MacKay Meredith F, Haffner Steven M, Wagenknecht Lynne E, D'Agostino Ralph B, Hanley Anthony J G
Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.
Diabetes Care. 2009 May;32(5):956-8. doi: 10.2337/dc08-1663. Epub 2009 Feb 5.
To compare different anthropometric measures in terms of their ability to predict type 2 diabetes and to determine whether predictive ability was modified by ethnicity.
Anthropometry was measured at baseline for 1,073 non-Hispanic white (nHW), African American (AA), and Hispanic (HA) subjects, of whom 146 developed type 2 diabetes after 5.2 years. Logistic regression models were used with areas under the receiver operator characteristic curve (AROCs) comparing the prediction of models.
Waist-to-height ratio (AROC 0.678) was the most predictive measure, followed by BMI (AROC 0.674). Results were similar in nHW and HA subjects, although in AA subjects, central adiposity measures appeared to best predict type 2 diabetes.
Measures of central and overall adiposity predicted type 2 diabetes to a similar degree, except in AA subjects, for whom results suggested that central measures were more predictive.
比较不同人体测量指标预测2型糖尿病的能力，并确定预测能力是否因种族而异。
对1073名非西班牙裔白人（nHW）、非裔美国人（AA）和西班牙裔（HA）受试者在基线时进行人体测量，其中146人在5.2年后患上2型糖尿病。使用逻辑回归模型，通过受试者操作特征曲线下面积（AROCs）比较模型的预测效果。
腰高比（AROC 0.678）是最具预测性的指标，其次是体重指数（BMI，AROC 0.674）。nHW和HA受试者的结果相似，尽管在AA受试者中，中心性肥胖指标似乎最能预测2型糖尿病。
中心性肥胖和总体肥胖指标对2型糖尿病的预测程度相似，但在AA受试者中，结果表明中心性指标的预测性更强。
