Which obesity index best explains prevalence differences in type 2 diabetes mellitus?
Which obesity index best explains prevalence differences in type 2 diabetes mellitus?
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DOI：
10.1038/oby.2007.151
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发表时间：
2007-05-01
期刊：
影响因子：
6.9
通讯作者：
Haffner, Steven M.
中科院分区：
文献类型：
--
作者：
Lorenzo, Carlos;Serrano-Rios, Manuel;Haffner, Steven M.
目的：肥胖导致糖尿病流行。然而，它是不知道的肥胖指数最好地解释2型糖尿病患病率的变化在population.Research方法和程序：我们分析了三个横断面研究从圣安东尼奥，得克萨斯州，（墨西哥裔美国人和非西班牙裔白人，n = 2839），墨西哥城（n = 2233），和西班牙（n = 2161）（年龄范围，35至64岁）。我们使用受试者工作特征曲线下面积（AUC）来评估识别糖尿病受试者的性能，并使用逻辑回归分析来检查糖尿病患病率的差异。结果：白色受试者腰围和BMI的AUC相似，但墨西哥裔受试者腰围的AUC更大（墨西哥男性，0.594对0.549，p = 0.008;女性，0.605对0.557，p = 0.002;墨西哥裔美国男性，0.648对0.600，p < 0.001;女性，0.744对0.693，p < 0.001）。腰高比的AUC往往大于腰围，但仅在墨西哥女性（0.628 vs. 0.613，p = 0.044）、墨西哥裔美国女性（0.774 vs. 0.758，p < 0.001）和西班牙女性（0.734 vs. 0.715，p = 0.039）中显示出统计学显著性。没有肥胖指数是一贯优于其他上级解释糖尿病患病率之间的差异population.Conclusions：在白色和墨西哥裔男性，腰围可能是首选的标记，用于识别糖尿病受试者的帐户，其简单性;在女性中，腰围与身高的比例可能会更好。这些人群中糖尿病患病率的差异不能归因于单一的肥胖指标。
Objective: Obesity drives the diabetes epidemic. However, it is not known which obesity index best explains variations in type 2 diabetes mellitus prevalence across populations.Research Methods and Procedures: We analyzed three cross-sectional studies from San Antonio, TX, (Mexican-Americans and non-Hispanic whites, n = 2839), Mexico City (n = 2233), and Spain (n = 2161) (age range, 35 to 64 years). We used the area under the receiver operating characteristic curve (AUC) to assess performance for identifying diabetic subjects and logistic regression analysis to examine differences in diabetes prevalence.Results: AUCs for waist circumference and BMI were similar in white subjects, but the AUC for waist circumference was greater in Mexican-origin subjects (Mexican men, 0.594 vs. 0.549, p = 0.008; and women, 0.605 vs. 0.557, p = 0.002; Mexican-American men, 0.648 vs. 0.600, p < 0.001; and women, 0.744 vs. 0.693, p < 0.001). The AUC for waist-to-height ratio tended to be greater than that for waist circumference, but statistical significance was demonstrated only in Mexican women (0.628 vs. 0.613, p = 0.044), Mexican-American women (0.774 vs. 0.758, p < 0.001), and Spanish women (0.734 vs. 0.715, p = 0.039). No obesity index was consistently superior to the others for explaining differences in diabetes prevalence among populations.Conclusions: In white and Mexican-origin men, waist circumference may be the preferred marker for identifying diabetic subjects on account of its simplicity; in women, waist-to-height ratio may be better. Differences in diabetes prevalence among these populations cannot be attributed to a single measure of obesity.