Abstract:Background: Previous studies have found a significant positive association between obesity, visceral fat accumulation and hyperuricemia. The purpose of the study was to explore the association between the ratio of visceral fat area to leg muscle mass(VFA-to-LMM) and hyperuricemia, and verify the role of sex differences in the association.Methods:In this cross-sectional study, a total of 3393 (43.3% for men) participants from Tianjin Union Medical Center-Health Management Center were recruited. Body composition… Show more
“…The soles of feet and palms of hands were wiped separately with clean water to ensure full contact with the electrodes before the measurement. Detailed steps on body composition measurement can be found in our previous study 18 . The indicator we were interested in was the skeletal muscle mass of different parts of the body, including total body skeletal muscle mass, appendicular skeletal muscle mass, and trunk skeletal muscle mass.…”
Section: Methodsmentioning
confidence: 99%
“…Detailed steps on body composition measurement can be found in our previous study. 18 The indicator we were interested in was the skeletal muscle mass of different parts of the body, including total body skeletal muscle mass, appendicular skeletal muscle mass, and trunk skeletal muscle mass. The skeletal muscle mass index (SMI) as an independent variable in the study was defined as skeletal muscle mass divided by the square of height, including total SMI, leg skeletal muscle mass index (LSMI), arm skeletal muscle mass index (ASMI), and trunk skeletal muscle mass index (TSMI).…”
Objective: The aims of this study were to determine the association of skeletal muscle mass with three cardiovascular risk factors and explore a simple and clinically feasible indicator for identifying high-risk groups of cardiovascular diseases in occupational sedentary population. Methods: We recruited 7316 occupational sedentary participants older than 18 years from the Health Management Center of Tianjin Union Medical Center. Age-adjusted logistic regression was used to analyze the association between skeletal muscle mass index (SMI) and cardiovascular risk factors. Results: There were significant positive associations between SMI, especially arm SMI, and cardiovascular risk factors in both male and female subjects (odds ratio, 1.28 to 5.02; P < 0.001). Conclusions: Our findings suggest that measurements of skeletal muscle mass, particularly in the arms, may help identify individuals at high risk for cardiovascular disease in an occupationally sedentary population.
“…The soles of feet and palms of hands were wiped separately with clean water to ensure full contact with the electrodes before the measurement. Detailed steps on body composition measurement can be found in our previous study 18 . The indicator we were interested in was the skeletal muscle mass of different parts of the body, including total body skeletal muscle mass, appendicular skeletal muscle mass, and trunk skeletal muscle mass.…”
Section: Methodsmentioning
confidence: 99%
“…Detailed steps on body composition measurement can be found in our previous study. 18 The indicator we were interested in was the skeletal muscle mass of different parts of the body, including total body skeletal muscle mass, appendicular skeletal muscle mass, and trunk skeletal muscle mass. The skeletal muscle mass index (SMI) as an independent variable in the study was defined as skeletal muscle mass divided by the square of height, including total SMI, leg skeletal muscle mass index (LSMI), arm skeletal muscle mass index (ASMI), and trunk skeletal muscle mass index (TSMI).…”
Objective: The aims of this study were to determine the association of skeletal muscle mass with three cardiovascular risk factors and explore a simple and clinically feasible indicator for identifying high-risk groups of cardiovascular diseases in occupational sedentary population. Methods: We recruited 7316 occupational sedentary participants older than 18 years from the Health Management Center of Tianjin Union Medical Center. Age-adjusted logistic regression was used to analyze the association between skeletal muscle mass index (SMI) and cardiovascular risk factors. Results: There were significant positive associations between SMI, especially arm SMI, and cardiovascular risk factors in both male and female subjects (odds ratio, 1.28 to 5.02; P < 0.001). Conclusions: Our findings suggest that measurements of skeletal muscle mass, particularly in the arms, may help identify individuals at high risk for cardiovascular disease in an occupationally sedentary population.
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