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  4. Association of geographical distribution of air quality index and type 2 diabetes mellitus in Isfahan, Iran

Association of geographical distribution of air quality index and type 2 diabetes mellitus in Isfahan, Iran

Authors

Tahmasebi Azadeh
Isfahan University of Medical Sciences ; , Environment Research Center ; Research Institute for Primordial Prevention of Non-communicable Disease, Environmental Health Engineering Department ;

Pak. J. Med. Sci. 2015; 31 (2): 369-373
Pakistan Journal of Medical Sciences
Journal Country: Pakistan
P-ISSN: 1682-024X
E-ISSN: 1681-715X
Type of Publication: Journal Article
Category: Humans, Male, Female,
Country of Research: Islamic Republic of Iran
Type of Research: Clinical
Keywords: Diabetes Mellitus, Type 2
Broad Subjects: Noncommunicable Diseases, Air Pollution ,Geographic Information Systems
Citation: Azadeh Tahmasebi , Association of geographical distribution of air quality index and type 2 diabetes mellitus in Isfahan, Iran, Pak. J. Med. Sci. 2015; 31 (2): 369-373

Abstract English

Air pollution is a hazardous environmental problem with several adverse health effects including its impact on the development of chronic diseases as diabetes mellitus. This study aimed to investigate the association of geographical distribution of air quality index [AQI] and type 2 diabetes mellitus in an air-polluted city by using geographic information system [GIS] . This cross-sectional study was conducted in Isfahan, Iran. The records that have been registered from 2009 to 2012 in major referral public diabetes clinics were gathered; they included data of 1467 diabetic patients. Their living area was represented with spots in the city map. AQI data were also interpolated from monitoring stations spreading around the city. The GIS maps of air pollutants and diabetes were developed and the associations were determined. The density of diabetic population was higher in highly polluted areas compared with areas with the lower levels of air pollution. No significant correlation was documented between the distribution of diabetic patients and air pollution level throughout the city. Although the density of diabetic patients was higher in areas with higher air pollution, but the lack of association between AQI and the prevalence of diabetes might be because the air of different parts of the city was highly polluted, and we could not compare the prevalence of diabetes in areas with clean and polluted air

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