Abstract

Objective Diabetes mellitus (DM) is an important global health risk factor in the twenty-first century and one of the 10 major causes of mortality world wide. The generalized structural equation model (GSEM) is a family of statistical techniques in the analysis of multivariate data, classified and sequential, which measures the hidden variables and the relationships between them. Finding risk factors for type 2 diabetes and providing a model for lifestyle changes is the aim of the study. . Methods This exploratory, cross-sectional study was performed to evaluate the risk factors in a cohort of Iranian diabetic patients aged over 35 years (N = 9975). Among 9975 people over 35 years old participating in the first phase of the Yazd cohort study, 1736 people (17.95) with diabetes and people who were unaware of their diabetes status and pregnant women were excluded and finally we selected 7431 non-diabetics who had FBG test. By presenting the model of initial generalized structural equations using stata software (version 15), we investigated the risk factors affecting type 2 diabetes. Results The risk factors of BMI (Impact coefficients0.010), triglyceride (0.005), hypertension (0.086), and high cholesterol level (0.005) directly affected the DM status (P < 0.001). Meanwhile, BMI and triglyceride played a mediating role in this regard, and the factors of high-density lipoprotein cholesterol, physical activity (-0.23), and diet (0.001) indirectly affected the DM status. Conclusion Using a large sample, this study provides a clear and direct model of the risk factors for diabetes. The main finding is that the risk factors for diabetes 2 that directly affect Iranians in this study are high blood pressure, BMI, triglycerides and cholesterol.