Statistical analyses

Multivariable logistic regression analysis was conducted to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) between the occupational groups, alcohol intake and the risks of T2D and prediabetes adjusting for potential confounders that included age (≤60, >60 years), body mass index (BMI) category (normal weight [<25], overweight [25–29.9] and obesity [≥30]),24 abnormal lipids (yes, no), family history of diabetes (yes, no), and smoking status (non-smoker, current, former). Abnormal lipid levels were defined as: TG level >1.70 mmol/L (150 mg/dL) or HDL-C <0.9 mmol/L (35 mg/dL). We also tested for a trend in relation to the drinking by assigning median values of the intake quartiles as continuous variables in the model. The interaction effects between the occupational groups and alcohol intake were evaluated by including cross-product terms in the model. Data were analyzed using SAS 9.3 (SAS Institute, Cary, NC, USA). All reported P values were made on the basis of two-sided tests with a significance level of 0.05.