GPT and diabetes mellitus: In the fully adjusted model, the authors adjusted age, gender, education level, race, diabetes, hemoglobin A1c, BMI, AST, ALT, urea nitrogen, drinker, SBP, DBP, kidney disease, total cholesterol, smoker, uric acid, hypertension, and serum creatinine.