Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: the insulin resistance atherosclerosis study.
Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: the insulin resistance atherosclerosis study.
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DOI：
10.2337/dc08-1663
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发表时间：
2009-05
期刊：
影响因子：
16.2
通讯作者：
Hanley AJ
中科院分区：
文献类型：
--
作者：
MacKay MF;Haffner SM;Wagenknecht LE;D'Agostino RB Jr;Hanley AJ
比较不同的人体测量方法预测2型糖尿病的能力，并确定预测能力是否因种族而改变。对1073名非西班牙裔白人（nHW）、非裔美国人（AA）和西班牙裔（HA）受试者进行基线人体测量，其中146人在5.2年后患上2型糖尿病。采用Logistic回归模型，用接收算子特征曲线下面积（AROCs）对模型的预测结果进行比较。腰高比（AROC 0.678）是最具预测性的指标，其次是BMI （AROC 0.674）。nHW和HA受试者的结果相似，尽管在AA受试者中，中心肥胖测量似乎最好地预测2型糖尿病。中心和整体肥胖的测量对2型糖尿病的预测程度相似，AA受试者除外，结果表明中心测量更具预测性。
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.
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影响因子：
5
作者：
Pepe, MS;Janes, H;Newcomb, P
通讯作者：
Newcomb, P
DOI：
10.1038/oby.2001.94
发表时间：
2001-11-01
期刊：
OBESITY RESEARCH
影响因子：
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作者：
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通讯作者：
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作者：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
Lowel, Hannelore