The relationship of climate and diabetes mellitus prevalence with applying spatial analysis; An Ecological study

Document Type : Original Article


1 Department of Neurology, Kashan University of Medical Sciences, Kashan, Iran

2 Faculty of Medicine, Department of Community Medicine, Kashan University of Medical Sciences, Kashan, Iran

3 Faculty of Engineering, Department of Science, Islamic Azad University Kashan Branch, Kashan, Iran

4 Faculty of Engineering, Department of Math and Stat, Islamic Azad University Kashan Branch, Kashan, Iran

5 Vice Chancellor for Health Affairs, Kashan University of Medical Sciences, Kashan, Iran

6 Faculty of Health, Department of Biostatistics & Epidemiology, Kashan University of Medical Sciences, Kashan, Iran


Objectives: The aims of this study were investigating the association between DM prevalence and climate conditions and finding probable hot-spot areas.
Methods: This ecological study conducted on disease surveillance system of DM data from rural area of two Kashan and Aran-O-Bidgol counties. It is an observational study on the disease surveillance data of health registry system including population characteristics, screened DM cases in 2016. Moran’s I and Getis-Ord’s index were applied to explore the hot-spot areas, and the spatial regression model were conducted for finding the relationship between climate and DM prevalence whilst adjusting some confounders, using GIS software.
Results: The information of 48 cities and villages with 26,800 of ≥30 years people located in three mountainous, plain and dry-desert climates were analyzed. The crude DM prevalence ranged 0-45.4%. The analysis revealed evident hot-spot areas and inverse relationship between altitude and DM prevalence (P<0.05).
Conclusion: Residences of dry-desert climate had high DM prevalence and there was a significant inverse relationship between altitude and DM prevalence.


Habibollah Rahimi [Pubmed] [Google Scholar]


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