Statistical Analysis - Descriptive data will be described as means and SDs for continuous variables, and analysis of variance (ANOVA) and Chi-square tests were used for assessing the significances. Bonferroni method was used for post-hoc comparison in ANOVA. Multiple linear regressions were used for predicting determinants of FPG. We tested the variables scales in this study for multicollinearity by correlation matrix and VIF (variance inflation factor). Odds ratios (ORs) and the 95% confidence interval (CI) were calculated to estimate the relative risk of diabetes mellitus by logistic regression model. A p-value below 0.05 was considered significant. The statistical analyses were performed with SPSS statistical Package.