背景:脂肪与肌肉质量比(FMR),整合脂肪和肌肉的拮抗作用,已被认为是评估心脏代谢健康的有价值的指标,而与总体肥胖无关。然而,总体和区域FMR与心脏代谢风险之间的具体关联知之甚少.我们旨在研究总体和区域FMR与单个和聚集的心脏代谢风险因素(CRF)的性别特异性关联。
方法:13,505名20岁及以上的参与者被纳入横断面研究。使用生物电阻抗分析装置评估脂肪质量和肌肉质量。FMR估计为脂肪量除以相应身体部位的肌肉量(全身,手臂,腿,和树干)。聚集的CRF被定义为存在两个或更多的风险因素,包括高血压,血糖升高,血脂异常,胰岛素抵抗(IR),和高尿酸血症。通过甘油三酯葡萄糖(TyG)指数评估IR。应用多变量逻辑回归模型来探索全身和身体部位的FMR与单个和聚集的CRF的关联。
结果:所有单个和聚集的CRF的比值比(OR)显着增加,男女总和区域FMR的每四分位数增加(P<0.001),在对混杂因素进行调整后。在区域部分中,在男性和女性中,腿部的FMR对聚集的CRF表现出最强的关联,调整后的OR为8.54(95%置信区间(CI):7.12-10.24)和4.92(95%CI:4.24-5.71),分别。在不同身体部位的年龄和FMR之间确定了显着的相互作用(P为相互作用<0.05),以及不同地区聚集的CRF的BMI状态和FMR之间。受限三次样条显示不同身体部位的FMR与两性聚集的CRF之间存在显著的非线性关系(P表示非线性<0.05)。
结论:在中国普通人群中,全身和不同区域的FMR与单个和聚集的CRF显著相关。与老年人相比,年轻人的FMR和聚集的CRF之间的关联更为明显。
BACKGROUND: 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).
METHODS: 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.
RESULTS: 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% confidence interval (CI): 7.12-10.24) and 4.92 (95% CI: 4.24-5.71), respectively. Significant interactions (P for interaction < 0.05) were identified between age and FMRs across different body parts, as well as between BMI status and FMRs in different regions for clustered CRFs. Restricted cubic splines revealed significant non-linear relationships between FMRs of different body parts and clustered CRFs in both sexes (P for nonlinear < 0.05).
CONCLUSIONS: FMRs in the whole body and different regions were significantly associated with single and clustered CRFs in the general Chinese population. The association between FMR and clustered CRFs was more pronounced in youngers than in the elderly.