Association Between the Prevalence of Diabetes and PM <sub>2.5</sub>: A Cross-Sectional, Ecological Study

Seyed Mahmoud Mehdinia; Behnaz Beygi; Ehsan Mosa Farkhani; Ali Taghipour; Seyed Kazem Farahmand; Khalilollah Moeinian

E-ISSN : 2148-9696

Crescent Journal of
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Original Article
Association Between the Prevalence of Diabetes and PM _2.5: A Cross-Sectional, Ecological Study
Seyed Mahmoud Mehdinia¹, Behnaz Beygi¹, Ehsan Mosa Farkhani², Ali Taghipour³, Seyed Kazem Farahmand⁴, Khalilollah Moeinian¹
¹Department of Environmental Health Engineering, School of Health, Semnan University of Medical Sciences, Semnan, Iran ²Khorasan Razavi Province Health Center, Mashhad University of Medical Sciences, Mashhad, Iran ³Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran ⁴School of Persian and Complementary Medicine, Mashhad University of Medical Sciences, Mashhad, IranSchool of Persian and Complementary Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
CJMB 2020; 7: 66–71 Viewed : 4606 times Downloaded : 2361 times. Keywords : Particulate matter, Diabetes, Iran
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Abstract

Objectives: Many epidemiologic studies have drawn considerations to the adverse effects of air pollutants like particulate matter 2.5 ((PM_2.5) on human health. This study aimed to analyze the association between the air concentration of PM_2.5and the prevalence of diabetes in Mashhad. Materials and Methods: This ecological study assessed the relationship between PM_2.5level and diagnosed diabetes prevalence in the Mashhad metropolis by spatiotemporal analysis at the block level by data obtained from the Environmental Pollutants Monitoring Center and SINA electronic health records. The subgroup analysis was performed pursuant to age and gender. In addition, the kernel density estimation analysis and Pearson correlation were used to guesstimate the association between PM_2.5and diabetes mellitus. Results: A signifcant positive association was observed between PM_2.5concentrations and the prevalence of diabetes. The results of the kernel density estimation indicated that the R and S zones with the highest prevalence rates of diabetes are among the zones with the highest PM_2.5concentrations. Conclusions: In general, the results showed that long-time exposure to PM_2.5increases the prevalence of diabetes in Mashhad.