Volume 16, Issue 3 (Vol.16, No.3 2020)                   irje 2020, 16(3): 220-229 | Back to browse issues page

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Bahrami Taghanaki H, Mosa Farkhani E, Eftekhari Gol R, Bahrami Taghanaki P, Bokaei S, Taghipour A et al . Determinants of Diabetic Complications: A Population-Based Case-Control Study. irje. 2020; 16 (3) :220-229
URL: http://irje.tums.ac.ir/article-1-6660-en.html
1- Associate Professor of Complementary and Chinese Medicine, Persian and Complementary Medicine Faculty, Mashhad University of Medical Sciences, Mashhad, Iran
2- PhD in Epidemiology, Mashhad University of Medical Sciences, Mashhad, Iran
3- Department of Health Network Development and Health Promotion, Khorasan Razavi Province Health Center, Mashhad, Iran
4- Medical student, Faculty of medicine, Mashhad university of Medical Science, Mashhad, Iran
5- Department of Food Hygiene and Epidemiology, Faculty of Veterinary medicine, University of Tehran, Tehran, Iran; Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran
6- MD, PhD in Epidemiology, Associate Professor, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
7- Environmental Health Engineering, Environmental Health Engineering, East Educational Research division of Drug abuse and addictive behavior, Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran , Beigib3@mums.ac.ir
Abstract:   (658 Views)
Background and Objectives: Diabetes is considered as one of the most common endocrine disorders worldwide. The aim of this study was to investigate the factors associated with diabetic complications.
Methods: A case-control study was performed on the data of 70089 diabetic patients (4622 cases and 53613 controls) extracted from the SINA Electronic Health Record (SinaEHR®) in a population covered by Mashhad University of Medical Sciences in 2018. The effect of independent variables on the likelihood of diabetic complications was investigated using single-variable and multivariate logistic regression models with the control of the potential confounding effects.
Results: Using the multivariate logistic regression, the odds of developing diabetic complications were 0.35 (0.31-0.38) for living in the city, 0.73(0.67-0.79) for living in the suburbs and 0.31(0.28-0.33) for living in rural areas relative to the metropolises, 0.84 (0.78-0.91) for illiterate subjects, 0.70 (0.66-0.75) for physical activity, 1.51(1.34-1.71) for stage 1 hypertension and 1.87 (1.43-2.44) for stage 2 hypertension relative to normal blood pressure, 0.79(0.74-0.85) for uncontrolled low density lipoprotein and 1.42(1.33-1.51) for uncontrolled hemoglobin A1C.
Conclusion: Various risk factors were identified to increase the odds ratio of diabetic complications. The most important risk factors were uncontrolled glycosylated hemoglobin and stage 1 and 2 hypertension. Control of these factors can reduce the chance of diabetic complications in diabetic patients.
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Type of Study: Research | Subject: Epidemiology
Received: 2021/01/6 | Accepted: 2020/11/30 | Published: 2020/11/30

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