Evidence map›Paper›PMID 36532558›Full record

SynthesisFrontiers in nutrition2022

Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review.

Yu Wen, Tiancong Liu, Changcheng Ma, Jianwei Fang, Zhiying Zhao, Mengrui Luo, Yang Xia, Yuhong Zhao, Chao Ji

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
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  13. Isometric Handgrip Training and Cardiovascular Risk Modulation: State of the Art.Journal of cardiovascular development and disease · 2026
    Review
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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

9 authors.

Yu WenKey Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning, China.
Tiancong LiuDepartment of Otorhinolaryngology - Head and Neck Surgery, Shengjing Hospital of China Medical University, Shenyang, China.
Changcheng MaDepartment of Clinical Laboratory, Shengjing Hospital of China Medical University, Shenyang, China.
Jianwei FangClinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
Zhiying ZhaoKey Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning, China.
Mengrui LuoKey Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning, China.
Yang XiaKey Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning, China.
Yuhong ZhaoKey Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning, China.
Chao JiKey Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although muscle strength has been reported to be associated with metabolic syndrome (MetS), the association is still controversial. Therefore, the purpose of this meta-analysis was to identify the association between handgrip strength (HGS) and MetS. Methods: Original research studies involving HGS and MetS from database inception to 20 May 2022 were selected from PubMed, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang databases, and Chinese Biomedical Document Service System. The odds ratios (ORs) with 95% confidence intervals (CIs) of MetS for HGS were calculated using a random-effects model. A dose-response analysis was performed. Subgroup analysis and meta-regression were also conducted. Results: Thirty effect sizes (reported in 19 articles) with a total of 43,396 participants were included in this meta-analysis. All studies were considered to be of moderate-to-good quality. An inverse association between HGS (low vs. high) with MetS was shown (OR: 2.59, 95% CI: 2.06-3.25). Subgroup analyses demonstrated the pooled ORs of relative HGS (HGS/weight), relative HGS (HGS/BMI), and absolute HGS were 2.97 (95% CI: 2.37-3.71), 2.47 (95% CI: 1.08-5.63), and 1.34 (95% CI: 1.06-1.68), respectively. Dose-response analysis revealed a significant linear dose-response relationship between relative HGS (HGS/weight) and MetS in observational studies (0.1 HGS/weight: OR, 0.68; 95% CI: 0.62-0.75). Univariate meta-regression analysis indicated that country status, measuring tools of HGS, components of MetS, and diagnosed criteria of MetS explained 16.7%, 26.2%, 30.1%, and 42.3% of the tau-squared in the meta-regression, respectively. Conclusion: The results of the current meta-analysis indicated that lower HGS is associated with a higher risk of MetS. A linear dose-response association between lower relative HGS (HGS/weight) and increased prevalence of MetS was found. Accordingly, a lower HGS is a significant predictor of MetS. Systematic review registration: [https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021276730].

Indexed as

absolute HGSdose–response analysismeta-analysismetabolic syndromerelative HGSsystematic review

Identifiers

PMID36532558
PMCPMC9751936

What OpenQuestion holds

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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 OpenQuestion graph.