Mirzaei Masoud, Khajeh Mohammad
Department of Statistics and Epidemiology, Yazd Cardiovascular Research Centre, Shahid SadoughiUniversity, Yazd, Iran.
Department of Statistics and Epidemiolog, Faculty of Health, Shahid Sadoughi University, Yazd, Iran.
Diabetes Metab Syndr. 2018 Sep;12(5):677-682. doi: 10.1016/j.dsx.2018.04.026. Epub 2018 Apr 13.
The purpose of this study was to determine the best anthropometric index and calculate the cut-off point for each anthropometric index in predicting the risk of type II diabetes in the population of Yazd city in Iran.
The present analytical cross-sectional study was performed using the data from Yazd Health Study (YaHS) with a sample size of 9293. All required data including anthropometric indices BMI, WC, WHR, and WHtR were extracted from the YAHS questionnaire. The ROC curve was employed to compare the predictive power of each anthropometric index in the risk of developing the type II diabetes.
WHtR in both genders had better predictive power for the risk of type II diabetes (AUC = 0.692 for males and AUC = 0.708 for females), and BMI showed a weaker predictive power (AUC = 0.603 for males and AUC = 0.632 for females), WC and WHR also revealed similar predictive power in the risk of type II diabetes. The cut-off point of BMI for predicting the risk of diabetes was almost identical in both genders (26.2 in males and 25.9 in females), the cut-off point of WC (91 cm), and WHtR (0.56) in males was lower than in the females (96 cm for WC and 0.605 for WHtR). The cut-off point of WHR in males (0.939) was higher than in females (0.892).
The WHtR showed the best predictor of diabetes risk compared to other indices, and the BMI was the weakest predictor of the risk for diabetes.
本研究旨在确定最佳人体测量指标，并计算伊朗亚兹德市人群中各人体测量指标预测2型糖尿病风险的切点。
本分析性横断面研究使用了亚兹德健康研究（YaHS）的数据，样本量为9293。所有所需数据，包括人体测量指标体重指数（BMI）、腰围（WC）、腰臀比（WHR）和腰高比（WHtR），均从YAHS问卷中提取。采用ROC曲线比较各人体测量指标对2型糖尿病发病风险的预测能力。
WHtR对男女2型糖尿病风险均具有较好的预测能力（男性AUC = 0.692，女性AUC = 0.708），而BMI的预测能力较弱（男性AUC = 0.603，女性AUC = 0.632），WC和WHR在2型糖尿病风险方面也显示出相似的预测能力。预测糖尿病风险的BMI切点在男女中几乎相同（男性为26.2，女性为25.9），男性WC（91 cm）和WHtR（0.56）的切点低于女性（WC为96 cm，WHtR为0.605）。男性WHR的切点（0.939）高于女性（0.892）。
与其他指标相比，WHtR是糖尿病风险的最佳预测指标，而BMI是糖尿病风险的最弱预测指标。
