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体脂和肌肉与彝族正常体重和超重/肥胖人群的代谢不健康表型相关:中国西南地区的一项横断面研究。

Body fat and muscle were associated with metabolically unhealthy phenotypes in normal weight and overweight/obesity in Yi people: A cross-sectional study in Southwest China.

机构信息

School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

Front Public Health. 2022 Oct 6;10:1020457. doi: 10.3389/fpubh.2022.1020457. eCollection 2022.

Abstract

This study aimed to determine the association between the absolute mass, distribution, and relative ratio of body fat and muscle with the metabolically unhealthy (MU) phenotypes in normal weight and overweight/obesity in Yi people in China. The cross-sectional data from the Yi Migrants Study was used, which included 3,053 Yi people aged 20-80 years from the rural and urban sets. Participants were classified according to body mass index and metabolic status. Body composition including body fat percentage (BFP), fat mass index (FMI), visceral fat grade (VFG), muscle mass index (MMI), and muscle/fat ratio (M/F) were measured by bioelectrical impedance analysis. Restricted cubic spline and logistics regression models were used to test the associations between body composition parameters with MU phenotypes. Receiver-operating characteristic curves (ROC) were used to analyze the predictive value of MU phenotypes. Among the normal weight and overweight/obesity, 26.31% (497/1,889) and 52.15% (607/1,164) were metabolically unhealthy. Stratified by BMI, covariance analysis showed higher body fat (BFP, FMI, and VFG) and MMI in MU participants than in healthy participants. BFP, FMI, VFG, and MMI were positively associated with MU phenotypes both in normal weight and overweight/obesity after adjustment. M/F was significantly lower than MU participants and was negatively associated with MU phenotypes. BFP, FMI, VFG, and M/F could better predict MU phenotypes than BMI. We concluded that BFP, FMI, and VFG were positively associated with MU phenotypes, while M/F was negatively associated with MU phenotypes across the BMI categories in Yi people. Body fat and muscle measurement could be a valuable approach for obesity management.

摘要

本研究旨在探讨中国彝族人群中正常体重和超重/肥胖者体脂肪绝对量、分布和相对比例与代谢不健康(MU)表型之间的关系。本研究使用了彝族移民研究的横断面数据,该研究包括来自农村和城市组的 3053 名年龄在 20-80 岁的彝族成年人。参与者根据体重指数和代谢状况进行分类。通过生物电阻抗分析测量体成分,包括体脂肪百分比(BFP)、脂肪质量指数(FMI)、内脏脂肪等级(VFG)、肌肉质量指数(MMI)和肌肉/脂肪比(M/F)。使用受限立方样条和逻辑回归模型检验体成分参数与 MU 表型之间的关联。使用受试者工作特征曲线(ROC)分析 MU 表型的预测价值。在正常体重和超重/肥胖者中,26.31%(497/1889)和 52.15%(607/1164)为代谢不健康。按 BMI 分层,协方差分析显示 MU 组参与者的体脂肪(BFP、FMI 和 VFG)和 MMI 高于健康组。在正常体重和超重/肥胖者中,BFP、FMI、VFG 和 MMI 调整后均与 MU 表型呈正相关。M/F 显著低于 MU 组参与者,与 MU 表型呈负相关。BFP、FMI、VFG 和 M/F 比 BMI 能更好地预测 MU 表型。我们的结论是,在彝族人群中,BFP、FMI 和 VFG 与 MU 表型呈正相关,而 M/F 与 MU 表型呈负相关,这与 BMI 类别无关。体脂肪和肌肉测量可能是肥胖管理的一种有价值的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3141/9582532/d515f7b1e589/fpubh-10-1020457-g0001.jpg

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