Evidence map›Paper›PMID 41122235›Full record

SynthesisPeerJ2025

Effects of exercise intervention on falls and balance function in older adults: a systematic review and meta-analysis.

Haoran Yu, Jianwei Zhong, Min Li, Shuainan Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Haoran YuCollege of Physical Education, JiangXi Normal University, Nanchang, China.
Jianwei ZhongCollege of Physical Education, JiangXi Normal University, Nanchang, China.
Min LiCollege of Physical Education, JiangXi Normal University, Nanchang, China.
Shuainan ChenCollege of Physical Education, JiangXi Normal University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically review the effects of an exercise intervention on falls and balance function in older adults (aged > 60 years) without diagnosed diseases. Methods: PubMed, Web of Science, Embase, Cochrane Library, and CNKI databases were searched for randomized controlled trials about exercise intervention on falls and balance function in older adults. Use Review Manager 5.4 to test the risk bias in the included literature, and use Stata17 for publication bias test, sensitivity analysis, combining effect sizes, forest plots, and subgroup analysis. Results: A total of 37 randomized controlled trials were included, and meta-analysis showed that after the exercise intervention in the intervention group, there was a significant increase in the Modified Fall Efficacy Scale (MFES) score (g = 1.01, 95% confidence interval (CI) [0.63-1.40], Conclusion: Exercise intervention can enhance fall efficacy, reduce the number of falls, and improve balance function in older adults, and have a certain preventive effect on falls. Single exercise time, exercise frequency and exercise cycle are important factors affecting the effectiveness of exercise intervention. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42024590937.

Indexed as

Accidental FallsExerciseExercise TherapyPostural BalanceAgedAged, 80 and overFemaleHumansMiddle AgedRandomized Controlled Trials as TopicBalance functionExercise interventionFallsMeta-analysisOlder adults

Identifiers

PMID41122235
PMCPMC12536800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.