Evidence map›Paper›PMID 41822921›Full record

SynthesisFrontiers in public health2026

Effectiveness of exercise based on wearable electronic devices on lower limb strength and balance in older adults: a systematic review and meta-analysis.

Yaguang Li, Qingze Li, Xiaoxu Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yaguang LiPhysical Education College, Jiamusi University, Jiamusi, China.
Qingze LiCollege of Sports and Health, Shenyang Sport University, Shenyang, China.
Xiaoxu ChenFaculty of Chinese Medicine Science Guangxi University of Chinese Medicine, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This systematic review and meta-analysis aimed to evaluate the effectiveness of wearable electronic device-based exercise interventions on lower limb strength and balance in older adults. Methods: A systematic search was conducted following PRISMA guidelines to evaluate the impact of exercise based on wearable electronic devices on health behaviors (such as muscle strength, balance, endurance, mental health, and cognitive function) in older adults. This meta-analysis included 13 two-arm, between-group studies and 4 single-arm, within-group studies, involving a total of 611 participants. The inclusion of single-arm studies in the meta-analysis was based on the limited availability of two-arm studies and to maximize the available evidence for understanding the broader effects of the intervention. Results: The results show that in the meta-analysis of two-arm controlled studies, exercise based on wearable electronic devices significantly improved lower limb strength (SMD = -0.60; 95% CI [-1.15, -0.05]; Conclusion: The significant improvements in lower limb strength and balance, as key factors in older adults' health, may have a positive impact on physical activity function, but falls were not directly meta-analyzed in this study. The findings support the potential of wearable electronic device-based exercise to improve specific aspects of health in older adults, but further studies are needed to confirm its broader impact on fall prevention and other health outcomes. Systematic review registration: PROSPERO, CRD420251273186.

Indexed as

ExerciseExercise TherapyLower ExtremityMuscle StrengthPostural BalanceWearable Electronic DevicesAgedDigital HealthHumansexercisehealtholder adultsphysical activitywearable electronic devices

Identifiers

PMID41822921
PMCPMC12978260

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.