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Abstract : Diabetes mellitus and its complications like peripheral neuropathy are priority non-communicable diseases that the number of patients increased over time. This condition will result in a progressive decrease in the life quality of patients. Controlled risk factors to decrease quality of life needs to be done, one of the most important risk factors is a lifestyle. This study was to create a prediction model of quality of life-based on lifestyle in type 2 diabetes mellitus patients with peripheral neuropathy. The study was cross-sectional. 210 patients with diabetes mellitus type 2 were applied in this study using purposive sampling. Data were carried out using a self-developed questionnaire by the research team and which met the existing validity and reliability requirements. Data were analyzed using SEM PLS. Variables that have a direct influence on the quality of life are social interaction (r=0.563; T=10.591; p=0.0001; f²=0.544), self-care (r=0.236; T=4.769; p=0.0001; f²=0.093) and eating patterns (r=0.236; T=3.947;p=0.0001; f²= 0.095). Variables that have an indirect effect on the quality of life are physical activity variables (r= -0.063; T= 2.981; p= 0.003; f²=0.074) and sleep pattern variables (r= 0.058; T= 2.851; p= 0.005; f²= 0.063). The R square value of the predictor variable with a moderate category of quality of life (R square = 0.496). All the variables in this prediction model have a Q-square value of more than 0.02 so it can be stated that all the variables that make up the model are declared good. This predictive model is feasible in explaining the influence between variables (SRMR value = 0.99). A prediction model was formed consisting of 5 predictor variables, namely social interaction, self-care, eating patterns, physical activity, and sleep patterns.