Digital Technologies and Biomarkers for Locomotor Capacity Assessment in Older Adults: Systematic Review

Clinical Snapshot

Key Findings

• P Value: Not applicable for systematic review

• Effect Size: Test-retest reliability coefficients: 0.016-0.97 (wide variation)

• Primary Outcome: Reliability and validity of digital biomarkers for locomotor capacity assessment

• Nnt Or Sensitivity: 13/14 studies demonstrated sufficient reliability and validity; 1 study insufficient for convergent validity

• Confidence Interval: Not reported for pooled estimates

Clinical Application

Moderate - requires digital technology infrastructure and training for healthcare providers Relevant to Australian aged care settings, potentially supporting PBS-funded allied health services and RACGP guidelines for falls prevention in elderly Community-dwelling older adults requiring locomotor capacity assessment

Abstract

BACKGROUND: Locomotor capacity, encompassing endurance, balance, muscle strength, muscle function, muscle power, and joint function of the body, is a key determinant of functional ability in older adults. Assessment tools based on digital technologies for objectively assessing locomotor capacity are increasingly being developed, but their reliability, validity, and clinical potential remain underexplored. OBJECTIVE: This systematic review aims to evaluate the current state of digital technologies, assess their validity and reliability for assessing locomotor capacity, and facilitate their effective implementation in clinical settings. METHODS: Systematic literature searches were performed in 6 electronic databases from inception to March 7, 2025. Citation lists from the included studies and gray literature from Google Scholar were additionally searched. Studies focusing on the reliability and validity of digital technologies for assessing locomotor capacity in general older adults were included. Standardized forms were used to extract information on study characteristics, participant demographics, digital technology details, and validity and reliability results. Methodological quality assessment and rating of measurement properties were conducted in accordance with the COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) guidelines. RESULTS: A total of 14 studies were included, of which 13 assessed balance using inertial measurement units, smartphones, balance boards, and force plates, and 1 assessed muscle power using smartphones. Fifty-one digital biomarkers were identified, including 47 for balance and 4 for muscle power assessment. Test-retest reliability coefficients ranged from 0.016 to 0.97, and validity was context specific. Overall, 13 studies demonstrated sufficient test-retest reliability and validity, whereas 1 study was rated as insufficient for convergent validity. Methodological quality was rated as "doubtful" or "inadequate" in 11 studies. CONCLUSIONS: This review provides a comprehensive summary of digital technologies for assessing locomotor capacity in older adults and identifies 51 digital biomarkers with generally acceptable reliability and validity. Unlike previous studies that focused on specific sensor types or disease-specific populations, this review integrates evidence across technologies within general older populations, providing insights into the clinical application potential of digital biomarkers as well as the key translational barriers limiting their real-world implementation. Specifically, existing digital technologies show considerable promise for early detection of functional decline, longitudinal monitoring, and informing personalized interventions. However, their clinical applicability remains constrained by limited assessment of certain locomotor components and by methodological shortcomings across current studies. Future research should prioritize rigorous, high-quality investigations that expand evaluation to a broader range of locomotor components in real-world settings while developing age-friendly tools with enhanced clinical interpretability.

References

1. 1.Zhou, S., Huang, J., Yu, J., Li, X., Zhang, C., Zhao, Y., Hu, M., & Feng, H. (2026). Digital Technologies and Biomarkers for Locomotor Capacity Assessment in Older Adults: Systematic Review. Journal of Medical Internet Research, 28(4). https://doi.org/10.2196/83814