GPT and Hypertension: Model: Fully adjusted model was adjusted by age, gender, race/ethnicity, education level, poverty income ratio, ALT, AST, SCr, total cholesterol, triglycerides, LDL-C, HDL-C, serum uric acid, albumin, glycohemoglobin, eGFR, BMI, SBP, DBP, waist circumference, physical activity (MET-based rank), current cigarette use, had at least 12 alcohol drinks/1 year, now taking prescribed medicine for HBP, now taking prescribed medicine for high cholesterol level, hypertension history, NAFLD, diabetes history, coronary heart disease