Chiu Tai-Hua, Huang Ya-Chin, Chiu Hsuan, Wu Pei-Yu, Chiou Hsin-Ying Clair, Huang Jiun-Chi, Chen Szu-Chia
Department of General Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Department of Preventive Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan.
Diagnostics (Basel). 2020 Dec 12;10(12):1081. doi: 10.3390/diagnostics10121081.
This study aimed to evaluate the performance of 11 obesity-related indices, including body mass index (BMI), waist circumference, waist-to-height ratio, waist-hip ratio, a body shape index, abdominal volume index, body adiposity index, body roundness index, conicity index, visceral adiposity index (VAI), and triglyceride glucose (TyG) index, in identifying metabolic syndrome (MetS) in adults. The information of 5000 participants was obtained from the Taiwan Biobank. Logistic regression analyses were performed to determine the associations between MetS and obesity-related indices with odds ratio (ORs). The predictive performance of the indices to identify MetS was compared using receiver operating characteristic (ROC) curves and areas under curves (AUCs). Multivariate-adjusted logistic regression showed that the ORs for MetS increased across the quartiles of each index. ROC curves analysis demonstrated that TyG index had the greatest AUC in men (AUC = 0.850) and women (AUC = 0.890). Furthermore, VAI had the greatest AUC in men (AUC = 0.867) and women (AUC = 0.925) aged 30-50 years, while TyG index had the greatest AUC in men (AUC = 0.849) and women (AUC = 0.854) aged 51-70 years. Among the studied obesity-related indices, TyG index and VAI exhibited the best performance for identifying MetS in adults. TyG index and VAI may be the relevant indices to assess MetS in clinical practice.
本研究旨在评估11种肥胖相关指标，包括体重指数（BMI）、腰围、腰高比、腰臀比、体型指数、腹部容积指数、身体脂肪指数、身体圆度指数、锥度指数、内脏脂肪指数（VAI）和甘油三酯葡萄糖（TyG）指数，在识别成年人代谢综合征（MetS）方面的表现。5000名参与者的信息来自台湾生物银行。进行逻辑回归分析以确定MetS与肥胖相关指标之间的关联及比值比（ORs）。使用受试者工作特征（ROC）曲线和曲线下面积（AUCs）比较各指标识别MetS的预测性能。多变量调整逻辑回归显示，MetS的ORs在各指标的四分位数中均升高。ROC曲线分析表明，TyG指数在男性（AUC = 0.850）和女性（AUC = 0.890）中具有最大的AUC。此外，VAI在30至50岁男性（AUC = 0.867）和女性（AUC = 0.925）中具有最大的AUC，而TyG指数在51至70岁男性（AUC = 0.849）和女性（AUC = 0.854）中具有最大的AUC。在所研究的肥胖相关指标中，TyG指数和VAI在识别成年人MetS方面表现最佳。TyG指数和VAI可能是临床实践中评估MetS的相关指标。
