Comparative Effectiveness of Unstable Versus Stable Resistance Training on Lower Limb Strength, Mobility, and Fear of Falling in Older Adults: A Systematic Review and Meta-analysis of Randomized Controlled Trials
- Journal
- American journal of physical medicine & rehabilitation (Q1)
- Published
- 17 July 2026
- Study design
- Systematic review / meta-analysis of RCTs
- Evidence level
- Level 1, High (CEBM 1a)
- Authors
- Hoa Ngan Doan, Min Cheol Chang
- PMID
- 42468010
- DOI
- 10.1097/PHM.0000000000002966
Why clinicians should know about it
- Picked for Rehabilitation (top studies of the week, 19 July 2026).
Abstract
OBJECTIVE: This meta-analysis compares the effectiveness of unstable resistance training (URT) with stable resistance training (SRT) on lower limb strength, mobility, and fear of falling in older adults. DESIGN: PubMed, Embase, Web of Science, Scopus, and the Cochrane Library were searched through July 9, 2025, for randomized controlled trials (RCTs) comparing URT with SRT in older adults. Outcomes included lower limb strength (maximal isometric leg extension strength, Five-Times Sit-to-Stand test), mobility (Timed Up and Go test, gait speed), and fear of falling (Falls Efficacy Scale-International test). Data were pooled separately for short-term (10 to 12 wk) and long-term (24 wk) interventions. RESULTS: Seven RCTs reported in 8 articles were included; 6 contributed to outcome-specific meta-analyses, and 1 was analyzed descriptively. After short-term training, URT showed no significant improvements over SRT in lower limb strength and mobility outcomes; for the Five-Times Sit-to-Stand test, SRT demonstrated a nonsignificant trend toward better performance than URT. URT significantly reduced fear of falling after short-term training and significantly improved Timed Up and Go performance following long-term training compared with SRT. CONCLUSIONS: URT may provide more benefits over SRT in reducing fear of falling in older adults, with greater functional gains after long-term training.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.