Anthropometric and Body Circumference Determinants for Hand Grip Strength: A Population-Based Mon-Timeline Study.

IF 1.6 Q4 GERIATRICS & GERONTOLOGY Journal of Aging Research Pub Date : 2023-01-01 DOI:10.1155/2023/6272743

Agiimaa Byambaa, Indra Altankhuyag, Otgonbayar Damdinbazar, Tsolmon Jadamba, Oyuntugs Byambasukh

{"title":"Anthropometric and Body Circumference Determinants for Hand Grip Strength: A Population-Based Mon-Timeline Study.","authors":"Agiimaa Byambaa, Indra Altankhuyag, Otgonbayar Damdinbazar, Tsolmon Jadamba, Oyuntugs Byambasukh","doi":"10.1155/2023/6272743","DOIUrl":null,"url":null,"abstract":"Background: Hand grip strength (HGS) is a tool for diagnosing sarcopenia. In this study, we examined some anthropometric and body circumference measurements as determinants for HGS.Methods: This cross-sectional study was conducted with participants (Mongolians, n = 1080, aged 18-70, mean age of 41.2 ± 13.9 years, 33.7% of men) from the \"Mon-Timeline\" cohort study. To measure HGS, a digital grip strength dynamometer was used.Results: Mean HGS in men was 40.1 ± 10.4 kg and in women was 24.5 ± 5.6 kg. Correlation analysis showed that the strongest correlation with HGS was height (r = 0.712, p < 0.001). Moreover, HGS was inversely correlated with age (r = -0.239, p < 0.001) and thigh circumference (r = -0.070, p < 0.01), while it was positively correlated with body weight (r = 0.309, p < 0.001), neck circumference (r = 0.427, p < 0.001), upper arm circumference (r = 0.108, p < 0.0001), lower arm circumference (r = 0.413, p < 0.0001), and calf circumference (r = 0.117, p < 0.0001). In the multivariate linear regression analysis (unstandardized B coefficient, 95% CI), age (-0.159, -0.188; -0.129), sex (-9.262, -10.459; -8.064), height (0.417, 0.357; 0.478), lower arm circumference (1.003, 0.736; 1.270), and calf circumference (-0.162, -0.309; -0.015) were significantly associated with HGS.Conclusions: When detecting sarcopenia using HGS, it is important to take into account variables such as body height and body circumference.","PeriodicalId":14933,"journal":{"name":"Journal of Aging Research","volume":"2023 ","pages":"6272743"},"PeriodicalIF":1.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243948/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Aging Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/6272743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Hand grip strength (HGS) is a tool for diagnosing sarcopenia. In this study, we examined some anthropometric and body circumference measurements as determinants for HGS.

Methods: This cross-sectional study was conducted with participants (Mongolians, n = 1080, aged 18-70, mean age of 41.2 ± 13.9 years, 33.7% of men) from the "Mon-Timeline" cohort study. To measure HGS, a digital grip strength dynamometer was used.

Results: Mean HGS in men was 40.1 ± 10.4 kg and in women was 24.5 ± 5.6 kg. Correlation analysis showed that the strongest correlation with HGS was height (r = 0.712, p < 0.001). Moreover, HGS was inversely correlated with age (r = -0.239, p < 0.001) and thigh circumference (r = -0.070, p < 0.01), while it was positively correlated with body weight (r = 0.309, p < 0.001), neck circumference (r = 0.427, p < 0.001), upper arm circumference (r = 0.108, p < 0.0001), lower arm circumference (r = 0.413, p < 0.0001), and calf circumference (r = 0.117, p < 0.0001). In the multivariate linear regression analysis (unstandardized B coefficient, 95% CI), age (-0.159, -0.188; -0.129), sex (-9.262, -10.459; -8.064), height (0.417, 0.357; 0.478), lower arm circumference (1.003, 0.736; 1.270), and calf circumference (-0.162, -0.309; -0.015) were significantly associated with HGS.

Conclusions: When detecting sarcopenia using HGS, it is important to take into account variables such as body height and body circumference.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

手掌握力的人体测量和身体围度决定因素:一项基于人群的非时间轴研究。

背景:手部握力(HGS)是诊断肌肉减少症的一种工具。在这项研究中，我们检查了一些人体测量和身体周长测量作为HGS的决定因素。方法:本横断面研究的参与者(蒙古人，n = 1080，年龄18-70岁，平均年龄41.2±13.9岁，男性占33.7%)来自“Mon-Timeline”队列研究。为了测量HGS，使用了数字握力测功仪。结果:男性平均HGS为40.1±10.4 kg，女性为24.5±5.6 kg。相关分析显示，与HGS相关性最强的是身高(r = 0.712, p < 0.001)。HGS与年龄(r = -0.239, p < 0.001)、大腿围(r = -0.070, p < 0.01)呈负相关，与体重(r = 0.309, p < 0.001)、颈围(r = 0.427, p < 0.001)、上臂围(r = 0.108, p < 0.0001)、下臂围(r = 0.413, p < 0.0001)、小腿围(r = 0.117, p < 0.0001)呈正相关。在多元线性回归分析中(未标准化B系数，95% CI)，年龄(-0.159，-0.188;-0.129)，性别(-9.262，-10.459;-8.064)，高度(0.417,0.357;0.478)，下臂围(1.003,0.736;1.270)，小腿围(-0.162，-0.309;-0.015)与HGS显著相关。结论:使用HGS检测肌少症时，应考虑身高、体围等变量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊