Predict of Risk Factors Associated with Diabetes Type 2 by Using Logistic Regression

Abstract

Introduction: Diabetes is a highly prevalent disease that causes damage to the vascular system. The aim of study was to predict risk factors associated with diabetes type II by using logistic regression.

Methods: This is an analytical- cross sectional study. The data are related to the Mashhad study, which began in 2008 and are so far continues. The population studied is all individuals aged 35 to 65 years old living in Mashhad. Samples including 9386 individuals were selected with using stratified-cluster sampling. Demographic data, anthropometric indices, blood pressure, anxiety, depression, physical activity level, food patterns, and inflammatory, blood and biochemical factors were recorded. SPSS software was used to analyze the data. A significant level of 0.05 was considered. The logistic regression model was fitted to investigate the factors associated with type 2 diabetes.

Results: The prevalence of type II diabetes was 13.9% (1387 cases). The results showed statistically significant association between age, anthropometric index, blood pressure, depression, dietary patterns and type 2 diabetes (P<0.05). Also, inflammatory, blood and biochemical factors were significant (P<0.05).

Conclusion: Most of the factors associated with type 2 diabetes are lifestyle-controllable variables, so it is better that focus on general education and prevention to promote healthy lifestyles at the community level.