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Predictive Performance of Anthropometric Indexes of Central Obesity for the Risk of Type 2 Diabetes


In spite of several available anthropometric indexes, the relative merit of these indexes for the prediction of type 2 diabetes remains unknown. Considering that obesity and diabetes commonly coexist as co-morbidities, our objective was to directly compare the performance of measures of central and general obesity to predict the risk of type 2 diabetes. Methods. We conducted a case-control study of type 2 diabetes on 150 cases and 150 age- and gender-matched controls. We directly compared the predictive performance of five anthropometric indexes: four related to central obesity—waist circumference (WC), waist/hip ratio (WHR), abdominal volume index (AVI) and conicity index (CI); and one related to general obesity—body mass index (BMI).We used various statistical approaches like area under (AUC) receiver-operating characteristic (ROC) curves, likelihood ratios, logistic regression and Shannon’s entropy to compare the performance of the indexes in the study sample as well as bootstrapped samples. Results. WC had the highest overall predictive accuracy that was gender insensitive (AUC 0.77 in males and 0.74 in females); a comparable information content as that of AVI (Shannon’s entropy  1.81 for WC and 1.84 for AVI) and was a better predictor of the risk of type 2 diabetes than all the remaining indexes. WC also correlated strongly with the biochemical markers of diabetes like blood sugar and lipid profile. Conclusions. WC is a simple, non-invasive and accurate predictor of the risk of type 2 diabetes that can potentially be used in screening programs in developing countries.
Arch Med Res. 2005; 36: 581-9.

By: Mamtani MR, Kulkarni HR

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