Body Mass Index, Waist Circumference, Body Adiposity Index, and Risk for Type 2 Diabetes in Two Populations in Brazil: General and Amerindian

被引:34
作者
Alvim, Rafael de Oliveira [1 ]
Mourao-Junior, Carlos Alberto [2 ]
de Oliveira, Camila Maciel [2 ]
Krieger, Jose E. [1 ]
Mill, Jose G. [3 ]
Pereira, Alexandre C. [1 ]
机构
[1] Univ Sao Paulo, Sch Med, Heart Inst InCor, Lab Genet & Mol Cardiol, Sao Paulo, Brazil
[2] Univ Fed Juiz de Fora, Dept Physiol, Juiz De Fora, MG, Brazil
[3] Univ Fed Espirito Santo, Dept Physiol, Vitoria, ES, Brazil
基金
巴西圣保罗研究基金会;
关键词
HEALTH; RATIO; BMI;
D O I
10.1371/journal.pone.0100223
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Objective: The use of the anthropometric indices of adiposity, especially body mass index and waist circumference in the prediction of diabetes mellitus has been widely explored. Recently, a new body composition index, the body adiposity index was proposed. The aim of this study was to compare the effectiveness of body mass index, waist circumference, and body adiposity index in the risk assessment for type 2 diabetes mellitus. Design and methods: A total of 1,572 individuals from the general population of Vitoria City, Brazil and 620 Amerindians from the Aracruz Indian Reserve, Brazil were randomly selected. BMI, waist circumference, and BAI were determined according to a standard protocol. Type 2 diabetes mellitus was diagnosed by the presence of fasting glucose >= 126 mg/dL or by the use of antidiabetic drugs. Results: The area under the curve was similar for all anthropometric indices tested in the Amerindian population, but with very different sensitivities or specificities. In women from the general population, the area under the curve of waist circumference was significantly higher than that of the body adiposity index. Regarding risk assessment for type 2 diabetes mellitus, the body adiposity index was a better risk predictor than body mass index and waist circumference in the Amerindian population and was the index with highest odds ratio for type 2 diabetes mellitus in men from the general population, while in women from the general population waist circumference was the best risk predictor. Conclusion: Body adiposity index was the best risk predictor for type 2 diabetes mellitus in the Amerindian population and men from the general population. Our data suggest that the body adiposity index is a useful tool for the risk assessment of type 2 diabetes mellitus in admixture populations.
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页数:5
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