{"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":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>This cross-sectional study was conducted with participants (Mongolians, <i>n</i> = 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.</p><p><strong>Results: </strong>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 (<i>r</i> = 0.712, <i>p</i> < 0.001). Moreover, HGS was inversely correlated with age (<i>r</i> = -0.239, <i>p</i> < 0.001) and thigh circumference (<i>r</i> = -0.070, <i>p</i> < 0.01), while it was positively correlated with body weight (<i>r</i> = 0.309, <i>p</i> < 0.001), neck circumference (<i>r</i> = 0.427, <i>p</i> < 0.001), upper arm circumference (<i>r</i> = 0.108, <i>p</i> < 0.0001), lower arm circumference (<i>r</i> = 0.413, <i>p</i> < 0.0001), and calf circumference (<i>r</i> = 0.117, <i>p</i> < 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.</p><p><strong>Conclusions: </strong>When detecting sarcopenia using HGS, it is important to take into account variables such as body height and body circumference.</p>","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.