Original Article
Relationship between handgrip strength body mass index and metabolic syndrome in community elderly residents
Wang Yingfang, Cao Lu, Chen Feng, Xu Shuai, Chen Feng, Guo Yan, Wang Yan, Wang Difei
Published 2020-01-20
Cite as Int J Endocrinol Metab, 2020, 40(1): 5-9,15. DOI: 10.3760/cma.j.issn.1673-4157.2020.01.002
Abstract
ObjectiveTo investigate the relationship between handgrip strength body mass index and metabolic syndrome and its components.
MethodsFrom May to October 2017, a total of 3 598 community residents over 60 years old who had health records and underwent physical examination in nine community health service centers in Shenyang were recruited. All individuals received questionnaires, physical tests, handgrip strength measurement and laboratory tests. Spearman correlation analysis, logistic regression and receiver operating characteristic (ROC) curve were used to analyze the correlation between handgrip strength body mass index and metabolic syndrome.
ResultsHandgrip strength body mass index was negatively correlated with metabolic syndrome[male(r=-0.213, P=0.000), female(r=-0.236, P=0.000)]. Handgrip strength body mass index were divided into quartile for different genders. After adjustment for potential confounders (such as age, nationality, educational level, smoking, drinking), the risks of metabolic syndrome increased with the decrease of handgrip strength body mass index. Compared with individuals with handgrip strength body mass > P75, the relative risk for metabolic syndrome was 3.714 (95% CI: 2.604-5.298, P<0.01) in individuals with handgrip strength body mass <P25, 2.816 (95% CI: 1.997-3.969, P<0.01) in individuals withP25-P50, and 1.655 (95% CI: 1.169-2.343, P=0.004) in individuals with P50-P75 in male, respectively, while the relative risk of metabolic syndrome was 3.000 (95% CI: 2.356-3.821, P<0.01) in individuals with handgrip strength body mass <P25, 2.013 (95% CI: 1.592-2.545, P<0.01) in individuals withP25-P50, and 1.885 (95% CI: 1.492-2.381, P<0.01) in individuals withP50-P75 in female, respectively. The area under the ROC curve was 0.626 (0.595-0.657) in male, and 0.614 (0.591-0.637) in female; the optimal cut-off point for the diagnosis of metabolic syndrome was 0.443 for male and 0.351 for female.
ConclusionsThere is a significant negative correlation between handgrip strength body mass index and the risk of metabolic syndrome and its components. Assessment of handgrip strength body mass index may provide evidence for the prevention and early diagnosis of metabolic syndrome.
Key words:
Handgrip strength body mass index; Metabolic syndrome
Contributor Information
Wang Yingfang
Department of Geriatric Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
Cao Lu
Department of Public Health, China Medical University, Shenyang 110013, China
Chen Feng
Department of Public Health, China Medical University, Shenyang 110013, China
Xu Shuai
Department of Public Health, China Medical University, Shenyang 110013, China
Chen Feng
Department of Geriatric Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
Guo Yan
Department of Geriatric Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
Wang Yan
Luguan Community Health Service Center, Tiexi Area of Shenyang, Shenyang 110020, China
Wang Difei
Department of Geriatric Endocrinology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
