Home-Based Virtual Reality Training for Enhanced Balance, Strength, and Mobility Among Older Adults With Frailty: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: Frailty is a geriatric syndrome associated with increased risk of falls, hospitalization, and reduced quality of life. Traditional exercises may be unsuitable for older adults with frailty due to mobility issues and accessibility barriers. Virtual reality (VR) offers an engaging, home-based alternative by providing interactive training with real-time feedback. VR interventions have shown potential benefits for improving balance, strength, and mobility. Objective: This systematic review and meta-analysis aimed to evaluate the effectiveness of VR-based home training programs in improving balance, strength, and mobility among older adults with frailty and prefrailty. Methods: A systematic search was conducted in PubMed, Scopus, and Web of Science from inception to November 1, 2023, using terms related to older adults, frailty, virtual reality, balance, mobility, and strength. Eligible studies included randomized and nonrandomized trials involving adults with frailty or prefrailty aged ≥65 years who received home-based VR interventions aimed at improving balance, strength, or functional mobility. Comparator groups included no intervention, traditional exercise, or standard care. Studies involving participants with neurological or cognitive disorders were excluded. Study quality was assessed using the Physiotherapy Evidence Database scale. A random-effects meta-analysis was performed to calculate pooled mean differences (MD) and 95% CIs for 3 primary outcomes: Berg Balance Scale, Timed Up and Go, and Chair Stand. Results: A total of 1063 records were identified, with 1023 screened after duplicate removal. Six studies met the inclusion criteria, involving 407 participants (mean age 75.2, SD 6.4 y), of whom 198 were allocated to VR interventions and 159 to control groups. VR interventions lasted a mean of 13.3 (SD 7.7) weeks, with an average of 39.6 (SD 5.2) sessions lasting 25.3 (SD 5) minutes. Methodological quality was high in 5 studies (mean Physiotherapy Evidence Database score=5.6, SD 1.3). Four studies were included in the meta-analysis. Significant improvements were observed in balance, as measured by the Berg Balance Scale (MD=3.62; 95% CI 2.29-4.95; P<.001; I²=0%). No significant effects were found for mobility (Timed Up and Go: MD=-0.37; 95% CI -1.16 to 0.41; P=.35; I²=0%) or strength (Chair Stand: MD=-0.20; 95% CI -1.70 to 1.29; P=.79; I²=21%). Conclusions: VR-based home exercise interventions show promise in improving balance among older adults with frailty and prefrailty. However, their effects on strength and functional mobility remain unclear. Variability in study designs and outcome measures limits the generalizability of current findings. Further high-quality research is needed to determine optimal VR training protocols and assess long-term adherence and clinical effectiveness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".