Department of Public Health, Xuzhou Medical College, China.
J Nutr Health Aging. 2010 Nov;14(9):782-5. doi: 10.1007/s12603-010-0106-x.
Anthropometric indices to obesity were evaluated as predictors of metabolic syndrome risk factors. Our purpose was to explore an optimal or more reliable anthropometric indicator and optimal cut-off points for obesity on metabolic syndrome in Chinese adults.
The survey was conducted involving 2947 participants, aged 20 or above with cross-sectional study of population. The predictive validity and optimal cut-off values were analyzed by receiver operating characteristic (ROC) curves, area under curve (AUC) and the largest Youden's index (sensitivity + specificity - 1) by gender group, respectively. Kappa value showed diagnostic consistency.
According to the criteria of CDS 2004, IDF 2005 and AHA/NHLBI 2005, the prevalence of metabolic syndrome was 10.32%, 9.64% and 16.12% respectively, which indicated that the prevalence was higher in men than in women and increased with age (P < 0.05). The BMI, WC, WHR and WHtR in metabolic syndrome patients were greater than those in healthy volunteers and the indices in men were higher than those in women. With adjusted age and gender, the partial correlation coefficient for BMI-WC, BMI-WHR and BMI-WHtR was 0.7991, 0.5278 and 0.8196, respectively (P < 0.05). The area under curves (AUCs) of receiver operating characteristic (ROC) curves for WHtR was larger (P < 0.05) than that for WC and WHR. The cut-point of WHtR was approximately 0.5 in both genders with a satisfactory balance between sensitivity and specificity, where the Kappa (k) value for WHtR-BMI was higher than that for WHtR-WHR, and WHtR-WC.
The results indicated that WHtR might be an optimal anthropometric predictor of metabolic syndrome risk factors and the cut-point of WHtR was approximately 0.50 in both genders of Chinese adults.
评估肥胖的人体测量学指标作为代谢综合征危险因素的预测因子。我们的目的是探索一种最佳或更可靠的人体测量指标，以及在中国成年人中用于肥胖的代谢综合征的最佳截断点。
本研究为横断面人群研究，共纳入 2947 名年龄在 20 岁及以上的参与者。通过性别组的受试者工作特征（ROC）曲线、曲线下面积（AUC）和最大 Youden 指数（灵敏度+特异性-1）分析预测的有效性和最佳截断值。Kappa 值表示诊断一致性。
根据 CDS 2004、IDF 2005 和 AHA/NHLBI 2005 的标准，代谢综合征的患病率分别为 10.32%、9.64%和 16.12%，表明男性患病率高于女性，且随年龄增长而增加（P < 0.05）。代谢综合征患者的 BMI、WC、WHR 和 WHtR 大于健康志愿者，且男性的指标高于女性。在调整年龄和性别后，BMI-WC、BMI-WHR 和 BMI-WHtR 的偏相关系数分别为 0.7991、0.5278 和 0.8196（P < 0.05）。WHtR 的受试者工作特征（ROC）曲线下面积（AUC）大于 WC 和 WHR（P < 0.05）。WHtR 在两性中的截断点约为 0.5，灵敏度和特异性之间的平衡较好，其中 WHtR-BMI 的 Kappa（k）值高于 WHtR-WHR 和 WHtR-WC。
结果表明，WHtR 可能是代谢综合征危险因素的最佳人体测量预测因子，在中国成年人的两性中，WHtR 的截断点约为 0.50。
