Comparison of Generalized Linear Mixed and Generalized Linear Models in Determining Type II Diabetes Related Factors in Yazd

Diabetes mellitus is a chronic disease, it’s prevalence is very high and is increasing recently. In this study, in addition to determining type II diabetes related factors, we compared the generalized linear and generalized linear mixed models.
Data is related to research project to investigate the epidemiological characteristics of diabetes in adults aged 30 years and older in the province of Yazd. In this study, 2,795 people were screened with a blood glucose test for diabetes. We for data analysis by the mixed logistic and ordinary logistic regression used the R software.
In this study ,four variables of family history of diabetes, age, body mass index and waist circumference to hip circumference were significant in both models (p-value The use of generalized linear mixed models lead to more accurate results and prevents underestimated standard error of the coefficients.