Evidence-Based Medicine

Research Appraisals

Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.

Showing 5 appraisals

Randomised Controlled TrialEvidence: Weak
45CEBM

International journal of yoga therapy

Randomized Controlled Trial on the Effect of Yoga on Anxiety Severity, Quality of Life, and Biomarkers in Individuals with Anxiety Disorder

Anxiety disorders are highly prevalent mental health conditions characterized by physiological dysregulation that includes heightened stress responses, low-grade systemic inflammation, and metabolic imbalance, which together contribute to impaired quality of life. Although yoga-based interventions are increasingly used as complementary therapies, evidence isolating the effects of slow pranayama (yoga breathing) and savasana (corpse pose) on psychological outcomes and biochemical markers in anxiety disorders remains limited. This randomized controlled study evaluated the effects of slow pranayama and savasana, implemented as adjuncts to routine psychiatric care, on anxiety severity, quality of life, and selected biochemical markers in individuals with anxiety disorders. A total of 150 people diagnosed with anxiety disorders were allocated to either routine psychiatric care alone (control group) or routine care plus slow pranayama and savasana (intervention group) for 8 weeks. We assessed anxiety severity using the Hamilton Anxiety Rating Scale, quality of life using the World Health Organization Quality of Life-Brief questionnaire, and biochemical markers such as serum cortisol, brain-derived neurotrophic factor (BDNF), inflammatory markers, and metabolic parameters. Outcomes were analyzed using mixed-design analysis of covariance with Bonferroni correction, and correlational analyses were performed between psychometric, quality-of-life, and biochemical variables. Of the enrolled participants, 112 completed the study. Significant Group × Time interactions were observed for anxiety severity scores and the physical, psychological, and environmental domains of quality of life, with improvements noted only in the pranayama group. Serum cortisol levels decreased and BDNF levels increased significantly in the intervention group compared with controls. Inflammatory and metabolic parameters did not show statistically significant changes after correction, although favorable directional trends were observed. Anxiety severity and quality-of-life scores demonstrated significant correlations with cortisol, BDNF, and inflammatory and metabolic markers. Slow pranayama and savasana appear to be safe, feasible, and effective adjuncts to standard psychiatric care, improving anxiety severity and quality of life while favorably modulating stress-related physiological markers in people with anxiety disorders.

31 July 2026

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Systematic ReviewEvidence: Weak
45CEBM

Nutrition journal

Mindfulness and sustainable diets: a meta-analysis and CO2 emission savings scenarios

BACKGROUND: Dietary habits are a major driver of both human health outcomes and global greenhouse gas emissions, with excessive meat consumption being a key contributor. Mindfulness, understood as purposeful and non-judgmental awareness of the present moment, has been suggested as a psychological factor that can foster more sustainable food choices. However, the empirical evidence on the link between mindfulness and sustainable diets remains fragmented. MAIN BODY: This study presents the first systematic review and meta-analysis of the association between mindfulness and sustainable dietary behaviors. Twelve articles with 13 studies, published between 2018 and 2025, were included, covering both observational and interventional designs with sample sizes ranging from 16 to 560 participants. A random-effects model revealed a small but significant positive association between mindfulness and sustainable diets (d = 0.28, 95% CI [0.13, 0.43]). Subgroup analyses indicated that observational studies tended to show stronger effects than interventions, and that cultural context played an important moderating role, with larger effects reported in Asian samples. Facet-specific analyses suggested that certain mindfulness dimensions - particularly observing, describing, and non-reactivity - were more strongly associated with sustainable food choices, while others showed weaker or non-significant links. A focused analysis on meat consumption revealed that mindfulness was positively associated with reduced meat intake or vegetarian dietary intentions (d = 0.25). Scenario modelling using national Life Cycle Assessment data from Germany, the UK, and the U.S. demonstrated that the potential reductions in meat intake could translate into substantial CO2 emission savings. A full adoption of the EAT-Lancet diet was projected to result in cumulative savings of up to 11% of Germany's total emissions budget by 2040, whereas incorporating the population's willingness to reduce meat intake yielded more conservative cumulative savings of 2.8% over the same period. CONCLUSION: This meta-analysis provides systematic evidence that mindfulness is positively associated with more sustainable dietary behavior and reduced meat consumption. While effects are modest and heterogeneous, the findings suggest that mindfulness could represent a promising lever for promoting dietary change aligned with planetary health goals. Future research should further investigate cultural differences, the role of specific mindfulness facets, and the feasibility of scaling mindfulness-based interventions to support both individual well-being and climate targets.

8 July 2026

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Randomised Controlled TrialEvidence: Moderate
70CEBM

Journal of affective disorders

The role of treatment expectancy in lifestyle interventions for depression.

BACKGROUND: Treatment expectancy is a key mechanism underlying placebo. While well-documented in psychopharmacology and psychotherapy, its role in lifestyle-based interventions for mental disorders is uncertain. Given the emerging role of lifestyle-based mental health care, a comprehensive evaluation of the role of treatment expectancy has not yet been explored, especially when compared to other more established therapies. The potential for genuine treatment efficacy to be masked by placebo response may bring into question the magnitude of effects of this treatment. METHODS: We sought to: 1) investigate the role of treatment expectancy as a moderator of depression treatment outcomes in a completed randomised controlled trial of psychotherapy versus lifestyle therapy (the CALM trial); and 2) provide guidance on measuring and reporting expectancy effects in future trials. CALM was a two-arm, parallel-group, non-inferiority randomised controlled trial, comparing lifestyle therapy (delivered by accredited dietitians and exercise physiologists) and psychotherapy (facilitated by psychologists). A total of 182 participants (91 per arm) experiencing psychological distress (equivalent to 'indicative depression') during the COVID-19 pandemic were randomised. We assessed associations of expectancy (measured prior to randomisation using the Credibility-Expectancy Questionnaire) with reductions in depressive symptoms (as measured by the PHQ-9). RESULTS: Expectancy scores did not differ between treatment groups at baseline (β = 1.14; 95%CI = -1.93, 4.22). Both arms reduced PHQ-9 between baseline and 8-weeks (lifestyle mean difference = -30.25%, SD = 58.23%; psychotherapy mean difference = -22.46%, SD = 66.87%). However, higher expectancy was associated with a greater reduction in depression only in the psychotherapy arm: for every 1-unit increase in expectancy score depressive symptoms reduced by an additional 3.21% for psychotherapy compared to lifestyle therapy (95%CI = -5.77, -0.65). CONCLUSIONS: In this study we showed that participants' expectations about treatment at enrolment were only associated with treatment response in psychotherapy. These findings highlight the need to account for modality-specific drivers of expectancy when evaluating all treatments for depression, and support the inclusion of expectancy in reporting guidelines for future trials. REGISTRATION: The trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12621000387820; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380897).

16 June 2026

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Systematic ReviewEvidence: Strong
85CEBM

BMJ open

The association of the Healthy Lifestyle Index (HLI) and HLI trajectories with risk of all-cause and cause-specific mortality: a GRADE-assessed dose-response systematic review and meta-analysis.

BACKGROUND: The Healthy Lifestyle Index (HLI) integrates key behaviours to assess their cumulative impact on health. While higher HLI adherence is linked to lower disease and mortality risk, its long-term trajectory association remains understudied. This study aims to examine the dose-response relationship and long-term association of HLI on mortality risks. DESIGN: Systematic review and dose-response meta-analysis using the Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) approach. DATA SOURCES: PubMed, Scopus and Web of Science were searched until June 2024. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included observational cohort studies that assessed the relationship of HLI or its trajectories with all-cause, cardiovascular disease (CVD)-cause or cancer-cause of mortality. RESULT: Analysis of 13.7 million participants demonstrated that higher adherence to the HLI is linked to lower risk of all-cause (HR: 0.48; 95% CI 0.46 to 0.53; GRADE: moderate), CVD-cause (HR: 0.49; 95% CI 0.44 to 0.51; GRADE: moderate) and cancer-cause mortality (HR: 0.55; 95% CI 0.49 to 0.61; GRADE: low). These associations were further confirmed in a dose-response manner. Moreover, compared with maintaining an unhealthy lifestyle, a decline in HLI adherence was associated with a 14% higher risk of all-cause and a 19% higher risk of cancer-related mortality. In contrast, an improvement in HLI adherence was linked to a 20% lower risk of all-cause and a 13% lower risk of cancer-related mortality. CONCLUSION: Adherence to HLI and its long-term patterns are associated with lower mortality risk. These findings emphasise the importance of lifestyle-based prevention and intervention strategies in reducing mortality. PROSPERO REGISTRATION NUMBER: CRD42024500538.

31 May 2026

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observationalEvidence: Moderate
75CEBM

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

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