Sunyue Ye1,2, Chaonan Zhu1,2, Chen Wei1,2, Min Yang1,2, Weifang Zheng3, Da Gan1,2, Shankuan Zhu1,2. 1. Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China. 2. Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China. 3. Red Cross Hospital of Lanxi City, Lanxi, Zhejiang, China.
Abstract
OBJECTIVE: The present study investigated the associations of body composition, including skeletal muscle and fat mass, with blood pressure (BP) and hypertension. METHODS: Data from 3,130 participants aged 18 to 80 years were analyzed. Body composition and total skeletal muscle (TSM) were measured or calculated based on dual-energy x-ray absorptiometry. Multivariate linear and logistic regression models were used to analyze the associations of TSM, body fat percentage, android to gynoid fat ratio, and leg and arm lean body mass (LBM) with BP and hypertension. The Wald test was used to estimate the differences in the coefficients. RESULTS: TSM indices, body fat percentage, and android to gynoid fat ratio were significantly associated with higher odds ratio for prehypertension and hypertension, except for TSM/weight, after controlling for potential confounders. The standardized beta coefficients of arm LBM indices for systolic and diastolic BP were higher than relevant indices of leg LBM. CONCLUSIONS: Different indices of TSM, especially in arm LBM, were all positively associated with elevated BP, prehypertension, and hypertension in Chinese adults, after considering potential confounding factors, including body fat and fat distribution. Future longitudinal studies are warranted to confirm our findings.
OBJECTIVE: The present study investigated the associations of body composition, including skeletal muscle and fat mass, with blood pressure (BP) and hypertension. METHODS: Data from 3,130 participants aged 18 to 80 years were analyzed. Body composition and total skeletal muscle (TSM) were measured or calculated based on dual-energy x-ray absorptiometry. Multivariate linear and logistic regression models were used to analyze the associations of TSM, body fat percentage, android to gynoid fat ratio, and leg and arm lean body mass (LBM) with BP and hypertension. The Wald test was used to estimate the differences in the coefficients. RESULTS: TSM indices, body fat percentage, and android to gynoid fat ratio were significantly associated with higher odds ratio for prehypertension and hypertension, except for TSM/weight, after controlling for potential confounders. The standardized beta coefficients of arm LBM indices for systolic and diastolic BP were higher than relevant indices of leg LBM. CONCLUSIONS: Different indices of TSM, especially in arm LBM, were all positively associated with elevated BP, prehypertension, and hypertension in Chinese adults, after considering potential confounding factors, including body fat and fat distribution. Future longitudinal studies are warranted to confirm our findings.
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