Determining the factors related to diabetes type II with mixed logistic regression

Asadi-Samani, F. and Fallahzadeh, H. and Rahmanian, M. (2016) Determining the factors related to diabetes type II with mixed logistic regression. International Journal of Epidemiologic Research, 3 (4). pp. 329-335.


Download (407kB) | Preview
Official URL:


Background and aims: Diabetes type II (non-insulin dependent) which is one of the most prevalent diabetes types in the world emerges in people with the age of above 55 and genetic and environmental factors interfere in this disease. The aim of this study was to determine the factors affecting diabetes type II with generalized mixed linear model. Methods: Population of this study included 2820 people with the age of above 30 residing in Yazd Province who were selected using cluster sampling. To analyze the data, mixed logistic regression model was used in R software. Results: In this study, 25 of men and 24.3 of women had diabetes. The regression analysis showed that age, WHR, family diabetes record, and BMI of 001 were the factors affecting diabetes, while variables of gender, house area, and education were not significant. On the other hand, unknown factors of residence place had high correlation with affliction with diabetes. Conclusion: Based on the results obtained from this study, change of lifestyle and prevention of obesity can prevent affliction with diabetes to a great extent.

Item Type: Article
Uncontrolled Keywords: Diabetes, Logistic regression, Mixed models, GLMM.
Subjects: WD Nutrition Disease and metabolic diseases
Divisions: Reserach Vice-Chancellar Department > International Journal of Epidemiologic Research
Depositing User: zahra bagheri .
Date Deposited: 05 Sep 2017 07:10
Last Modified: 05 Sep 2017 07:16

Actions (login required)

View Item View Item