How does ethnicity affect the association between obesity and diabetes?
How does ethnicity affect the association between obesity and diabetes?
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DOI：
10.1111/j.1464-5491.2007.02244.x
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发表时间：
2007-11-01
影响因子：
3.5
通讯作者：
Majeed, A.
中科院分区：
文献类型：
--
作者：
Diaz, V. A.;Mainous, A. G., III;Majeed, A.
目的探讨身体质量指数（BMI），腰围（WC）和腰围身高比（WHR）在评估糖尿病的风险在不同ethnic groups.Methods横断面分析的数据为8个民族的2003-2004年全国健康和营养检查调查和2003-2004年英国健康调查进行。在11624名≥ 20岁的成人中，自我报告为美国白色人、美国黑人、墨西哥裔美国人、英国白色人、英国黑人、孟加拉国人、巴基斯坦人、印度人或中国人，确定存在糖尿病，定义为自我报告医生诊断或糖化血红蛋白（HbA（1c））> 6.1%。使用卡方检验进行比例比较。计算BMI、WC和WHR预测糖尿病的受试者工作特征（ROC）曲线。体重正常（BMI < 25 kg/m2）的英国白人的糖尿病粗患病率为3.4%。其他族裔群体的患病率较高（5.0-10.9%）。根据ROC曲线，WC和WHR对糖尿病的判别能力在性别和某些民族中均优于BMI。结论糖尿病的粗患病率存在民族差异，即使在BMI正常的人群中也是如此。因此，临床医生在解释与正常BMI相关的糖尿病风险时需要谨慎。使用其他人体测量方法，如腰围或腰臀比，可以提高不同种族群体的风险确定。需要更多的研究来确定不同人体测量指标的阈值，以提高糖尿病风险的确定。
Aims To examine the utility of body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHR) in assessing diabetes risk across different ethnic groups.Methods Cross-sectional analysis of data for eight ethnic groups from the 2003-2004 National Health and Nutrition Examination Survey and 2003-2004 Health Survey for England was performed. In 11 624 adults >= 20 years old, self-reported as US White, US Black, Mexican American, English White, English Black, Bangladeshi, Pakistani, Indian or Chinese the presence of diabetes, defined as self-report of doctor diagnosis or glycated haemoglobin (HbA(1c)) > 6.1%, was ascertained. Comparisons of proportions were made using chi(2)-tests. Receiver operating characteristic (ROC) curves were calculated for BMI, WC and WHR predicting diabetes.Results Other ethnic groups had a higher prevalence of diagnosed diabetes than English Whites. The crude prevalence of diabetes in English Whites of normal weight (BMI < 25 kg/m(2)) was 3.4%. Higher prevalences were seen in other ethnic groups (5.0-10.9%). Based on ROC curves, both WC and WHR had better discriminating ability for diabetes than BMI for both genders and some ethnic groups.Conclusions Ethnic differences exist in the crude prevalence of diabetes, even in those characterized as normal weight by BMI. Thus, clinicians need to exercise caution in interpreting diabetes risk associated with a normal BMI. The use of other anthropometric measures, such as WC or WHR, may improve risk determination across different ethnic groups. More research is needed to determine the thresholds for different anthropometric measures that improve diabetes risk determination.