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

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 in...

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Autores principales: Wen, Yu, Liu, Tiancong, Ma, Changcheng, Fang, Jianwei, Zhao, Zhiying, Luo, Mengrui, Xia, Yang, Zhao, Yuhong, Ji, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751936/
https://www.ncbi.nlm.nih.gov/pubmed/36532558
http://dx.doi.org/10.3389/fnut.2022.996645
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author Wen, Yu
Liu, Tiancong
Ma, Changcheng
Fang, Jianwei
Zhao, Zhiying
Luo, Mengrui
Xia, Yang
Zhao, Yuhong
Ji, Chao
author_facet Wen, Yu
Liu, Tiancong
Ma, Changcheng
Fang, Jianwei
Zhao, Zhiying
Luo, Mengrui
Xia, Yang
Zhao, Yuhong
Ji, Chao
author_sort Wen, Yu
collection PubMed
description 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].
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spelling pubmed-97519362022-12-16 Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review Wen, Yu Liu, Tiancong Ma, Changcheng Fang, Jianwei Zhao, Zhiying Luo, Mengrui Xia, Yang Zhao, Yuhong Ji, Chao Front Nutr Nutrition 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]. Frontiers Media S.A. 2022-12-01 /pmc/articles/PMC9751936/ /pubmed/36532558 http://dx.doi.org/10.3389/fnut.2022.996645 Text en Copyright © 2022 Wen, Liu, Ma, Fang, Zhao, Luo, Xia, Zhao and Ji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Wen, Yu
Liu, Tiancong
Ma, Changcheng
Fang, Jianwei
Zhao, Zhiying
Luo, Mengrui
Xia, Yang
Zhao, Yuhong
Ji, Chao
Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review
title Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review
title_full Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review
title_fullStr Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review
title_full_unstemmed Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review
title_short Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review
title_sort association between handgrip strength and metabolic syndrome: a meta-analysis and systematic review
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751936/
https://www.ncbi.nlm.nih.gov/pubmed/36532558
http://dx.doi.org/10.3389/fnut.2022.996645
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