A Systematic Review and Meta-Analysis of Exercise Interventions and Use of Exercise Principles to Reduce Fear of Falling in Community-Dwelling Older Adults
Bibliographic record
Abstract
OBJECTIVE: Fear of falling (FOF) contributes to activity restriction and institutionalization among older adults, and exercise interventions are linked to reduction in FOF. Adhering to exercise principles and adapting optimal exercise parameters are fundamental to optimizing the effectiveness of exercise interventions. The purpose of this review was to describe FOF exercise interventions in community-dwelling older adults, evaluate the extent to which these interventions followed the exercise principles and reported exercise parameters, and quantify the effect of these interventions on reducing FOF. METHODS: Randomized controlled trials (RCTs) of FOF exercise interventions in older adults (≥65 years) were identified from 4 databases. The methodological quality of RCTs was assessed using the Physiotherapy Evidence Database scale. A random-effect model was used in the meta-analysis. RESULTS: Seventy-five RCTs were included in this review. With regard to reporting exercise principles, specificity was reported in 92% of trials, progression in 72%, reversibility in 32%, overload in 31%, diminished return in 21%, and initial value in 8%. For exercise parameters, 97% of RCTs reported exercise type; 89%, frequency; and 85%, time. Only 25% reported the intensity. The pooled effect of exercise interventions on FOF among all included studies was a standard mean difference of -0.34 (95% CI = -0.44 to -0.23). CONCLUSION: This study showed a significant small to moderate effect size of exercise interventions in reducing FOF among community-dwelling older adults. Most exercise principles and intensity of exercises were not adequately reported in included trials. IMPACT: These inadequate reports could undermine efforts to examine the optimal dosage for exercise prescription. More attention must be given to designing and reporting components of therapeutic exercise programs to facilitate evidence-based practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.042 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.035 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".