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Record W4409653641 · doi:10.1519/jpt.0000000000000457

A Systematic Review and Meta-Analysis to Examine the Effectiveness of Exercise Training in People With Osteoporosis or Osteopenia Compared to Other Rehabilitation Interventions on Fear of Falling and the Number of Falls

2025· review· en· W4409653641 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Geriatric Physical Therapy · 2025
Typereview
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsParkwood InstituteLawson Health Research InstituteQueen's UniversitySt Joseph's Health CentreWestern University
Fundersnot available
KeywordsOsteopeniaMedicineCochrane LibraryFear of fallingPhysical therapyRandomized controlled trialMeta-analysisOsteoporosisPsychological interventionMEDLINEPoison controlGerontologyInjury preventionPsychiatryBone mineralSurgeryEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Fear of falling (FoF) and falls are significant concerns for community-dwelling older adults with osteoporosis or osteopenia, leading to decreased mobility and quality of life. Despite evidence suggesting the benefits of exercise training, its specific effects on the FoF and number of falls (NoF) in this population are not well-documented. This study aims to appraise research evidence on the effects of exercise training, including balance, resistance, and aerobic exercises, on the FoF and NoF in community-dwelling older adults with osteoporosis or osteopenia. METHODS: A comprehensive search was conducted on scientific databases, including EMBASE, MEDLINE, PEDRO, the Cochrane Library, Psych INFO, CINHAL, and Google Scholar, to identify relevant articles. Randomized controlled trials written in English and focusing on exercise training in older adults with osteoporosis or osteopenia were considered for inclusion in this study. Two independent authors conducted screening and reviewed articles. They extracted pertinent information, including authors' names, publication year, sample characteristics, intervention and comparison groups details, the FoF and NoF outcomes, intervention duration and dosage, and follow-up periods. We used the Cochrane Risk of Bias tool (RoB2) for the risk of bias assessment and the GRADE approach to evaluate the quality of evidence for each outcome. We calculated standardized mean difference, Incidence Rate Ratio, and 95% confidence intervals for the quantitative synthesis of the FoF and NoF. RESULTS AND DISCUSSION: We included 14 randomized controlled trials (8 for FoF, 5 for the NoF, and 1 with both outcomes) with 2797 participants. All studies but one (with some risk) had a high risk of bias. The primary sources of bias in the included studies were the measurement of outcomes and selective reporting of results. Meta-analyses demonstrated that exercise training including balance, resistance, and aerobic exercises reduced FoF measured using the Fall Efficacy Scale International (overall effect size: -2.15, 95% CI = -3.16 to -1.15, Z = -4.2, P = .001, and I 2 = 0.97) and NoF (IRR = 0.46, 95% CI: 0.14 to 0.78, Z = 2.79, P = .012, and I 2 = 96%) significantly. Exercise training may effectively reduce the FoF and fall incidence in patients with osteoporosis or osteopenia. However, the considerable variability, high risk of bias, and methodological limitations in most studies underscored the critical need for high-quality studies to inform evidence-based guidelines, optimize intervention protocols, and establish these programs' long-term effects and sustainability. CONCLUSION: Our study highlighted that exercise training including balance, resistance, and aerobic exercises can significantly decrease the FoF and NoF in older adults with osteoporosis or osteopenia. This issue supports the inclusion of tailored exercise prescriptions within fall prevention strategies for this group. Future research should aim to standardize these exercise interventions to enhance their effectiveness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.343
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.068
GPT teacher head0.431
Teacher spread0.363 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it