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Sex-specific Associations Between Total and Regional Fat-to-muscle Mass Ratio and Cardiometabolic Risk: Findings from the China National Health Survey

Zhiming Lu,Yaoda Hu,Xingming Chen,Qiong Ou,Yawen Liu,Tan Xu,Ji Tu, Ang Li,Binbin Lin,Qihang Liu, Tianshu Xi, Weihao Wang, Haibo Huang, Da Xu, Zhili Chen, Zichao Wang,Huijing He,Guangliang Shan

Nutrition journal(2024)

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Abstract
The fat-to-muscle mass ratio (FMR), integrating the antagonistic effects of fat and muscle mass, has been suggested as a valuable indicator to assess cardiometabolic health independent of overall adiposity. However, the specific associations of total and regional FMR with cardiometabolic risk are poorly understood. We aimed to examine sex-specific associations of total and regional FMR with single and clustered cardiometabolic risk factors (CRFs). 13,505 participants aged 20 years and above were included in the cross-sectional study. Fat mass and muscle mass were assessed using a bioelectrical impedance analysis device. FMR was estimated as fat mass divided by muscle mass in corresponding body parts (whole body, arm, leg, and trunk). Clustered CRFs was defined as the presence of two or more risk factors, including hypertension, elevated blood glucose, dyslipidemia, insulin resistance (IR), and hyperuricemia. IR was assessed by the triglyceride glucose (TyG) index. Multivariable logistic regression models were applied to explore the associations of FMR in the whole body and body parts with single and clustered CRFs. The odds ratios (ORs) increased significantly for all single and clustered CRFs with the per quartile increase of total and regional FMR in both sexes (P for trend < 0.001), following adjustment for confounders. Among the regional parts, FMRs of the legs presented the strongest associations for clustered CRFs in both men and women, with adjusted OR of 8.54 (95
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Key words
Fat-to-muscle mass ratio,Obesity,Cardiometabolic risk,Muscle mass,Fat mass
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