Identify Determinative Factors the Occurrence of Pre-Diabetes Using Logistic Regression Model in Mashhad

The lack of timely control of diabetes leads to irreparable complications in other organs of the body, including the heart, kidney and eye. The aim of this study was to, Identify determinative Factors the Occurrence of Pre-Diabetes Using Logistic Regression Model in Mashhad by using logistic regression model.
Material and This is an analytical- cross sectional study. The data are related to MASHAD 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