Evidence map›Paper›PMID 41497267›Full record

SynthesisPeerJ2026

The impact of wearable resistance training on strength, speed, and agility: a systematic review and meta-analysis.

Shuairan Li, Qiwei Wang, Yingying Cao, Xiaoli Huang, Yuanyuan Luo, Jing Mi

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Shuairan Li *International Joint Laboratory on High Performance Sports Research, Beijing Sport University, Beijing, China.
Qiwei Wang *Moray House School of Education and Sport, The University of Edinburgh, Edinburgh, United Kingdom.
Yingying CaoSchool of Sports, Xian University, Xian, Shanxi, China.
Xiaoli HuangInternational Joint Laboratory on High Performance Sports Research, Beijing Sport University, Beijing, China.
Yuanyuan LuoDazhou Vocational College of Traditional Chinese Medicine, Dazhou, Sichuan, China.
Jing MiInternational Joint Laboratory on High Performance Sports Research, Beijing Sport University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To conduct a systematic assessment of the impact of wearable resistance training (WRT) on muscular strength, speed, and agility, while examining the influence of critical training parameters as moderating factors. Methods: A systematic review was undertaken to identify eligible studies. Literature searches were conducted in PubMed, Web of Science, EBSCO databases from inception to October 31st, 2025. This study employed the Cochrane Collaboration tool built into Review Manager 5.4 for literature quality assessment, and utilized Stata version 18.0 for meta-analysis, including pooled effect size calculation, subgroup analysis, and publication bias assessment. Results: The Meta-analysis encompassed 19 studies with a total of 233 participants. It is revealed that WRT produced significant improvements in jumping power (standardized mean difference (SMD) = -0.60; 95% CI [-1.07 to -0.14]; Conclusion: WRT effectively enhances jumping power and agility. Although it contributes to some improvement in speed and maximal strength, the effect is not statistically significant. Further high-quality studies are needed in the future to validate these findings.

Indexed as

Athletic PerformanceMuscle StrengthResistance TrainingWearable Electronic DevicesHumansAgilityPerformanceSpeedStrengthWearable resistance training

Identifiers

PMID41497267
PMCPMC12767494

What OpenQuestion holds

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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.