Is Waist Circumference A Better Predictor of Diabetes Than Body Mass Index Or Waist‐To‐Height Ratio In Iranian Adults?

Message:
Abstract:
Background
Several measures of adiposity have been used for predicting diabetes. The results of studies regarding superiority of waist circumference (WC) to body mass index (BMI) are inconsistent. This study designed to compare the ability of different anthropometric measures in predicting diabetes and to determine their optimal cut‑off values.
Methods
A population‑based cross‑sectional study was conducted with 1,000 representative sample among adults aged 20–80 years in Babol, the Northern Iran. The demographic data were collected in a household survey, and the anthropometric measures of weight, height, waist, and hip circumference were measured with a standard method. Fasting blood sugar (FBS) ≥126 mg/dl was considered as diabetes. receiver operating characteristic analysis was used to estimate the predictive ability of different anthropometric indexes and their optimal cut‑off values for high FBS.
Results
The overall prevalence rate of diabetes was 14.0% (14.4% in men vs. 13.5% in women, P = 0.65). The prevalence rate was signifcantly higher in older age (>60 years), low educated and obese (P = 0.001). The mean of BMI, WC, waist‑to‑hip ratio (WHR), and waist‑to‑height ratio (WHtR) were signifcantly higher among diabetic in both sexes (P = 0.001). Among men, WC (area under the ROC curve [AUC] =0.64) and WHtR (AUC = 0.63) have slightly higher accuracy index compared with BMI (AUC = 0.62) or WHR (AUC = 0.60). In contrast, among women, WHtR (AUC = 0.69) and WC (AUC = 0.68) yielded slightly better predictive than BMI (AUC = 0.67). The optimal cut‑off values obtained for BMI and WHtR were similar between two sexes (BMI = 24.95 kg/m2 for men and BMI = 25.2 kg/m2 for women, WHtR = 0.51 for both sexes) whereas the optimal cut‑off value for WC was higher in men than women (98.5 cm men vs. 89.5 cm women).
Conclusions
Overall WC and WHtR exhibited a slightly better discriminate performance than BMI for diabetes in both sexes, particularly in women.
Language:
English
Published:
International Journal of Preventive Medicine, Volume:6 Issue: 1, Jan 2015
Page:
2
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