded similar results, with no additional analyses meeting the combined validity thresholds. CONCLUSION: Wearable devices offer a promising and convenient tool for general sweat loss tracking but lack the precision to replace laboratory methods for hydration management. Traditional methods remain essential for the most accurate measurements. CLINICAL RELEVANCE: Wearable devices provide an accessible option for sweat loss monitoring. This study highlights their potential for general tracking while emphasizing the need for laboratory methods when accuracy is critical, ensuring better guidance for hydration strategies in sports performance and health applications.
4 May 2026
Read appraisal →Behavioural brain research
Non-pharmacotherapy for craving in methamphetamine use disorder: A systematic review and network meta-analysis of randomised controlled trials
OBJECTIVES: We evaluated the effects of non-pharmacotherapy on quality of life (QOL) and craving in individuals with methamphetamine use disorder (MUD), ranking the efficacy of various protocols. METHODS: We searched multiple databases for randomized controlled trials from inception to Dec 2025. The analysis included 53 studies with 3174 participants, investigating interventions such as exercise, transcranial magnetic stimulation (TMS), transcranial direct current stimulation, behavioral therapy, and acupuncture. The protocol was prospectively registered in PROSPERO (CRD42023443291). RESULTS: For craving reduction, both exercise and TMS demonstrated statistically significant benefits compared to conventional rehabilitation. Combined aerobic/resistance exercise and 10 Hz repetitive TMS targeting the left dorsolateral prefrontal cortex emerged as the most effective specific protocols within their respective categories. Furthermore, preliminary evidence from a limited number of studies indicated that exercise, acupuncture, and behavioral therapy improved patients' QOL. CONCLUSION: This study confirms that several non-pharmacotherapies are effective for managing craving in MUD. Exercise and TMS are particularly promising for reducing craving. The findings, synthesized within a novel "Intervention-Circuit-Symptom" integrative framework, provide a robust evidence base to inform clinical decision-making and guide the future development of MUD treatment guidelines.
1 May 2026
Read appraisal →PloS one
Short-duration phase-change material cryotherapy selectively enhances early neuromuscular and perceptual recovery.
The purpose of this study was to examine whether short-duration phase-change material cooling (PCM) applied at different temperatures influences acute recovery following fatigue induced by stretch-shortening cycle exercise (SSC). Sixty-four physically active participants were randomly assigned to 5°C, 10°C, or 15°C PCM cryotherapy group or a passive recovery control group. After completing a SSC fatigue protocol, participants underwent a 15-minute PCM intervention, and peak torque (PT), mean power, rate of force development (RFD), countermovement jump (CMJ) performance, Rating of perceived exertion (RPE), modified endurance ratio (MER), vastus lateralis (VL) and Rectus Femoris (RF) stiffness were assessed immediately after fatigue (Imm-fatigue), immediately after PCM cryotherapy (Imm-PCM), and 60 minutes post PCM cryotherapy (Post60-PCM). Mean power and RFD were significantly greater in PCM groups compared with the control group at Imm-PCM (P ≤ 0.01), with mean power remaining elevated in the 15°C PCM group at post-60-PCM (P ≤ 0.05). RPE was significantly lower in all PCM groups at Imm-PCM and post60-PCM compared with control (P ≤ 0.01). No between-group differences were observed for PT, CMJ, MER, or muscle stiffness, and no temperature-dependent effects were detected within the 5-15 °C. These findings indicate that 15-minute PCM cryotherapy selectively accelerates early-phase neuromuscular and perceptual recovery without affecting maximal strength, endurance capacity, or passive muscle mechanical properties. From an applied perspective, PCM cryotherapy may be an effective strategy to enhance explosive performance and perceived readiness during short recovery intervals in training or competition settings.
27 Apr 2026
Read appraisal →ACS sensors
A Temperature-Pressure Dual-Mode Flexible Patch Sensor with Temperature Compensation and Pressure Decoupling Functions for Pulse Detection and Recognition
Accurate and continuous detection of human pulse waves is critical for long-term health monitoring and physiological assessment during physical activity. However, most conventional flexible pulse sensors are single-mode, making them susceptible to interference from both ambient and physiological temperature fluctuations. Developing integrated dual-mode sensors remains challenging due to the difficulty in effectively decoupling pressure and temperature signals. Herein, we report a dual-mode flexible patch sensor featuring a unique "compass-like" structural design. The sensor demonstrates a broad pressure detection range (50 Pa-200 kPa) and rapid response/recovery times (60/96 ms), while its integrated temperature-sensing unit achieves a high resolution of 0.1 °C. Through unique structural design, the sensor achieves robust pressure decoupling of the temperature signal, with resistance fluctuations of only 0.102% under pressures up to 30 kPa. This independent temperature signal is subsequently utilized as a reference for the real-time temperature compensation of the pressure signal. The compensated pressure signal exhibits minimal temperature drift (41 × 10-6 °C-1 across 5-45 °C), enabling stable, interference-resistant monitoring of radial artery pulse waves under dynamic thermal conditions. Furthermore, when integrated with a ResNet-based deep learning model, the sensor successfully classifies diverse pulse signals with an accuracy of 97.6%. This research provides an effective solution for interference-resistant wearable electronics, offering significant potential for intelligent disease diagnosis and sports health management.
27 Apr 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Effects of nutritional interventions on competitive performance and dose‒response relationships among esports players of different skill levels: a systematic review and three-level meta-analysis
BACKGROUND AND OBJECTIVES: Esports place exceptional demands on neuropsychological capacities; however, a systematic and quantitative synthesis of the specific efficacy of nutritional interventions across various tasks and competitive populations remains absent. This study aims to evaluate the impact of nutritional supplementation on cognitive function and competitive performance in esports players and to explore key moderating variables. METHODS: Electronic databases, including Web of Science, PubMed, and Scopus, were searched (up to January 25, 2026). Thirteen randomized controlled trials (RCTs) met the inclusion criteria. A three-level random-effects model was employed to calculate the pooled effect size (Hedges' g), with sources of heterogeneity explored through subgroup analyses and meta-regression. RESULTS: Nutritional interventions significantly enhanced esports-related performance (g = 0.92), with the most pronounced benefits observed in processing speed (g = 1.18) and executive function (g = 1.06). Subgroup analyses revealed significant gains in both professional (g = 0.97) and amateur groups (g = 0.92), while the improvement in first-person shooter (FPS) games (g = 0.96) appeared to surpass that in multiplayer online battle athlete (MOBA) games. Meta-regression indicated no significant linear correlation between caffeine dosage and effect size. GRADE assessment categorized the quality of evidence mostly as "low" to "moderate." CONCLUSIONS: Nutritional interventions demonstrate significant potential for optimizing multidimensional cognitive performance in esports players, particularly in enhancing fundamental reaction speed and high-level decision-making processes. While the findings exhibit a degree of robustness, their practical application should be cautiously evaluated within specific competitive contexts due to current limitations in evidence certainty and significant interstudy heterogeneity. Future research characterized by gender balance and mechanistic orientation with long-term intervention protocols is warranted to elevate the level of clinical evidence.
27 Apr 2026
Read appraisal →ACS sensors
Self-Correction of pH-Induced Signal Variations in Methylene Blue-Labeled Aptamer Electrochemical Biosensors: Wearable Cortisol Detection in Sweat
Common electrochemical aptamer-based (E-AB) biosensors employing methylene blue (MB) redox reporters suffer from significant pH-induced signal variations. Consequently, dynamic pH fluctuations in biofluids, such as in sweat, can greatly distort the measured signal and lead to inaccurate target quantification. Here, we introduce a self-correction strategy that enables accurate analyte quantification by compensating for pH-induced signal variations in MB-based aptasensors using the Nernstian shift of the MB peak potential. The highly reproducible reversible pH dependence of the MB peak potential enables real-time monitoring of the sample pH that provides a continuously synchronized built-in compensation of the pH interference, thereby eliminating the need for external pH sensors or additional measurement steps. This precise yet simple and effective self-correction of pH effects ensures that the Square Wave Voltammetry (SWV) signal reliably reflects real-time analyte variations, as demonstrated using a cortisol MB-labeled E-AB biosensor in both in vitro and on-body settings. In vitro measurements in artificial sweat across pH 5.5-7.5 showed excellent correlation with real-time pH and cortisol changes, confirming the reliability of the peak potential-based correction. On-body measurements using an epidermal wearable patch showed cortisol changes in sweat that would have been missed without this signal-correction method. This approach is broadly applicable to other MB-labeled E-AB biosensors and biofluids, providing a robust strategy for continuous on-body monitoring.
26 Apr 2026
Read appraisal →ACS sensors
All-in-One Wearable Hydrogel Patch for Multimodal Visualized and Quantitative Heatstroke Monitoring
Heat-related illnesses, particularly heatstroke, pose serious risks to outdoor workers, athletes, and individuals with impaired thermoregulation. Existing monitoring strategies are limited by invasive measurements, reliance on external power sources, and lack of real-time multimodal feedback. Here, this study presents an all-in-one wearable patch that integrates a dual-functional self-powered thermogalvanic hydrogel with a selective electrochemical interface for intuitive visual feedback, dynamic temperature tracking, and durable sweat analysis. The hydrogel enables real-time thermochromic visualization and active thermoelectric sensing of body temperature, while an integrated electrochemical module allows continuous and selective detection of Na+ and K+ ions in sweat. The multiplexed physical-chemical health-monitoring patch provides a multimodal dual-stage evaluation of body temperature and sweat ion level toward improving metabolic status control and alerting individual to heatstroke risk, holding promise for developing personalized healthcare and a scalable route to proactive heatstroke prevention.
26 Apr 2026
Read appraisal →Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
Academic Influence and Industry Funding in Platelet-Rich Plasma Injections: Coauthorship Network Analysis
BACKGROUND: Platelet-rich plasma (PRP) injections have gained popularity in the fields of orthopaedics and sports medicine despite inconsistent evidence regarding clinical efficacy. Concerns have placed a role on industry funding in shaping the development of PRP injection literature. Therefore, the aim of this study is to investigate the relationship between industry funding and academic influence in PRP injection research. METHODS: A systematic review was done of PRP injection literature published between 2017 and 2024, all from Q1 (top quartile) peer-reviewed journals based on Scopus journal ranking metrics. Overall, 81 studies were included in final analysis. Authors were linked to the Open Payments Database (OPD) and were identified through their national provider identifier (NPI) number. A coauthorship network analysis was used to map patterns of collaboration among authors in the field. RESULTS: The majority of studies identified were randomized control trials (38.3%). From 2017 to 2024, total industry funding to PRP authors totaled $36.1 million. Markedly more general payments than research payments were there (P < 0.05). Funding did not markedly correlate with publication count (r = 0.368, P = 0.40). No notable association was found between funding type and study outcome for either general (P = 0.482) or research (P = 0.481) payments. A centralized structure of 621 unique authors revealed that the top 10% of contributors accounted for more than 40% of all betweenness activity among these authors. CONCLUSION: The majority of industry funding in PRP injection research is directed as general payments. A small cohort of authors hold disproportionate influence over the community.
26 Apr 2026
Read appraisal →The Journal of clinical endocrinology and metabolism
Pharmacological interventions to improve bone density in functional hypothalamic amenorrhea: a systematic review and network meta-analysis of randomized clinical trials
CONTEXT: Women with functional hypothalamic amenorrhea (FHA) are at high risk of poor bone health. When lifestyle measures fail to restore menses, pharmacological interventions are needed for bone health, but comparative efficacy remains unclear. OBJECTIVE: To compare the efficacy of available pharmacological interventions to improve bone mineral density (BMD), in women with FHA, employing network meta-analysis (NMA). DATA SOURCES: Medline, Embase, Emcare, Cochrane CENTRAL, ISRCTN, and ClinicalTrials.gov were searched up to 20 September 2025. STUDY SELECTION: Eligible randomized-controlled trials evaluated pharmacological interventions for lumbar spine (LS), femoral neck (FN), or total hip (TH) BMD in women with FHA. Two independent reviewers screened titles, abstracts, and texts. DATA EXTRACTION: Two reviewers independently extracted data following the Preferred Reporting Items for Systematic Reviews-network meta-analysis guidelines. Outcomes were expressed as standardized mean differences (SMDs) with 95% confidence intervals (CIs) using random-effects NMA. Evidence certainty was assessed with CINeMA. DATA SYNTHESIS & RESULTS: Thirteen randomized-controlled trials (n = 897 participant observations across all pharmacotherapy comparisons) were included (LS BMD: n = 897; FN BMD: n = 370; TH BMD: n = 750). Transdermal hormone replacement therapy (HRT) was superior to control (placebo or no intervention) for LS BMD with SMD: 0.34 (0.03, 0.64) and FN BMD with SMD: 0.57 (0.04, 1.10). Oral HRT and the combined oral contraceptive pill (COCP) showed no significant benefit for any BMD site. Teriparatide was superior to transdermal HRT and COCP for LS BMD with SMDs: 1.48 (0.38, 2.59) and 1.75 (0.66, 2.83), but not FN or TH BMD. CONCLUSIONS: Transdermal HRT and teriparatide improve LS BMD in women with FHA, with transdermal HRT also improving FN BMD. STUDY REGISTRATION: PROSPERO (CRD42024576872).
25 Apr 2026
Read appraisal →Annals of medicine
Artificial intelligence and wearable sensors in sports injury risk prediction: current status and future perspectives.
BACKGROUND: Artificial intelligence (AI) and wearable sensors are increasingly reshaping sports injury risk prediction by enabling continuous, individualized, and data-driven assessment. DISCUSSION: This review summarizes recent advances in wearable technologies - including inertial measurement units (IMUs), electromyography (EMG), physiological monitors, and flexible electronics - and their use in capturing biomechanical, physiological, and psycho-physiological indicators relevant to injury risk. Deep learning (DL) models, particularly those capable of temporal and multimodal fusion, have shown promise in predicting injuries such as anterior cruciate ligament (ACL) tears, muscle fatigue, and stress fractures. Through representative applications and mechanism-informed analysis, we highlight the growing role of interpretable AI, real-time feedback, and behavior-integrated predictive systems. CONCLUSIONS: Key challenges remain, including data heterogeneity, limited generalizability, compliance issues, and privacy concerns. Future directions point toward personalized modeling, explainable systems, federated learning, and digital twin frameworks. Together, these advancements mark a shift toward proactive, intelligent injury prevention across athletic and clinical settings.
24 Apr 2026
Read appraisal →European journal of preventive cardiology
Aerobic exercise and cardiovascular outcomes in patients with diabetes undergoing percutaneous coronary intervention: a nationwide population-based study
AIMS: We investigated the impact of aerobic exercise on clinical outcomes in patients with diabetes undergoing percutaneous coronary intervention (PCI). METHODS AND RESULTS: We analyzed a nationwide prospective population database from the Korean National Health Insurance System. We included 8225 patients with diabetes who had undergone PCI and documented their aerobic exercise habits before and after the procedure (mean interval: 2.0 years). The patients were categorized into four groups: persistent non-exercisers, new exercisers, exercise discontinuers, and exercise maintainers. The primary outcome was major adverse cardiovascular events (MACE), a composite of all-cause death, myocardial infarction, revascularization, and heart failure. We assessed the risk of clinical events using inverse probability-weighted Cox proportional hazards models. During a mean follow-up of 4.9 years, exercise maintainers, discontinuers, and new exercisers were associated with a significantly lower risk of MACE compared to non-exercisers. The lowest risk was observed in exercise maintainers (maintainers: aHR, 0.78; 95% CI: 0.71-0.86; discontinuers: aHR, 0.88; 95% CI: 0.79-0.98; new exercisers: aHR, 0.89; 95% CI: 0.80-1.00). A J-curve relationship between the amount of aerobic exercise and adverse clinical outcomes was observed, with the lowest risk identified at 1000-1499 MET-min/week. Benefits diminished with exercise intensity ≥1500 MET-min/week. CONCLUSION: Aerobic exercise maintenance after PCI was associated with a reduced risk of cardiovascular events in patients with diabetes, with a moderate amount of exercise providing maximal benefit. Therefore, aerobic exercise is advisable for patients with diabetes undergoing PCI, and the optimal exercise dosage warrants further research. LAY SUMMARY: This large-scale prospective population study, based on the Korean National Health Insurance System, demonstrated that maintaining aerobic exercise in patients with diabetes undergoing percutaneous coronary intervention is significantly associated with a lower risk of cardiovascular events.A J-curve relationship was observed between the amount of aerobic exercise and clinical outcomes, with the lowest risk observed at 1000-1499 MET-min/week for both new exercisers and the entire study population.However, exercising beyond 1500 MET-min/week offers diminishing returns, highlighting the need for balanced exercise intensity.
24 Apr 2026
Read appraisal →European journal of preventive cardiology
A comprehensive analysis of the impact of high-intensity interval vs. moderate-intensity continuous training on global and regional myocardial function in patients early after acute myocardial infarction: the STRAICT randomized controlled trial
AIMS: This study aims to compare the effect of moderate-intensity continuous training (MICT) vs. isovolumic high-intensity interval training (HIIT) on left ventricular (LV) myocardial function early post-acute myocardial infarction (AMI). Training-induced changes were analysed at both global and segmental levels using advanced deformation echocardiographic imaging techniques. METHODS AND RESULTS: One hundred AMI patients were randomly assigned to participate in an 8-week training programme comprising either MICT (n = 50) or isovolumic HIIT (n = 50), starting within 6 weeks post-AMI. Before and after cardiac rehabilitation (CR), we carried out a comprehensive and detailed evaluation of myocardial function, including measurements of LV longitudinal strain (LS) and circumferential strain and torsional mechanics, LV myocardial work (MW) and mechanical dispersion [post-systolic shortenings (PSS)] indexes, and atrial strains. Mixed models were used to evaluate the effect of MICT and HIIT on speckle-tracking echocardiography parameter. Both MICT and HIIT resulted in a similar improvement in the amplitude and timing of LV LS (time effect P < 0.001 in each case), as depicted by the comparable increase in global LS [HIIT: -0.82%, 95% confidence interval (CI): -0.19/-61; MICT: -1.11%, 95% CI: -1.17/-0.51; time ∗ group P = 0.71], MW index and efficiency, constructive MW, and reduction in the number of PSS and wasted MW (time ∗ group P > 0.12 in each case) in the two groups. These improvements were observed in all myocardial territories, regardless of previous ischaemic risk status (culprit vessel-by-time-by-group interactions, P > 0.60 in each case). Circumferential strains remained unchanged in both groups while there was a trend (time ∗ group P = 0.04) for LV torsion to decrease for MICT (P = 0.06) and increase for HIIT (P = 0.36) after CR. Left atrial strains during the reservoir and conduit phases improved (time effect P < 0.05) similarly in MICT vs. HIIT (time ∗ group P > 0.54). V̇O2peak (P < 0.001) and quality of life (P < 0.001) improved equally in MICT and HIIT after CR. CONCLUSION: Early supervised exercise-based CR, whether using MICT or isovolumic HIIT, improves longitudinal myocardial function in both culprit and non-culprit territories after AMI. Exercise-based cardiac rehabilitation (CR) is an effective strategy for reducing cardiovascular morbidity and mortality in patients after a myocardial infarction (MI). While moderate-intensity continuous training (MICT) has been the traditional form of aerobic exercise in CR, high-intensity interval training (HIIT) is gaining popularity due to its demonstrated feasibility, safety, and potential superiority in improving physical fitness. The impact of CR on heart function after MI is not well understood. It is still unclear whether HIIT is more effective than MICT for improving heart function. This uncertainty is due to limitations in previous studies, such as differences in total workload realized, which is an important factor in CR. It is also unclear whether different types of exercise training have different effects on parts of the heart that were damaged due to reduced blood flow during the heart attack compared with the areas that were not affected. This study aims to fill these gaps by comparing HIIT and equal-volume MICT using advanced echocardiographic imaging techniques to evaluate overall and regional heart function, focusing on both affected and unaffected areas of the heart. We found thatExercise-based CR initiated early after the heart attack effectively improves cardiac function, with HIIT as effective as isovolumic MICT.These improvements were observed equally with both MICT and HIIT across all areas of the heart, confirming its ability to functionally recover even in regions previously impacted by reduced blood flow.
24 Apr 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Soccer pass performance following caffeine intake with deliberate or maintenance practice
BACKGROUND: The impact of caffeine on strength and endurance performance is well acknowledged, yet its influence on skill performance remains contentious. A potential scenario in which caffeine augments the efficacy of practice could be useful for sports brokers who diligently pursue every nuance to enhance performance. Therefore, the primary objective of this study was to examine the impact of 3 mg·kg-1 of caffeinated coffee intake combined with deliberate (DP) or maintenance practice (MP) on passing performance in adolescent football players. The study also discusses how DP and MP affect passing accuracy without considering caffeine or placebo conditions, as well as how athletes perceive DP and MP and whether caffeine supplementation influences these perceptions. METHODS: Fourteen adolescent male football players (14.07 ± 0.26 years; 174.28 ± 3.12 cm; 57.21 ± 8.40 kg) participated in a double-blind, randomized, counterbalanced, and crossover research design. For the experimental protocols, each participant visited an artificial turf pitch on four occasions, separated by 48 h. They received 3 mg·kg-1 of caffeine sourced from coffee with DP (1), caffeinated coffee intake with MP (2), decaffeinated coffee with DP (3), and decaffeinated coffee with MP (4). Upon concluding the practice regimes, the athletes promptly expressed their evaluations of the practice on a scale of 1-10. The Loughborough Soccer Passing Test (LSPT), the One-Touch Passing Test (OTPT), and the Long Passing Test (LPT) were administered to evaluate participants' passing proficiency at both the beginning and end of each session. RESULTS: There was no difference in LSPT, OTPT, or LPT values following caffeine (CAF) and placebo (PLA) supplementation after DP or MP. Regardless of CAF-PLA conditions, although both practices improve the LSPT original time, penalty time, and performance time, only MP increases the LPT score (21.9%; p = 0.03). Caffeine also has no additional modifier effect on practice perceptions. DP is considered more mentally challenging than MP (4.18 ± 2.3 & 1.9 ± 1.2; p > 0.05), but both practices are similar in terms of relevancy, enjoyment, and physicality. CONCLUSION: 3 mg·kg-1 of caffeinated coffee has no additional effects on DP or MP for passing performance. Regardless of CAF or PLA intake, both practices improve short-term passing, yet only MP appears effective for enhancing long-term passing in players with average technical ability. Accordingly, coaches may consider incorporating these strategies into pre-match warm-ups or structured training programs. Moreover, CAF did not influence players' perceptions of the training sessions, particularly when physical demand was minimal. Similarly, when comparing DP and MP, athletes reported similar perceptions, suggesting that the practical application of DP in field-based settings may diverge from its original theoretical framework. Further research needs to clarify how DP principles are implemented and perceived in real-world practice.
23 Apr 2026
Read appraisal →The Analyst
Recent progress in wearable electrochemical sensors based on MXene-conductive hydrogels
MXene-based conductive hydrogels (MCHs) have emerged as highly promising materials for next-generation wearable electrochemical sensors, owing to their exceptional electrical conductivity, mechanical flexibility, and biocompatibility. This review provides a comprehensive and up-to-date overview of recent advances in the development of wearable sensors that incorporate Ti3C2Tx MXene hydrogels for the detection of a wide range of analytes in various biofluids. Diverse hydrogel matrices have been integrated with MXenes to fabricate highly sensitive platforms capable of monitoring key biomarkers such as glucose, dopamine, uric acid, lactate, norepinephrine, sodium, creatinine, and pH. These sensors have been successfully deployed at various locations in the body, including the forearm, chest, wrist, and head, using flexible formats such as skin patches, microfluidic devices, pantyliners, wearable caps, and attachable body accessories. Notably, several configurations demonstrate ultralow detection limits, reaching the nanomolar level, enabling real-time, noninvasive analysis of sweat, urine, and other physiological fluids. The wide range of functional additives and customizable design approaches underscores the modularity and tunability of MCH-based systems for specific applications. This review critically evaluates the design principles, sensing mechanisms, performance metrics, and practical limitations of current MCH-based wearable platforms, providing insights that can guide future innovations in smart wearable healthcare technologies.
23 Apr 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Effects of eight weeks of eicosapentaenoic acid and medium-chain triacylglycerol structured lipid intake on EPA/AA ratio and muscle performance in young men
BACKGROUND: Structured triglycerides (STGs), in which eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) are esterified with medium-chain triglycerides (MCTs), have demonstrated greater bioavailability and potential benefits in improving endurance and reducing post-exercise strength loss compared with physical mixtures (PMs) of EPA and MCTs. However, it remains unclear whether STGs have superior effects on blood EPA levels and muscular endurance and fatigue. This study compared the effects of 8-week STG and PM intake on blood EPA levels, muscular endurance, and fatigue following resistance exercise. METHODS: Twenty-eight healthy young men were randomly assigned to an STG group (n = 15) or a PM group (n = 13) in a double-blind, parallel-group, active comparator trial. Participants consumed 4,560 mg/day of the test oil (600 mg EPA, 260 mg DHA) for 8 weeks. After the intervention, the participants performed four sets of leg extensions to exhaustion at 40% of their body weight. Muscular endurance was assessed by the number of repetitions, and fatigue was evaluated by changes in maximal voluntary contraction, range of motion, thigh circumference, muscle thickness, echo intensity, and jump performance. RESULTS: The STG group showed a significantly greater increase in the serum EPA/arachidonic acid (AA) ratio compared with the PM group. However, no significant differences were found between groups in repetition counts or fatigue-related measures. CONCLUSION: Eight weeks of STG supplementation improved the blood EPA/AA ratio more than a PM, but did not yield superior effects on muscle endurance or fatigue.
18 Apr 2026
Read appraisal →Medical science monitor : international medical journal of experimental and clinical research
Effects of Abdominal Bracing Versus Abdominal Hollowing on Abdominal Muscle Thickness and Activation During Static and Dynamic Trunk Stabilization Tasks in Healthy Adults
BACKGROUND Abdominal hollowing selectively targets deep abdominal muscles, whereas abdominal bracing emphasizes global activation of the superficial musculature. This study aimed to compare the effects of abdominal bracing and abdominal hollowing on abdominal muscle thickness and activation during trunk stabilization tasks in healthy adults. MATERIAL AND METHODS Eighteen healthy adults (9 males, 9 females) participated in a randomized crossover study. Abdominal bracing and hollowing were performed in random order with a 1-week wash-out period. Muscle thickness of the rectus abdominis (RA), external oblique (EO), internal oblique (IO), and transversus abdominis (TrA) were measured using ultrasound imaging. Surface electromyography assessed activation of the RA, EO, and IO during a static hook-lying position and a dynamic supine toe-tap task. RESULTS RA thickness was greater during bracing than hollowing (10.07±1.55 mm vs 9.22±1.46 mm, p=0.032), whereas IO and TrA thicknesses were greater during hollowing (IO: 8.65±3.18 mm vs 6.63±2.14 mm; TrA: 4.08±1.23 mm vs 2.41±0.80 mm, both p<0.05), representing an approximately 31% increase in TrA thickness. During the static task, activation of the RA, EO, and IO was higher during hollowing (p<0.05), whereas no significant differences were observed during the dynamic task. CONCLUSIONS Abdominal hollowing preferentially enhances deep muscle activation during low-load static conditions, whereas abdominal bracing promotes global muscular engagement. With increasing task demands, stabilization strategies converge, indicating task-dependent neuromuscular coordination.
18 Apr 2026
Read appraisal →Carbohydrate polymers
Multifunctional conductive hydrogel based on carboxymethyl cellulose/oxidized sodium alginate for machine learning-guided sports training
Multifunctional hydrogels have shown great promise in advanced wearable sensing technologies; however, their performance under real-world sweaty and dynamic conditions remains a significant challenge. In this study, a highly conductive and adhesive hydrogel was developed using poly(AM-co-AA), carboxymethyl cellulose (CMC), oxidized sodium alginate (OSA), and polydopamine-modified carbon nanotubes (PDA-CNT). Featuring a dual dynamic cross-linking system based on reversible Schiff base bonds and strong hydrogen bonding, the hydrogel demonstrates high mechanical toughness (2416 kJ/m3), excellent stretchability (1829%), and stable electrical conductivity (1.5 S/m). It exhibits outstanding sweat resistance, maintaining strong adhesion and reliable sensing performance even during intense physical activities, along with high fatigue resistance over 10,000 deformation cycles, enabling long-term reliable monitoring. As a highly sensitive strain sensor, it offers multi-range gauge factors (up to 2.53) and accurately captures human motion and physiological signals without interference from sweat or motion artifacts. When integrated with machine learning algorithms, the sensor achieves a validation accuracy of 98.75%, providing real-time feedback on movement techniques and supporting personalized training optimization. Furthermore, the hydrogel demonstrates significant antibacterial properties and good biocompatibility, making it an ideal candidate for next-generation wearable electronic devices suited for long-term athletic training and high-sweat environments.
17 Apr 2026
Read appraisal →Theory in biosciences = Theorie in den Biowissenschaften
Analytical and AINN-based investigation of surface wave propagation in dry long bones with initial stress, magnetic field, and rotation effects
This study presents a comprehensive analytical and artificial intelligence neural network (AINN)-based investigation of wave propagation in dry long bones, modeled as an orthotropic hollow cylindrical structure. The proposed model incorporates the combined effects of initial stress, magnetic field, and rotational motion to capture the complex behavior of bone-like media under coupled physical influences. The governing equations are formulated within a continuum mechanics framework and solved analytically using displacement potential methods, yielding solutions in terms of Bessel functions that satisfy the cylindrical geometry and boundary conditions. Two distinct cases, corresponding to the absence and presence of rotation, are examined to assess the influence of rotational effects on wave dynamics. A detailed parametric analysis is carried out to evaluate the variation of phase velocity and frequency with respect to wave number, initial stress, magnetic parameter, density, and geometric ratios. The analytical results indicate that initial stress enhances wave propagation, while magnetic effects introduce damping and rotation significantly modifies dispersion characteristics. To improve computational efficiency and predictive capability, an AINN model is developed and trained using analytically generated data. The AINN predictions show excellent agreement with the analytical results, as confirmed through parity plots, error analysis, residual distribution, and loss convergence behavior. The novelty of the study lies in the unified analytical-AINN framework that integrates mechanical, electromagnetic, and rotational effects within a single model. The findings provide important insights for wave-based characterization of bone structures and have potential applications in non-destructive evaluation, ultrasonic diagnostics, and advanced biomedical sensing systems.
17 Apr 2026
Read appraisal →Science advances
Drawn-on-skin electronic tattoo as a closed-loop sensing-stimulation system for the muscles
Simultaneous electromyography (EMG) sensing and closed-loop electrical stimulation (ES) could enable interactive muscle training, motor rehabilitation, and kinesthetic feedback. However, current systems often suffer from nonconformal device/skin interfaces, poor wearability, and anatomical variability among users, limiting signal fidelity and stimulation precision. Here, we present a fully wireless, skin-integrated electronic tattoo platform that records high-quality EMG and delivers closed-loop ES through custom drawn-on-skin, conformal electrodes with strong adhesion and high spatial accuracy. The system supports closed-loop muscle interactions across body regions and even between individuals. Machine learning models classify EMG patterns from different hand gestures with >90% accuracy and adapt ES parameters to stimulate specific muscle groups. In a heavy object holding task, users reached the required grip behavior substantially faster than unassisted controls, indicating improved neuromuscular efficiency. This closed-loop framework not only supports personalized muscle control but also supports coordinated activation across multiple sites or users, unlocking possibilities in interactive motor training, remote rehabilitation, and virtual reality environments.
16 Apr 2026
Read appraisal →Journal of the International Society of Sports Nutrition
Effects of race distance and probiotics intervention on kidney, muscle, and gut injury and inflammation biomarker responses during running.
INTRODUCTION: Prolonged intense physical activity, such as long-distance running, may lead to systemic inflammation and cause organ injury, particularly to the kidneys. This study aimed to assess the impact of trail race running on kidney and muscle injury and gut inflammation biomarkers, and the potential mitigating effects of Lactiplantibacillus plantarum 299v (Lp299v) supplementation. METHODS: This randomized, double-blind, placebo-controlled study included 34 participants who completed 42 races, ranging from 20 to 164 km. Participants were divided into two groups, receiving either 40 bn CFU Lp299v or a placebo for 4 weeks before the race. Urine and fecal samples were collected pre- and post-race (immediately after, morning after and 24 h after the race) to measure biomarkers of muscle and kidney injury, and gut inflammation. Principal component analysis was used to create a single tubular kidney injury biomarker component variable (TKIBC1) positively associated with five separate tubular kidney injury biomarkers (MCP-1, KIM-1, GST-π, clusterin, and calbindin) at the three post-race time points. RESULTS: Running led to increased tubular and glomerular kidney injury markers, increased levels of fecal calprotectin, and, in some cases, elevated urine myoglobin levels. These effects were more pronounced in races ≥107 km (ultradistance). While Lp299v supplementation did not significantly influence TKIBC1, it was associated with a protective effect against gut inflammation. CONCLUSION: These findings suggest that prolonged intense exercise induces kidney and muscle injury as well as gut inflammation, with more severe effects observed in ultra-distance running. Lp299v may have some protective effects, particularly against gut inflammation, but further studies are needed to confirm these findings and explore the underlying mechanisms linking gut health and kidney injury during extreme physical exertion.
16 Apr 2026
Read appraisal →Analytical chemistry
Dual-Signal Amplification Strategy for Synchronous Monitoring of Stress Hormones and Metabolic Indicators
The synchronous monitoring of stress hormones and metabolic indicators is crucial for long-term health management, yet it remains a significant challenge for wearable sensors, primarily due to the ultralow abundance of biomarkers in sweat and the vulnerability of weak electrochemical signals to interference. Herein, we report a wearable electrochemical sensor based on a dual-signal amplification strategy for the synchronous and highly sensitive detection of cortisol, glucose (Glu), and uric acid (UA). The CuFe-PBA/CC substrate provides a platform featuring high surface area, electrocatalytic activity, and dual signal amplification capabilities, which are the primary sources of high sensitivity. The MIP layer enhances the effective concentration of target substances near active sites through a local enrichment effect. Combined with the substrate's high catalytic activity, this amplifies the electrochemical signal specific to the target. It synergizes with an exogenous redox probe ([Fe(CN)6]3-/4-) to establish a dual-amplification pathway, which enhances the current output to the milliampere level and substantially improves the signal-to-noise ratio. To ensure the optimal performance of the sensor, the preparation parameters were optimized via the integration of machine learning. This integrated sensing system exhibits high selectivity, superior sensitivity (with detection limits of 44.78 fM for cortisol, 0.064 μM for Glu, and 0.089 μM for UA), and excellent stability (retaining 88% of the initial signal after 100 cycles of mechanical deformation). Furthermore, we fabricated the sensor into a watch-like form factor, integrated it with high-precision wearable electronic modules, and achieved real-time wireless detection of sweat cortisol, Glu, and UA in ex vivo sweat monitoring experiments. This work provides a novel solution for objective stress assessment and metabolic status monitoring, holding promise for advancing long-term health management applications.
15 Apr 2026
Read appraisal →JMIR cancer
Physical Activity Monitoring in Adolescents and Young Adults With Cancer: Observational Feasibility Study
BACKGROUND: There is a growing interest in characterizing the relationship between long-term physical activity (PA) habits and cancer-related outcomes such as treatment-related toxicities, recurrence, and complications. Wearable devices can provide critical information to achieve this goal; however, inferences are significantly influenced by device wear adherence. OBJECTIVE: This study aimed to assess the feasibility of using wearable devices to monitor short- and long-term PA in adolescent and young adult (AYA) patients with sarcoma during and after chemotherapy in a free-living environment and evaluate the ability to accurately capture changes in PA over 3 years. METHODS: A total of 63 AYA patients with sarcoma were provided with a Fitbit Charge 3 to track daily steps, sedentary time, and heart rate for up to 3 years. RESULTS: On average, during the first 30 days of follow-up, 57.1% (36/63) of patients wore their device at least 10 hours per day, and only 23.8% (15/63) of patients wore their devices thereafter. Patients spent a mean of 80% (SD 11%) of their day in a sedentary state. Despite low adherence, daily step count trends increased over time. CONCLUSIONS: This study highlights the adherence challenges met with longitudinal PA monitoring in AYA patients with sarcoma. Wearer discomfort, lost devices, and lack of data uploading compliance contributed to data missingness and attrition. Caution is warranted when relying on wearable activity trackers to inform program decisions, accurately assess PA outcomes, and monitor program adherence longitudinally without consideration of wearer bias. Alternative methods that would be more broadly accepted by AYA patients for effective long-term monitoring should be considered.
15 Apr 2026
Read appraisal →PloS one
Effect of different velocity loss thresholds during a resistance training program on jump and sprint performances in trained female athletes
This study aimed to explore the effects of velocity-based resistance training (VBT) using different velocity loss (VL) thresholds on jump and sprint performance in trained female athletes. Fifteen college-level female basketball players completed an 8-week VBT program (2 sessions/week), involving parallel back squats performed at a target mean propulsive velocity of 0.7 m/s. Participants were randomly assigned to two groups: VL10% (n = 8) and VL20% (n = 7), where training sets were terminated when the target velocity-loss threshold was exceeded for the second time within the same set. Performance tests, including one-repetition maximum (1RM), squat jump (SJ), countermovement jump (CMJ), and 20-m sprint (SP20) with split times recorded at 5 m (SP5) and 10 m (SP10), were conducted pre- and post-intervention. The VL10% group showed significant improvements in SJ (p = 0.048, d = 1.30), SP10 (p = 0.004, d = 0.62), SP20 (p = 0.002, d = 0.67), and 1RM (p = 0.002, d = 0.29). The VL20% group also showed improvements in SP10 (p = 0.004, d = 0.42), SP20 (p = 0.002, d = 0.56), and 1RM (p = 0.002, d = 0.62), although SJ did not significantly improve. Despite no significant interaction effects, effect sizes suggest possible differences that require verification in adequately powered trials. VBT using low VL thresholds may be useful for maintaining movement velocity with lower training volume; however, between-group differences were not statistically significant and CMJ did not show clear improvement. Larger-scale studies are needed to confirm these trends.
14 Apr 2026
Read appraisal →PloS one
Effects of complex training on jump performance and neuromuscular activation in volleyball athletes: A controlled study
This study examined the integrated effects of complex training combining barbell back squats (BBS) and drop jumps (DJ) on jump performance and concentric-phase neuromuscular activation in volleyball athletes. In a randomized controlled design, twenty male volleyball athletes were allocated to an intervention group (IG, n = 10) or a control group (CG, n = 10). The IG completed an 8-week, twice-weekly complex training protocol (BBS followed by DJ), with loads progressively adjusted according to individual 1RM values, whereas the CG performed an intensity-matched BBS protocol. Primary outcomes were countermovement jump (CMJ) and approach jump (AJ) height and propulsion impulse (expressed in BW·s), while concentric-phase integrated electromyography (iEMG) and root mean square (RMS) amplitude were secondary outcomes. The results showed that, compared with the CG, the IG exhibited greater improvements in both CMJ and AJ height (CMJ: Δ = 6.13 vs 2.65 cm; AJ: Δ = 7.28 vs 2.78 cm; both p < 0.05). In addition, gains in propulsion impulse were larger in the IG (CMJ: Δ = 0.06 vs 0.02 BW·s; AJ: Δ = 0.08 vs 0.03 BW·s; both p < 0.05). Furthermore, electromyography revealed task-specific recruitment patterns: under BBS, the quadriceps and tibialis anterior showed higher iEMG and RMS values, whereas under DJ the lateral and medial heads of the gastrocnemius were more strongly activated, indicating complementary effects across key lower-limb muscle groups. Taken together, these findings indicate that an 8-week BBS-DJ complex program, compared with resistance training alone, is more effective in improving jump performance and propulsion impulse and in optimizing task-specific concentric activation patterns of the lower-limb musculature in volleyball athletes, and may serve as a feasible and evidence-based prescription for volleyball-specific conditioning.
12 Apr 2026
Read appraisal →Scientific reports
Effect of glucose on medium chain triglyceride induced ketosis in healthy adults in a randomized, double-blind, controlled study
Although medium-chain triglycerides (MCT) stimulate and carbohydrates inhibit ketone body synthesis, their quantitative interaction in humans is not well defined. This randomised, controlled, double-blind crossover study investigated how increasing glucose doses affects C8-MCT-induced ketone body synthesis after overnight fasting. Eleven healthy young woman (22.5 ± 1.9 years) received a constant dose of tricaprylin (99% C8; 0.2 g/kg bodyweight) combined with increasing glucose doses (0.2-0.6 g/kg bodyweight). In additional interventions, both C8-MCT and glucose were increased in parallel. Plasma β-hydroxybutyrate (βHB), glucose, and insulin were measured for up to 300 min post-dose. Indirect calorimetry in a subset and side effects were monitored. C8-MCT significantly increased βHB concentrations at low and medium glucose doses compared with control, but not at highest glucose dose. When both substrates were increased equally (1:1 ratio), ketone body synthesis increased. βHB was negative correlated with increasing glucose dosing at constant C8-MCT dosing, while parallel increases in both substrates showed a positive moderate correlation between βHB and C8-MCT doses. No dose-dependent side effects occurred. Overall, ketone body synthesis declines with rising glucose intake. It remains unclear whether a C8-MCT: glucose ratio of 1:3 represents a metabolic cut-off or whether glucose intake becomes excessive due to linear effects.Trial registration This study was prospectively registered in the German Clinical Trials Register (DRKS ID DRKS00035373 https//www.bfarm.de/EN/BfArM/Tasks/GermanClinicalTrialsRegister/_node.html ).
12 Apr 2026
Read appraisal →PloS one
The effectiveness of dry needling at myofascial trigger points for knee disorders: A quantitative synthesis of randomized controlled trials
PURPOSE: Dry needling (DN) targeting myofascial trigger points (MTrPs) has been proposed as a treatment for knee disorders, including knee osteoarthritis (KOA) and patellofemoral pain syndrome (PFPS). This meta-analysis evaluated the effectiveness of DN in improving pain and function in patients with knee disorders. METHODS: This meta-analysis was conducted in accordance with PRISMA 2020 guidelines and was prospectively registered in PROSPERO (CRD420261294603). Systematic searches were performed in PubMed, Embase, Web of Science, Cochrane CENTRAL, CNKI, Wanfang, and VIP databases from inception to December 2025 for randomized controlled trials (RCTs) comparing DN targeting MTrPs with sham DN, no intervention, or other active treatments for knee disorders. Primary outcomes were pain intensity measured by the Visual Analog Scale (VAS) and Numeric Pain Rating Scale (NPRS). Secondary outcomes included functional status assessed by the WOMAC functional subscale and the Kujala Patellofemoral Score. Weighted mean differences (WMDs) were calculated using random-effects models. Risk of bias was assessed using the Cochrane Risk of Bias 2 (RoB 2) tool, and certainty of evidence was evaluated using the GRADE framework. RESULTS: Twenty RCTs (n = 1,234; mean age range: 22-69 years) met the inclusion criteria. Compared with controls, DN significantly reduced knee pain across all pain measures: NPRS (WMD = -1.00, 95% CI: -1.25 to -0.76; I² = 0.0%), VAS (WMD = -1.19, 95% CI: -1.73 to -0.66; I² = 80.4%), and WOMAC Pain subscale (WMD = -1.76, 95% CI: -2.57 to -0.95; I² = 67.6%), with an overall pooled pain reduction of WMD = -1.25 (95% CI: -1.58 to -0.92; I² = 74.7%). DN also significantly improved knee function as measured by the WOMAC functional subscale (WMD = -6.59, 95% CI: -8.88 to -4.29; I² = 61.6%) and the Kujala Patellofemoral Score (WMD = 6.39, 95% CI: 4.64 to 8.14; I² = 30.1%). Pre-specified sensitivity analyses using standardized mean differences confirmed the robustness of these findings. The overall risk of bias was moderate, with concerns primarily related to inadequate blinding of participants and outcome assessors. The GRADE certainty of evidence was rated as moderate for all primary outcomes. CONCLUSION: DN targeting MTrPs provides significant short-term pain relief and functional improvement in KOA and PFPS, with pain reductions approaching clinically important thresholds. However, substantial heterogeneity, blinding limitations, and short follow-up necessitate cautious interpretation, and high-quality long-term RCTs are needed.
12 Apr 2026
Read appraisal →Medicine
Influence of alteration of foot progression angle on three-dimensional pelvic kinematics in individuals with knee osteoarthritis during walking: A randomized crossover study
BACKGROUND: Foot progression angle (FPA) modification trials during walking have been used to reduce knee adduction moments in medial compartment knee osteoarthritis. However, few studies have confirmed the impact of FPA modification as a clinical intervention on pelvic segment kinematics. METHODS: Kinematic pelvic data were obtained from 37 participants with medial knee osteoarthritis using a three-dimensional motion capture system under varying FPA walking conditions. A repeated-measures analysis of variance was conducted to assess the influence of each FPA condition on kinematic values. RESULTS: During maximal internal foot rotation gait trials, participants exhibited decreased depression, reduced external rotation, and increased internal rotation of the pelvis compared to the free walking condition (P < .05). In contrast, under the maximal external foot rotation condition, significantly less internal rotation and increased external rotation of the pelvis were observed compared to the free walking condition (P < .05). CONCLUSION: The findings of this study suggest that additional musculoskeletal dysfunctions and clinical implications, including back pain and pelvic instability, should be considered when implementing FPA modification gait in individuals with medial compartment knee osteoarthritis.
11 Apr 2026
Read appraisal →PloS one
Prevalence and risk factors for AMS: A systematic review and meta-analysis
BACKGROUND: Acute Mountain Sickness (AMS) is a high-altitude-specific condition with variable prevalence and poorly defined risk factors. Despite growing global exposure to high-altitude environments, no systematic review has comprehensively synthesized AMS epidemiology. OBJECTIVES: To assess the prevalence of AMS and critically evaluate evidence on risk factors associated with increased susceptibility. DESIGN: A systematic review and meta-analysis following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. DATA SOURCES: PubMed, Cochrane Library, Web of Science, CINAHL Plus, China Knowledge Resource Integrated Database (CNKI), Wanfang Database, Chinese Biomedical Database (CBM), and Weipu Database (VIP) were comprehensively searched for observational studies investigating the prevalence and risk factors of AMS from January 1, 2004 to December 31, 2024. REVIEW METHODS: Original journal articles were included which met the inclusion criteria. The quality of the included studies was evaluated independently by two investigators. Meta-analysis was conducted using R software (v4.2.2), with estimates of AMS from pooled using a random-effects model. RESULTS: Fifty-eight studies (n = 2,705) were included. The pooled AMS prevalence was 48.25% (95% CI: 42.58-53.96%), with substantial heterogeneity (I² = 82.3%). Significant risk factors included extreme altitude (>5500 m; RR = 1.89), rapid ascent (<6 h; RR = 1.60), marked heart rate increase (>20 bpm; RR = 2.35), and oxygen saturation decline (>10%; RR = 2.02). Prior AMS history (RR = 1.36) and male sex (RR = 1.15) were also associated with higher risk, while older age (>50 years) was protective (RR = 0.78). CONCLUSION: AMS affects nearly half of high-altitude visitors. Altitude, ascent rate, cardiopulmonary response, and prior AMS history are key risk determinants. These findings support pre-exposure risk stratification, staged ascent protocols, and real-time physiological monitoring. PROSPERO CRD42024595365.
11 Apr 2026
Read appraisal →PloS one
Effects of scapular-focused movement-based exercises on sports performance of athletes with scapular dyskinesis: A systematic review
BACKGROUND: Scapular dyskinesis is a common dysfunction among athletes, particularly in overhead sports, leading to pain, reduced range of motion (ROM), and impaired performance. Movement-based exercises are increasingly used to address these issues, but their overall impact on sports performance remains unclear. OBJECTIVE: This systematic review aims to evaluate the effects of movement-based exercises on sports performance in athletes with scapular dyskinesis. METHOD: A comprehensive search was conducted in Web of Science, Scopus, and PubMed up to July 30, 2025, following PRISMA guidelines. Data were extracted and assessed for risk of bias using RoB-2 and ROBINS-I tools. A narrative synthesis was performed due to study heterogeneity. RESULTS: Fourteen studies (8 RCTs and 6 non-RCTs) involving 412 participants with a mean age of 23.8 years assessed movement-based interventions lasting from a single session to 24 weeks, primarily focusing on scapular stabilization, kinetic chain control, and proprioception over 6-8 weeks with around three sessions per week. Moderate-certainty evidence suggests that exercise likely improves shoulder function, disability, and glenohumeral range of motion over 6-12 weeks. However, the evidence for pain reduction and improvement in rotator cuff/scapular strength is of low certainty, showing mixed effects depending on the specific program. Evidence for improvement in scapular kinematics is also of low certainty. Sport-specific performance outcomes, such as throwing velocity, remain highly uncertain due to small sample sizes and conflicting results from RCTs. CONCLUSION: Movement-based exercises may be considered by athletes with scapular dyskinesis to potentially improve shoulder function and glenohumeral range of motion; however, the certainty of evidence for effects on pain relief, strength, and sports performance is very low. Therefore, strong recommendations cannot be made at this stage. More tailored programs and well-structured RCTs are needed to clarify these effects.
11 Apr 2026
Read appraisal →ACS applied materials & interfaces
Bioinspired Janus Electronic Textiles with Moisture and Thermal Management
Wearable electronics have attracted great attention in recent decades. However, excessive sweat accumulation on skin often has a significant effect on the signal stability, comfort, and safety of electronic skin in practical applications. Herein, a skin-comfortable Janus electronic textile (e-textile) that integrates unidirectional liquid transport and passive radiative cooling properties is developed. This e-textile is fabricated through laser ablation and single-side plasma treatment of carbon nanotubes (CNTs) doped with polydimethylsiloxane (PDMS). The resulting e-textile features a conical pore structure and asymmetric wettability, enabling unidirectional sweat transport from the skin surface to a superhydrophilic silk layer, thereby maintaining a dry and comfortable skin microenvironment. The Janus e-textile achieves a solar reflectivity of 69.2% and a mid-infrared emissivity of 98.3%, reducing the temperature by approximately 5.0 °C compared with a cotton fabric under solar intensity, demonstrating a superior radiative cooling performance. Moreover, the Janus e-textile exhibits stable resistance changes under cyclic stretching and bending, accurately detecting subtle movements across various body parts while reliably acquiring electromyography (EMG) signals. This work positions the Janus e-textile as a pioneering solution for next-generation wearable technologies, integrating thermal and moisture management with advanced resistive strain sensing and EMG capabilities for applications in sports, rehabilitation, and health monitoring.
10 Apr 2026
Read appraisal →ACS applied materials & interfaces
Evolving Beyond Nature: AI-Driven Rapid Advancements of Bio-Inspired Electronic Skin
Electronic skin (e-skin) is a rapidly developing technology at the intersection of humans and machines with tremendous applications in robotics, healthcare, sports performance, and other fields of wearable electronics. With the recent popularization of artificial intelligence (AI), data-driven approaches to materials design and geometric functional optimization have accelerated e-skin development, enabling optimized microstructures, novel functionalities, and improved usability. Recent progress in bioinspired materials design and functionality enhancements for e-skin is paving the way for future-facing machine learning-powered tools to further accelerate their development. In this review, we discuss the traditional properties of e-skins, their sensing mechanisms, and suitable applications. Then, we investigate and categorize bioinspired structures from material, structural, and functional perspectives. Next, we outline the fundamentals of AI for data-driven optimization and how it can be utilized toward bioinspired e-skin design. This blended e-skin design framework culminates in novel applications, from customizable layouts for personalized therapeutics to dynamic environment recognition for enhanced robotics. Finally, we will explore the challenges of e-skin human-machine interfaces, including their hardware limitations, sensitivity, and longevity issues, and offer insights into future-proof research.
10 Apr 2026
Read appraisal →Cell metabolism
Blood-flow restriction resistance training improves skeletal muscle mitochondrial capacity and cardiovascular risk factors in type 2 diabetes.
Impaired muscle strength and mitochondrial functionality are hallmarks of type 2 diabetes (T2D). Conventional combined resistance/endurance exercise training has limited efficacy to simultaneously improve muscle function and metabolism. We examined whether low-load blood-flow restriction training (BFRT) increases both muscle strength and mitochondrial oxidative capacity in T2D. Over 12 weeks, BFRT and conventional resistance training (CREST) similarly improved muscle strength despite lower workload in BFRT. Uniquely, BFRT enhanced muscle and adipose tissue oxidative capacity and increased muscle mitochondrial content. Transcriptomic profiling revealed more pronounced changes, particularly in angiogenesis-linked pathways, upon BFRT. BFRT also preferentially led to reductions in visceral adipose tissue volume and waist circumference, whereas CREST more effectively decreased subcutaneous adipose tissue volume. Both interventions lowered resting heart rate and diastolic blood pressure. These findings position BFRT as a promising low-load exercising strategy to simultaneously improve mitochondrial oxidative capacity, muscle strength, and body composition in individuals with T2D.
9 Apr 2026
Read appraisal →PloS one
Prediction of on-field rugby scrummaging contact forces from videos using artificial neural networks
Rugby is a contact sport with a high risk of injury. Scrums are a key component of the game and represent a collision event associated with serious injuries, especially to the cervical spine. Traditional methods for measuring scrum forces rely on both pressure sensors and scrum machines, but these have limitations for on-field monitoring. Thus, this study investigates the feasibility of using a machine learning approach to predict contact forces in rugby scrummaging during real-game situations, based on only anatomical landmarks of players extracted from video footage. A recurrent neural network (RNN) model was trained to predict contact forces from velocity signals. A dataset of eleven rugby teams (22 forward packs, n = 176 players) during on-field scrum engagements was used. Data augmentation techniques using a generative adversarial network and the Mixup technique were applied to increase the size of the training dataset. The RNN was trained using time-dependent data, with 2D trajectories from video landmarks as inputs and force signals from pressure sensors as outputs. The RNN´s prediction results showed good to excellent agreement between the predicted and measured time-dependent normal contact force signals, with a mean correlation of 0.95 ± 0.05. The mean normalized RMSE was 9.3 ± 4.3% and the mean normalized absolute difference in peak force was 6.7 ± 5.5%. This study demonstrated the feasibility of using RNNs to quantify contact forces in rugby scrummaging using only single-camera video, without players wearing sensors. In combination with a 2D human pose estimation model, the ANN trained in this study could support performance analysis, coaching, technique correction, and injury prediction using in-game data.
9 Apr 2026
Read appraisal →PloS one
The Relationships between physical activity, sedentary behaviour, sleep, and dementia: A systematic review and meta-analysis of cohort studies
OBJECTIVE: This study aimed to summarize the observational evidence from prospective cohort studies examining the associations of regular physical activity, sedentary behaviour, and sleep duration with incident dementia among community-dwelling adults aged 35 years and older. METHODS: Systematic literature searches (1946 to August 2025) of CINAHL, EMBASE, MEDLINE, PSYCINFO, and SPORTDISCUS were performed. Eligible studies included community-dwelling adults aged 35 + years with at least one year of follow-up and valid measures of movement behaviours and dementia outcomes. Studies were excluded if they included participants with baseline dementia, lacked risk estimates for all-cause dementia. Grey literature was excluded. Random effects meta-analysis generated pooled risk ratio (RR) and 95% confidence intervals (CI). Primary exposures were defined using national thresholds for physical activity, sedentary time, and sleep duration. Subgroup analyses were performed by age and follow-up duration. RESULTS: Forty-nine studies with physical activity (n = 2,855,529), 17 studies on sleep duration (n = 1,344,170), and three studies on sedentary duration (n = 295,809) were included. Regular physical activity significantly reduced the risk of incident dementia (pooled RR = 0.75, 95% CI = 0.68 to 0.82), though heterogeneity was substantial and partially explained by subgroup analyses. Prolonged sedentary behaviour (8 + hours/day sitting) increased dementia risk (RR = 1.27, 95% CI = 1.17 to 1.39) with low heterogeneity. Moreover, both short (<7 hours; RR = 1.18, 95% CI = 1.09 to 1.28) and long (>8 hours; RR = 1.28, 95% CI = 1.15 to 1.43) sleep were linked to higher dementia risk compared with 7-8 hours. Heterogeneity was moderate to substantial. CONCLUSION: Regular physical activity, less sedentary time and appropriate nightly sleep (7-8 h) may be associated with reduced risk of dementia and are potentially modifiable factors in the prevention or delay of dementia. Future studies with middle-aged adults and longer-term follow-up including changes in movement behaviours over time are needed to better understand the relationship between physical activity, sedentary behaviour, and sleep for dementia risk. PROSPERO REGISTRATION: CRD42021272054.
9 Apr 2026
Read appraisal →European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
Predicting minimal clinically important difference after hip arthroscopy: logistic regression versus machine learning
PURPOSE: Hip arthroscopy outcomes for femoroacetabular impingement (FAI) remain heterogeneous, with 30-40% of patients failing to achieve meaningful improvement. We aimed to develop and validate a predictive model for achievement of minimal clinically important difference (MCID) using routine preoperative variables, and to compare logistic regression with machine learning algorithms. METHODS: We retrospectively analyzed 310 consecutive patients undergoing hip arthroscopy for FAI (2010-2024) at a single institution. Predictor variables included age, sex, body mass index (BMI), morphological etiology, preoperative pain (VAS), and Hip Outcome Score-Activities of Daily Living (HOS-ADL). The outcome was achievement of MCID (≥ 9-point improvement in HOS-ADL). We developed logistic regression, random forest, and gradient boosting models. Internal validation used 10-fold stratified cross-validation. Temporal external validation used 80% of patients for training and 20% for testing. RESULTS: Mean age was 39.7 ± 12.0 years; 59.7% were male. MCID was achieved by 213 patients (68.7%). Lower preoperative HOS-ADL (OR 0.911, 95% CI 0.883-0.940, p < 0.001) and lower BMI (OR 0.846, 95% CI 0.771-0.928, p < 0.001) independently predicted MCID achievement. Logistic regression achieved AUC 0.804 (95% CI 0.76-0.85) on internal validation and AUC 0.819 on temporal external validation (accuracy 81.4%). Logistic regression outperformed random forest (AUC 0.787) and gradient boosting (AUC 0.777). Calibration was excellent. CONCLUSION: A parsimonious logistic regression model using routine preoperative variables demonstrated excellent and externally validated discriminative ability for predicting MCID after hip arthroscopy. The model outperformed machine learning algorithms while maintaining superior interpretability. The developed nomogram provides a practical tool for individualized outcome prediction.
9 Apr 2026
Read appraisal →Physiological measurement
Towards fair and trustworthy heart rate estimation from wrist-worn photoplethysmography: a multi-wavelength dataset and uncertainty-aware deep learning approach evaluated across skin tones, sexes, and motion conditions
Objective.To improve fairness (reduced disparities across skin tones and sexes) and trust (well-calibrated uncertainty metrics that indicate unreliable predictions) in wrist-worn photoplethysmography (PPG) heart rate estimation. While PPG offers a convenient, low-cost method for continuous heart rate monitoring, accuracy is often degraded by motion artefacts and demographic variation.Approach.We collected a multi-wavelength (blue, green, red, IR) wrist-worn PPG dataset covering diverse activities, skin tones, and sexes, and developed a multi-branch PPG-accelerometer fusion convolutional neural network quantifying both aleatoric and epistemic uncertainty (the latter via Monte Carlo dropout, concrete dropout, and deep ensembles). We compared wavelength sets, quantified demographic effects, and applied uncertainty-aware post-processing to filter out high-uncertainty predictions. Evaluation used leave-one-subject-out cross validation across both the collected multi-wavelength dataset and five commonly used single-wavelength datasets.Main results.Multi-wavelength fusion improved accuracy under motion, with blue-green-red-IR achieving the lowest mean absolute error (MAE). Baseline error was higher for participants with darker skin tones and for females; uncertainty-guided rejection reduced MAE and effectively eliminated these gaps (reducing parity gaps from 1.2 BPM to 0.0 BPM for skin tone). Concrete dropout provided the best calibration-accuracy-efficiency trade-off, achieving the lowest average miscalibration area (MA=0.12) while maintaining competitive MAE.Significance.Combining calibrated uncertainty with group-aware evaluation yields a more fair and trustworthy wrist-worn PPG heart rate estimation pipeline, supporting responsible deployment in consumer and sports contexts and informing bias-aware clinical development.
9 Apr 2026
Read appraisal →Blood pressure
Effects of whole-body vibration training on resting blood pressure in adults: a systematic review and meta-analysis of randomised controlled trials
OBJECTIVE: To investigate the effect of whole‑body vibration training (WBVT) on resting blood pressure (BP) in adults and its moderating factors through a meta‑analysis. METHODS: PubMed, Cochrane Library, Embase, and Web of Science were systematically searched up to 2 December 2025, with systolic BP (SBP) and diastolic BP (DBP) as the primary outcomes. Using Stata 17.0 software, effect sizes were pooled with a random‑effects model, and results were reported as weighted mean differences (WMDs) with 95% confidence intervals. RESULTS: This meta-analysis included 14 randomised controlled trials (RCTs) involving 490 adult participants. WBVT significantly reduced SBP (WMD = -6.57 mmHg, 95% CI [-8.84, -4.29]; p < 0.01) and DBP (WMD = -3.01 mmHg, 95% CI [-4.32, -1.71]; p < 0.01) in adults. Subgroup analyses showed greater BP reduction in individuals with higher baseline BP (SBP: -11.34 mmHg [95% CI: -13.45, -9.23]; p < 0.01; DBP: -6.15 mmHg [95% CI: -7.46, -4.83]; p < 0.01) and in those who were overweight or obese (SBP: -8.99 mmHg [95% CI: -11.18, -6.80]; p < 0.01; DBP: -3.98 mmHg [95% CI: -5.17, -2.78]; p < 0.01). Interventions using combined movement patterns also yielded more pronounced effects (SBP: -7.12 mmHg [95% CI: -9.73, -4.51]; p < 0.01; DBP: -3.30 mmHg [95% CI: -5.61, -0.79]; p < 0.01). CONCLUSION: WBVT significantly reduced resting BP in adults, particularly effective in those with higher baseline BP, overweight/obese, or using combined exercise protocols, but further high-quality RCTs are needed. This meta-analysis demonstrates that WBVT significantly reduces resting BP in adults, with an average reduction of 6.57 mmHg in SBP and 3.01 mmHg in DBP. Subgroup antihypertensialyses further revealed that the anve effect was more pronounced in individuals with elevated baseline BP (SBP ≥130 mmHg or DBP ≥80 mmHg) and in those who were overweight or obese (BMI ≥25 kg/m2). Additionally, training protocols incorporating compound movements, such as squats combined with heel raises, were superior to those using simple standing postures. These findings hold clear clinical significance. The magnitude of BP reduction achieved by WBVT, particularly the approximate 6.57 mmHg decrease in SBP, is expected to translate into a significant reduction in cardiovascular risk. Prior evidence indicates that for every 5 mmHg reduction in SBP, the risk of major cardiovascular events decreases by approximately 10%. Therefore, WBVT provides an effective, safe, and promising non-pharmacological adjunctive management strategy for adults, especially for higher-risk groups (e.g. individuals with hypertension or those who are overweight/obese) and for those who have difficulty engaging in traditional exercise.
9 Apr 2026
Read appraisal →Journal of medical Internet research
A Gamified Mobile Health Intervention to Promote Physical Activity, Executive Function, and Mental Health in College Students: Randomized Controlled Trial
BACKGROUND: College students commonly experience suboptimal health conditions, including insufficient physical activity (PA), excessive body weight, and declining physical fitness. Traditional interventions face low adherence, while gamified mobile health (mHealth) programs may improve engagement and outcomes. OBJECTIVE: This study aimed to evaluate the feasibility and effectiveness of a novel gamified, incentive-based mHealth intervention on primary outcomes (PA and adherence) and secondary outcomes (physical fitness, body composition, executive function [EF], and mental health). METHODS: A 2-arm parallel-group randomized controlled trial (RCT) was conducted in 2025 at Yantai University with 160 college students (18-25 years; BMI 18.5-30.0) who were randomized 1:1 (computer-generated, sex-stratified blocks of 4; concealed allocation) to the intervention group (IG) or control group (CG; n=80 each); major exclusions were contraindications to exercise, severe physical/mental illness, recent PA interventions, or psychotropic medication use. Both used the same fitness watch-app system and identical PA targets (≥150 min moderate-to-vigorous physical activity [MVPA] per week or ≥900 metabolic equivalent-minutes [MET-min] per week); IG additionally received team-based gamification (competition, points/leaderboards, feedback, and rewards), while CG received monitoring only. PA and adherence were monitored throughout the 8-week intervention; other outcomes were assessed at baseline and 8 weeks (fitness, body composition, EF, and mental health). Open-label with blinded outcome assessors/analysts; intention-to-treat (ITT) with multiple imputation. RESULTS: At 8 weeks, data were available for 154 participants (IG 78; CG 76); all 160 were analyzed per ITT. Compared to the CG, the IG demonstrated significantly higher mean levels in all primary PA outcomes over 8 weeks (daily steps: mean 10,356, SD 1245 versus 8242, SD 1087; Δ=2114; d=1.81, 95% CI 1.44-2.18; P<.001; daily MVPA: mean 71, SD 15 versus 43, SD 12 min; Δ=28 min; d=2.06, 95% CI 1.68-2.45; P<.001; and weekly MET-min: mean 1650, SD 310 versus 1340, SD 285; Δ=310; d=1.04, 95% CI 0.71-1.37; P<.001). Adherence was also higher in the IG (both P<.001). Key secondary outcomes, including skeletal muscle mass (Δ +0.54 kg), body fat percentage (Δ -0.46 percentage points), 800/1000 m run time (Δ -6.5 s), and depressive symptoms (Δ -2.0 points), significantly favored the IG (all P<.001). No serious adverse events occurred. CONCLUSIONS: This RCT demonstrated that integrating gamification into an mHealth platform significantly enhanced PA, intervention adherence, and selected health outcomes among college students. The key innovation lies in the trial design, which held the technology platform and activity goals constant across groups, thereby allowing a clearer estimate of the incremental contribution of gamification. Unlike many existing studies, this approach reduces confounding from co-occurring intervention components in between-group comparisons. It therefore provides more comparable and methodologically robust evidence on the specific efficacy of gamification in mHealth interventions. For real-world implementation, this model leverages the existing smartphone and wearable ecosystem, offering a low-cost, scalable strategy for university health-promotion programs.
8 Apr 2026
Read appraisal →Annals of medicine
Intervention components, training dose, and adherence in exercise-based prevention of hamstring strain injury in football: a systematic review and meta-analysis
OBJECTIVE: To quantify associations between exercise-based prevention programmes and hamstring strain injury (HSI) risk in football participants, and whether training dose and adherence modify effects. METHODS: Six databases were searched to 1 October 2025. Randomised and cluster-randomised trials comparing HSI prevention programmes with usual practice or warm-up in football participants were included. Random-effects meta-analysis pooled risk ratios (RRs); subgroup analyses and meta-regression assessed effect modification. RESULTS: Fifteen trials (n = 7,465) were analysed. Programmes reduced HSI risk (RR = 0.51, 95% CI 0.36-0.71), with I²=57% and a prediction interval crossing the null (0.18-1.40). Based on a control event rate of 7.8%, absolute risk reduction was 3.8% (38 fewer HSIs per 1000 participants; 95% CI 23-50 fewer). Effects were stronger for shorter interventions (1-6 months; RR = 0.43) than longer interventions (7-10 months; RR = 0.77; P for interaction=0.04), and for elite/semi-professional players (RR = 0.38) than amateur players (RR = 0.77; P for interaction = 0.02). Training frequency and weekly volume did not modify effects, whereas adherence did. High adherence (≥75%) was associated with lower HSI risk (RR = 0.36, 95% CI 0.28-0.48), whereas low adherence (<75%) showed no clear benefit (RR = 0.92, 95% CI 0.68-1.23; P for interaction <0.00001). Each 10% increase in adherence corresponded to an RR multiplier of 0.83 (approximately 17% lower RR). Certainty of evidence was low. CONCLUSION: Exercise-based programmes reduce HSI risk in football when implementation supports sustained adherence. Effects may be stronger in shorter interventions and elite populations, but evidence remains insufficient to differentiate programme types or components.
8 Apr 2026
Read appraisal →The bone & joint journal
Robotic-assisted surgery and functional alignment in total knee arthroplasty: the RASKAL registry-nested 2 × 2 factorial randomized trial
AIMS: Robotic-assisted surgery and functional alignment are increasingly being adopted in total knee arthroplasty (TKA). This study assessed the individual and combined effectiveness of robotic-assisted surgery and functional alignment in improving outcomes in TKA, compared with computer-assisted surgery and mechanical alignment, respectively. METHODS: A registry-nested, multicentre, blinded, 2 × 2 factorial, randomized trial was performed with 303 TKA patients randomized to robotic-assisted or computer-assisted surgery, and functional or mechanical alignment. The primary outcome was the between-group differences in postoperative change over two years in the mean Knee Injury and Osteoarthritis Outcome Score (KOOS-12). Secondary outcomes included knee-specific and general patient-reported outcome measures (PROMs), operative and functional outcomes, and adverse events. Primary modified intention-to-treat and secondary per-protocol analyses were performed. RESULTS: There were no differences comparing robotic-assisted with computer-assisted surgery in KOOS-12 at three months, six months, one year, and two years (mean two-year difference -2.8; 95% CI -6.4 to 0.9; p = 0.137), and no differences comparing functional with mechanical alignment at three months, six months, one year, and two years (mean two-year difference 0.3 (95% CI -3.4 to 4.0); p = 0.867). No differences were found in Oxford Knee Score, Forgotten Joint Score, EuroQol five-dimension five-level visual analogue scale, patient satisfaction, joint-related improvement, and pain comparing technology or alignment groups at three months, six months, one year, and two years. Robotic-assisted surgery had a shorter mean operating time by 11.5 minutes (95% CI 7.3 to 15.9; p < 0.001) and better mean posterior cruciate ligament macroscopic soft-tissue injury score (mean difference 0.7 (95% CI 0.3 to 1.1); p = 0.001) compared with computer-assisted surgery. Mechanical alignment had a higher soft-tissue release rate compared with functional alignment (44.8% vs 8.1%; OR 9.2 (95% CI 4.6 to 18.3); p < 0.001). In most cases, surgeons preferred the use of robotics and functional alignment. CONCLUSION: Robotic-assisted surgery and functional alignment were not superior to computer-assisted surgery and mechanical alignment, respectively, in improving clinical and functional outcomes up to two years post-TKA.
8 Apr 2026
Read appraisal →PloS one
Effects of virtual reality training on racket sports performance: A systematic review and meta-analysis of controlled trials
BACKGROUND: Virtual reality (VR) interventions are increasingly used in racket sports, and quantitative evidence is emerging. PURPOSE: To synthesise controlled trials examining the effects of VR-based training on racket sports performance outcomes. METHODS: A systematic search of five databases (PubMed, Web of Science, Scopus, SPORTDiscus, PsycINFO) up to 15 August 2025 was conducted following PRISMA 2020 guidelines. Eligible studies were controlled trials (randomised or non-randomised) comparing VR-based training (immersive or exergaming) with non-VR controls in tennis or table tennis players. Risk of bias was assessed using Cochrane RoB 2 (randomised) and ROBINS-I (non-randomised). Standardised mean differences (Hedges' g) were pooled using a random-effects model with Paule-Mandel τ² and Hartung-Knapp-Sidik-Jonkman (HKSJ) adjustment. The protocol was registered (PROSPERO CRD420251132325). RESULTS: Six controlled trials(total N = 426; analysed N = 401) were included. The pooled meta-analysis indicated a moderate overall effect favouring VR (Hedges' g = 0.78; HKSJ 95% CI [0.41, 1.15]), with moderate heterogeneity (I² = 52%). The 95% prediction interval was [-0.01, 1.57], which spans the null effect, indicating that in some future populations or settings VR training may not yield a meaningful performance advantage. One trial investigated perceptual-cognitive VR training (Anguera et al., 2025), showing a substantial but imprecise effect (g = 0.81, 95% CI [-0.05, 1.67]). As only a single study was available, this evidence is presented descriptively rather than meta-analytically. A subgroup examination of five physically engaging VR interventions found a similarly large effect (*g* = 0.78, 95% CI [0.31, 1.25]) despite considerable heterogeneity (I² = 62%). CONCLUSION: According to six controlled trials, VR training was associated with average performance enhancements in racket sports; however, the 95% prediction interval [-0.01, 1.57] encompasses the null effect, indicating that a future study could plausibly show no benefit. Due to the limited evidence base (k = 6), significant heterogeneity (I² = 52%), and considerable statistical uncertainty, the existing evidence does not allow for definitive conclusions regarding the efficacy of VR. The current findings should be regarded as a preliminary signal rather than confirmation of effectiveness. Larger, more methodologically robust RCTs with standardised outcomes are needed before definitive recommendations can be made.
7 Apr 2026
Read appraisal →Circulation
Wearable-Derived Training Load and Coronary Atherosclerosis in Middle-Aged and Older Athletes and Physically Active Controls: A New Perspective From the Master@Heart Study
BACKGROUND: Middle-aged and older endurance athletes have increased prevalence of coronary artery disease (CAD) on coronary computed tomography angiography compared with healthy controls, despite similarly low cardiovascular risk. Previous studies relied on self-reported data to quantify training load (TL), which poorly correlates with objective wearable-derived TL and may bias outcomes. The effect of objective TL on CAD risk remains unknown. METHODS: In this observational, cross-sectional analysis of the Master@Heart study, 222 men (median age, 54 [49-59] years) were included: 77 lifelong athletes, 98 late-onset athletes, and 47 controls. TL was assessed using objective wearable-derived training duration and intensity (12 consecutive months), as well as self-reported training measures. Coronary computed tomography angiography-derived CAD prevalence was compared across TL quartiles (Q) using a global unadjusted chi-square test and logistic regression, adjusted for cardiovascular risk factors and years of endurance exercise, to estimate odds ratios between Q4 and Q1. In addition, adjusted logistic regression models were fitted with continuous TL, using smoothing splines to capture potential nonlinear associations. RESULTS: Across quartiles of objective Edwards training impulse (training duration × heart rate-weighted intensity), unadjusted global differences were observed for ≥1 plaque (P<0.001), coronary artery calcification (CAC)>0 (P=0.002), and CAC>100 (P=0.012). Q4 participants had significantly higher adjusted odds of ≥1 plaque (odds ratio, 5.85; 95% CI, 2.33-14.71), CAC>0 (odds ratio, 5.03; 95% CI, 2.04-12.35), and CAC>100 (odds ratio, 3.50; 95% CI, 1.22-10.00) versus Q1. Similar associations were found for objective training duration, whereas no clear associations were observed for relative time spent in high-intensity zones. In continuous analyses, Edwards training impulse and objective training duration showed significant positive associations with ≥1 plaque and CAC>100 (P<0.05), whereas self-reported training duration was only significantly associated with CAC>100 (P<0.05). Metabolic equivalent of task-minutes per week based on self-reported TL was not associated with CAD (P>0.05). CONCLUSIONS: High training duration (hours/week), particularly when combined with cumulative high-intensity TL (Edwards training impulse), was independently associated with increased prevalence of subclinical CAD in middle-aged and older athletes and physically active controls. Exercise intensity alone, in the absence of high duration, was not clearly linked to CAD. These findings underscore the potential of objectively measured TL for understanding associations with subclinical CAD in endurance athletes. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03711539.
7 Apr 2026
Read appraisal →European journal of cardiovascular nursing
Effect of exercise intensity and volume on mortality and hospitalization in patients with coronary artery disease: a systematic review and pairwise and exploratory network meta-analysis
AIMS: To ascertain the impact of varying exercise intensities and volumes on clinical outcomes of patients with coronary artery disease (CAD) via a systematic review and meta-analysis. METHODS AND RESULTS: This study included randomized controlled trials to evaluate the effects of different intensity levels and volumes of exercise training and control interventions on clinical outcomes in patients with CAD. Data from eight databases were screened, extracted, and assessed for quality by two independent reviewers. Included studies were categorized into subgroups based on exercise intensity and volume. A random-effects model was used to conduct a meta-analysis of different outcomes. To further explore the combined effects, an exploratory network meta-analysis was performed, combining exercise intensity and exercise volume. Exercise training reduces the risk of cardiovascular mortality, overall hospitalization and cardiovascular hospitalization. In subgroup analyses, both moderate-intensity and continuous training significantly reduce the risk of overall hospitalization. Furthermore, the network meta-analysis shows that moderate-intensity continuous training (MICT) significantly lowers the risk of overall hospitalization [(risk ratio (RR) = 0.66, 95% confidence interval (CI): 0.47-0.95), surface under the cumulative ranking curve (SUCRA) = 70.6%] and cardiovascular hospitalization (RR = 0.66, 95% CI: 0.44-0.99, SUCRA = 80.1%) compared with usual care. In contrast to usual care, vigorous-intensity continuous training (VICT) lowers the risk of cardiovascular hospitalization (RR = 0.35, 95% CI: 0.14-0.92, SUCRA = 94.1%). CONCLUSION: MICT significantly reduces the risk of overall hospitalization and cardiovascular hospitalization. Although the evidence is limited, VICT appears to reduce the risk of cardiovascular hospitalization. Consequently, it may become an effective exercise-based intervention for preventing such events. REGISTRATION: PROSPERO: CRD42024519198.
5 Apr 2026
Read appraisal →Physiological reviews
An umbrella review of systematic reviews of the impact of wrist-worn wearables on health outcomes
We conducted an umbrella review to synthesize the evidence on the effectiveness of interventions incorporating wrist-worn wearables' feedback on diverse health outcomes including health promotion (i.e., health behaviors and disease risk perception) morbidity, mortality, functioning, and other health-related metrics in humans. We searched in MEDLINE, Web of Science, Embase, and Cochrane Library until March 18, 2025, for eligible systematic reviews. After screening 9,487 citations, we identified 39 systematic reviews, which included 98 original studies (1 observational study, 95 randomized controlled trials, and 1 pre-post study). The reviews primarily focused on adult populations, individuals with cardiometabolic conditions, and cancer survivors. The original interventional studies mainly included Fitbit (40.2%), Polar (12.4%), and ActiGraph (10.3%) devices. Over 80% of the clinical trials involved complex behavioral interventions with wearable-based feedback, and the control groups varied. Most systematic reviews were rated as low confidence, with common flaws including inadequate consideration for risk-of-bias and heterogeneity. Interventions incorporating wrist-worn activity trackers increased physical activity in diverse populations. The effect of interventions incorporating wrist-wearables' feedback on cardiometabolic risk markers, quality of life, depression/anxiety, and pain was limited and remained inconsistent. Our findings rely on existing systematic reviews, which may vary in quality, review methodologies, and comprehensiveness. There is also potential for missing more recent evidence not yet captured in these reviews. These limitations should be considered when interpreting our results. Acknowledging these caveats, wrist-worn wearables seem to increase physical activity and may have additional benefits that require further study.
4 Apr 2026
Read appraisal →Ann Anat
Epiphyseal interfaces.
This work explores interconnected articular and growth plate osteochondral interfaces, via complementary anatomical, biomechanical and structural analyses that combine benchtop micro-computed tomography (microCT) and high-resolution synchrotron CT (sCT) imaging approaches. We show that bony sclerosis, well-documented in late-stage OA in humans, and the osteoarthritic STR/Ort mouse model, is preceded by the amplified regionalised expansion of articular calcified cartilage (ACC) where vulnerability load-induced failure is greatest. We further observed marked alterations in the number and size of resident osteocyte lacunae in pre-OA and OA regions in comparison to controls, which age healthily, underscoring the value of CT-based approaches for elucidating early OA-related changes. Notably, our findings imply that excessive ACC formation is an early consequence of disrupted endochondral ossification that precedes and potentially drives OA sclerosis, osteophytosis and indeed, articular cartilage lesions. By applying digital volume correlation (DVC) to sCT images of loaded murine knee joints under physiological conditions, we demonstrate that the joints from a healthy parental control strain of CBA mice efficiently dissipate compressive strain, whereas OA-prone STR/Ort exhibit high strain foci in the epiphyseal compartment prior to cartilage degeneration; suggesting that early strain accumulation may therefore promote early joint vulnerability and subsequently prime degenerative progression with age. Finally, we examined how the cartilaginous growth plate (GP), responsible for all longitudinal bone growth, contributes to mechanical epiphyseal stability for articulation. Analysis of mineralised trans-physeal GP structures (bridges), revealed their dynamic and sexually dimorphic character as well as their regulation by mechanical loading and osteotropic agents. DVC analyses of sCT-imaged murine knee joints subjected to identical physiologically oriented load, identified that regionally heterogeneous load-induced strain patterns in the GP are spatially synchronised to bridge location; a relationship substantiated by finite element simulation. Together, these findings establish intra-physeal GP bridges as regulatable and mechanically sensitive structures that coordinate the transfer of local GP strains, while enhancing epiphyseal stability by distributing compressive and shear strains to thereby permit cessation of longitudinal growth.
1 Apr 2026
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