Associations between anthropometric indices as complementary predictors and incidence of type 2 diabetes; Panasonic
Genki Kobayashi1, Tomohiro Shinozaki2, Hiroshi Okada1
1Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Aims:
To compare the predictive abilities of body mass index (BMI), waist circumference (WC), waist-corrected BMI (wBMI), a body shape index (ABSI), and waist-to-height ratio (WHtR) for the incidence of type 2 diabetes and determine the practical cut-off values for the Japanese population.
Methods:
This study used data from 155,623 participants who had medical checkups with Panasonic Corporation between 2008 and 2021. Predictive abilities of anthropometric indices were evaluated at 13 years using time-dependent receiver operating characteristic (ROC) curve analyses.
Results:
8,800 developed type 2 diabetes during the study period. The area under the ROC curve for the WHtR was high (0.717, 95 % confidence interval [CI]: 0.710-0.724), with cut-off value of 0.497 in men, while those for wBMI (0.829, 95 % CI: 0.808-0.848) and WHtR (0.826, 95 % CI: 0.806-0.845) were high in women, with cut-off values of 18.6 kg/m and 0.510, respectively. It was also showed WHtR was the most effective in men, while WHtR and wBMI outperformed WC and were comparable to BMI in women for predicting type 2 diabetes.
Conclusions:
WHtR demonstrated superior effectiveness in predicting type 2 diabetes in men, while both WHtR and wBMI showed higher effectiveness than WC and were almost equivalent to BMI in women.
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