Repository of Research and Investigative Information

Repository of Research and Investigative Information

Shahid Sadoughi University of Medical Sciences

Population attributable risk of risk factors for type 2 diabetes; Bayesian methods

(2019) Population attributable risk of risk factors for type 2 diabetes; Bayesian methods. Diabetes & Metabolic Syndrome-Clinical Research & Reviews. pp. 1365-1368. ISSN 1871-4021

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Abstract

Objective: Demonstrating the risk factors of diabetes can help to plan for prevention of this disease. This study aimed at quantification of the impact of physical activity, hypertension, general obesity, central obesity, high cholesterol, HDL, LDL, triglyceride, smoking, hookah, drug use, alcohol consumption on the incidence of type 2 diabetes at a population level in Yazd, Iran. And this study calculated population attributable risk (PAR) of them. Methods: For this study, data from the first phase of the cohort study of chronic diseases in the adults of Yazd city were used, which began in 2016. Data was recorded through a cohort trained team. To calculate PAR and its the Bayesian confidence interval were performed using software R (version 3.4.3). Results: Of the 9967 subjects studied, age >= 30, 14.67 (n = 1432) has type 2 diabetes. The most common risk factors for diabetes were Inadequate physical activity and central obesity (WHR). The PAR for Inadequate physical activity of diabetes in women was 17.92, in men 18.53, And PAR for WHR in women was 57.62, in men 43.03. Conclusions: In this study, age was the strongest determinant of diabetes. And then type 2 diabetes is mainly attributable to WHR, significantly more so in women than men. Therefore, central obesity probably should be considered as a major strategy for reducing incidence of type 2 diabetes. (c) 2019 Published by Elsevier Ltd on behalf of Diabetes India.

Item Type: Article
Keywords: Population attributable risk Type 2 diabetes Risk factors follow-up burden prevalence overweight impact Endocrinology & Metabolism
Page Range: pp. 1365-1368
Journal or Publication Title: Diabetes & Metabolic Syndrome-Clinical Research & Reviews
Journal Index: WoS
Volume: 13
Number: 2
Identification Number: https://doi.org/10.1016/j.dsx.2019.01.015
ISSN: 1871-4021
Depositing User: Mr mahdi sharifi
URI: http://eprints.ssu.ac.ir/id/eprint/28701

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