Determining the factors related to diabetes type II with mixed logistic regression
- سال انتشار: 1395
- محل انتشار: مجله اپیدمیولوژی و نظام سلامت، دوره: 3، شماره: 4
- کد COI اختصاصی: JR_INJER-3-4_004
- زبان مقاله: انگلیسی
- تعداد مشاهده: 137
نویسندگان
Shahid sadoughi University of Medical Sciences, Yazd, I.R. Iran
Biostatistics Dept., Shahid Sadoughi University of Medical Sciences, Yazd, I.R. Iran.
Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, I.R. Iran.
چکیده
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 ۵۵ 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 ۲۸۲۰ people with the age of above ۳۰ 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, ۲۵% of men and ۲۴.۳% of women had diabetes. The regression analysis showed that age, WHR, family diabetes record, and BMI of ۰۰۱ 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.کلیدواژه ها
Diabetes, Logistic regression, Mixed models, GLMMاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
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