Introduction: The lack of timely control of diabetes leads to irreparable complications in other organs of the body, including the heart, kidneys and eyes. The purpose of this study was to, Identify of determinative Factors of Pre-Diabetes in Mashhad by using logistic regression model. Materials & Methods: This is an analytical-cross sectional study. The data are related to MASHAD (Mashhad Stroke and Heart Atherosclerotic Disorders) study. The population was selected by using stratified-cluster sampling. The samples included 8810 individuals aged 35-64 years. Independent variables included demographic information, anthropometric index, blood pressure, anxiety, depression, physical activity level, healthy and unhealthy diet patterns, inflammatory, biochemical and lipid factors. SPSS-22 software was used to analyze the data and a significant level of 0. 05 was considered. The logistic regression model was fitted to identify the determinant factors on the data. Results: The prevalence of pre-diabetes was, 10. 2% (885 cases). The results showed statistically significant association between age, anthropometric index, blood pressure, anxiety, depression, pattern healthy and unhealthy diet, hs-CRP, uric acid, cholesterol, triglyceride and pre-diabetes (p<0. 05). Conclusion: Majority of cases of type 2 diabetes can be prevented by nutritional reform and lifestyle in people with pre-diabetes. Suggested, it is better to focus on general education and prevention to promote healthy lifestyle at the community level.