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

Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
View: 122

This Paper With 7 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_INJER-3-4_004

تاریخ نمایه سازی: 22 خرداد 1400

Abstract:

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.

Authors

fariba asadi

Shahid sadoughi University of Medical Sciences, Yazd, I.R. Iran

Hossein Fallahzadeh

Biostatistics Dept., Shahid Sadoughi University of Medical Sciences, Yazd, I.R. Iran.

Masoud Rahmanian

Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, I.R. Iran.

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Levitt NS, Steyn K, Lambert EV, Reagon G, Lombard CJ, ...
  • Harris M. Definition and classification of diabetes mellitus and the ...
  • Bergenstal R, Kendall D, Franz M, Rubenstein A. Management of ...
  • ۴.Nakhodayi zade M, Raissi dehkardi F, Babolkhani E. Comparison healthy ...
  • ۵.What is diabetes? Comprehensive base of Medical Information of Iran; ...
  • CHarles E, McCulloch. An introduction to generalized linear mixed models. ...
  • Bates D. Fitting linear mixed models in R. R news. ...
  • Venables WN, Dichmont CM. GLMs, GAMs and GLMMs: an overview ...
  • Bolker BM, Brooks ME, Clark CJ, Geange SW, Poulsen JR, ...
  • Booth JG, Hobert JP. Maximizing generalized linear mixed model likelihoods ...
  • Agresti A, Kateri M. Categorical data analysis: Springer; ۲۰۱۱ ...
  • Jiang J. Linear and generalized linear mixed models and their ...
  • Zhu H-T, Lee S-Y. Analysis of generalized linear mixed models ...
  • Breslow NE, Clayton DG. Approximate inference in generalized linear mixed ...
  • Gilani N, Kazemnejad A, Zayeri F, Yazdani J. Comparison of ...
  • Fitzmaurice GM, Laird NM, Ware JH. Generalized Linear Mixed Models. ...
  • Kelestimur F, Cetin M, Pasaoglu H, Coksevim B, Cetinkaya F, ...
  • ۱۸.Vaghari G, Sedaghat S, Joshaghani H, Hosseini SA, Niknejhad F, ...
  • Merati M, Feizei A, Bager Nejad M. Prevalence of high ...
  • Skronal DHS. Multilevel logistic regression. Stat Med. ۲۰۰۲; ۳: ۴۱۱-۲۰ ...
  • نمایش کامل مراجع