Effects of exercise regimens on balance ability in older patients with osteoporosis: a systematic review and Bayesian network meta-analysis of randomized controlled trials

To determine the optimal exercise regimen for improving balance and preventing severe falls in older patients with osteoporosis (OP). Four databases were searched until September 1, 2025. The risk of bias was assessed using Cochrane ROB2. Outcomes included Berg Balance Scale (BBS, primary), timed up and go test (TUG), bone mineral density (BMD), one-leg stand test (OLS), and number of falls. A Bayesian network meta-analysis in R4.4.1/GeMTC synthesized effects, presented as MD (95% CrI) and ranked by SUCRA. Analysis of 22 RCTs (n=1538) versus usual care showed virtual reality (VR) most effective for BBS (MD 9.2, 95% CrI 7.2, 11; SUCRA 99.66%) and TUG (MD -4.6, 95% CrI -5.8, -3.3; SUCRA 98.51%); balance training+resistance training+aerobics (BT + RT + aerobics) best improved BMD (MD 0.016, 95% CrI 0.012, 0.020; SUCRA 72.38%); trampoline best improved OLS (MD 8.8, 95% CrI 1.7, 5.5; SUCRA 72.38%); RT most significantly reduced falls (MD 0.29, 95% CrI 0.100, 0.68; SUCRA 84.86%). For older OP patients, VR is most effective in improving overall balance and mobility, with reliable evidence. Combination training, trampoline, and RT exhibit potential benefits for BMD, OLS, and fall prevention, respectively. Due to the limited amount of evidence and network strength, however, these interventions cannot yet be considered definitive clinical recommendations. More high-quality direct comparisons are required for further validation in the future.

Authors

Institutions

Publication Details

Journal
Frontiers in Physiology
Published
2026-03-31
DOI
https://doi.org/10.3389/fphys.2026.1793389
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of exercise regimens on balance ability in older patients with osteoporosis: a systematic review and Bayesian network meta-analysis of randomized controlled trials

X.X. Liu, Dongfa Liao, Mei-Lan Chang, Lin Cui et al.
Frontiers in Physiology
Balance, Gait, and Falls Prevention
article

Effects of exercise regimens on balance ability in older patients with osteoporosis: a systematic review and Bayesian network meta-analysis of randomized controlled trials

X.X. Liu, Dongfa Liao, Mei-Lan Chang, Lin Cui, Huiyun Yuan, Dongwen Li, Wenling Tian, Xuemei Zheng
article en

Abstract

To determine the optimal exercise regimen for improving balance and preventing severe falls in older patients with osteoporosis (OP). Four databases were searched until September 1, 2025. The risk of bias was assessed using Cochrane ROB2. Outcomes included Berg Balance Scale (BBS, primary), timed up and go test (TUG), bone mineral density (BMD), one-leg stand test (OLS), and number of falls. A Bayesian network meta-analysis in R4.4.1/GeMTC synthesized effects, presented as MD (95% CrI) and ranked by SUCRA. Analysis of 22 RCTs (n=1538) versus usual care showed virtual reality (VR) most effective for BBS (MD 9.2, 95% CrI 7.2, 11; SUCRA 99.66%) and TUG (MD -4.6, 95% CrI -5.8, -3.3; SUCRA 98.51%); balance training+resistance training+aerobics (BT + RT + aerobics) best improved BMD (MD 0.016, 95% CrI 0.012, 0.020; SUCRA 72.38%); trampoline best improved OLS (MD 8.8, 95% CrI 1.7, 5.5; SUCRA 72.38%); RT most significantly reduced falls (MD 0.29, 95% CrI 0.100, 0.68; SUCRA 84.86%). For older OP patients, VR is most effective in improving overall balance and mobility, with reliable evidence. Combination training, trampoline, and RT exhibit potential benefits for BMD, OLS, and fall prevention, respectively. Due to the limited amount of evidence and network strength, however, these interventions cannot yet be considered definitive clinical recommendations. More high-quality direct comparisons are required for further validation in the future.

Frontiers in PhysiologyVol. 17
North Sichuan Medical University (CN), Chengdu Medical College (CN), Chinese General Hospital College of Nursing and Liberal Arts (PH)
Health Commission of Chengdu Municipality
Openalex Percentile: Top 34%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.