■使用13项肥胖和血脂相关指标预测中国中老年人群代谢综合征(MetS)筛查和预测的最佳临界值,并确定最合适的预测因子。
■这项横断面调查的数据来自中国健康与退休纵向研究(CHARLS),其中包括9457名45-98岁的中老年人。我们检查了13个指标,包括腰围(WC),体重指数(BMI),腰高比(WHtR),内脏肥胖指数(VAI),身体形状指数(ABSI),身体圆度指数(BRI),脂质积累产物指数(LAP),锥度指数(CI),中国内脏肥胖指数(CVAI),甘油三酯-葡萄糖指数(TyG-指数)及其组合指数(TyG-BMI,TyG-WC,TyG-WHtR)。受试者工作特征曲线(ROC)用于确定老年人MetS筛查指标的有用性,并确定其临界值,灵敏度,特异性,和曲线下面积(AUC)。采用二元logistic回归分析13项肥胖相关指标与MetS的相关性。
■本研究共纳入了9457名中老年人,根据NCEPATPIII的诊断标准,研究人群的总体患病率为41.87%。根据年龄和性别,诊断为MetS的男性百分比为30.67%(45-54岁:30.95%,55-64岁:41.02%,65-74岁:21.19%,≥75岁:6.84%)。诊断为MetS的女性比例为51.38%(45-54岁:31.95%,55-64岁:39.52%,65-74岁:20.43%,≥75岁:8.10%)。Tyg相关参数的预测能力在两种性别中都更为突出。此外,LAP和CVAI也擅长预测MetS。ABSI的预测能力较差。
■在中国中老年人群中,在对混杂因素进行调整后,除ABSI外,所有指标均具有良好的预测能力.Tyg相关参数的预测能力在两种性别中都更为突出。此外,LAP和CVAI也擅长预测MetS。
To predict the optimal cut-off values for screening and predicting metabolic syndrome(MetS) in a middle-aged and elderly Chinese population using 13 obesity and lipid-related indicators, and to identify the most suitable predictors.
The data for this cross-sectional investigation came from the China Health and Retirement Longitudinal
Study (CHARLS), including 9457 middle-aged and elderly people aged 45-98 years old. We examined 13 indicators, including waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product index (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride-glucose index (TyG-index) and their combined indices (TyG-BMI, TyG-WC, TyG-WHtR). The receiver operating characteristic curve (ROC) was used to determine the usefulness of indicators for screening for MetS in the elderly and to determine their cut-off values, sensitivity, specificity, and area under the curve (AUC). Association analysis of 13 obesity-related indicators with MetS was performed using binary logistic regression analysis.
A total of 9457 middle-aged and elderly Chinese were included in this
study, and the overall prevalence of the
study population was 41.87% according to the diagnostic criteria of NCEP ATP III. According to age and gender, the percentage of males diagnosed with MetS was 30.67% (45-54 years old: 30.95%, 55-64 years old: 41.02%, 65-74 years old: 21.19%, ≥ 75 years old: 6.84%). The percentage of females diagnosed with MetS was 51.38% (45-54 years old: 31.95%, 55-64 years old: 39.52%, 65-74 years old: 20.43%, ≥ 75 years old: 8.10%). The predictive power of Tyg-related parameters was more prominent in both sexes. In addition, LAP and CVAI are also good at predicting MetS. ABSI had a poor prediction ability.
Among the middle-aged and elderly population in China, after adjusting for confounding factors, all the indicators except ABSI had good predictive power. The predictive power of Tyg-related parameters was more prominent in both sexes. In addition, LAP and CVAI are also good at predicting MetS.