GPT and Obesity: Logistics regression is defined as a regression model where the dependent variable (DV) is categorical, and the analysis conducted by this regression is called logistics regression analysis, and it was performed with physical activity, BMI, blood glucose level, FINS, serum vaspin level ≤0.9, and liver enzyme levels such ALT, AST, and γ-GT as independent variables, there are also dependent variables likewise amelioration of fatty liver and metabolic disturbance in the patients with severe obesity after LVGB.