Critical Care and Respiratory Therapy, Taichung Veterans General Hospital, Taichung 407, Taiwan.
Nutr Res. 2010 Sep;30(9):585-93. doi: 10.1016/j.nutres.2010.08.007.
Body mass index (BMI) has been reported to be related to the risk of type 2 diabetes and hypertension. However, waist circumference or waist-to-hip ratio (WHR) can better reflect the accumulation of intra-abdominal fat and might be a better predictor than BMI of the risk of type 2 diabetes and hypertension. We hypothesized that other anthropometric indices rather than BMI could more accurately predict the risk of type 2 diabetes and hypertension. The purpose of this study was to determine which anthropometric index can be a better predictor for forecasting the risk of type 2 diabetes and hypertension in the Taiwanese population. We conducted a cross-sectional study and reviewed data derived from the Nutrition and Health Survey in Taiwan, 1993-1996. The subjects were 2545 men and 2562 women, aged 18 to 96 years. Receiver operating characteristic curve analysis was used to measure the predictive diabetic and hypertensive performance of each anthropometric measurement based on the area under the curve (AUC). Among 5 anthropometric indices, WHR had a significantly adjusted odds ratio (OR) and the highest AUC (0.72 for men and 0.80 for women) to predict the risk of type 2 diabetes. Although BMI had a significantly adjusted OR, the AUC was not the highest among the 5 anthropometric indices used to predict the risk of hypertension. Our findings suggested that WHR is a better anthropometric index for predicting the risk of type 2 diabetes, and the optimal cutoff values of WHR are considered as 0.89 for men and 0.82 for women in the Taiwanese population.
体重指数（BMI）已被报道与 2 型糖尿病和高血压的风险相关。然而，腰围或腰臀比（WHR）可以更好地反映腹内脂肪的堆积，并且可能比 BMI 更好地预测 2 型糖尿病和高血压的风险。我们假设其他人体测量指标而不是 BMI 可以更准确地预测 2 型糖尿病和高血压的风险。本研究的目的是确定哪种人体测量指标可以更准确地预测台湾人群 2 型糖尿病和高血压的风险。我们进行了一项横断面研究，回顾了 1993-1996 年台湾营养与健康调查的数据。研究对象为 2545 名男性和 2562 名女性，年龄在 18 至 96 岁之间。我们使用接收者操作特征曲线分析来衡量每个人体测量指标基于曲线下面积（AUC）预测糖尿病和高血压风险的能力。在 5 个人体测量指标中，WHR 具有显著调整后的比值比（OR）和最高 AUC（男性为 0.72，女性为 0.80）来预测 2 型糖尿病的风险。尽管 BMI 具有显著调整后的 OR，但 AUC 不是用于预测高血压风险的 5 个人体测量指标中最高的。我们的研究结果表明，WHR 是预测 2 型糖尿病风险的更好的人体测量指标，在台湾人群中，WHR 的最佳截断值被认为男性为 0.89，女性为 0.82。
