(2016) Suicide Mortality Risk in Kermanshah Province Iran: A County-level Spatial Analysis. Epidemiology Biostatistics and Public Health. ISSN 2282-2305
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Abstract
Background: Kermanshah province has one of the highest suicide rates in Iran. The aim of this study is to explore spatial variations in the relative risk of suicide across the counties of Kermanshah province. Methods: This is an applied ecological study in which county-level counts of suicide deaths recorded by the forensic medicine organization of Kermanshah province during the period March 21, 2006 to March 20, 2013 have been used. Following a Bayesian approach, Besag, York and Mollie's (BYM) model was fitted to the number of suicide deaths of males, females and all persons to make inference about the relative risk of suicide across the counties of the province. Results: Over the study period and based on 95 credible intervals, Kangavar, Harsin and Sonqor counties had significantly lower relative risks of suicide for both males and females, Slas-Babajani, Paveh, Javanrud and Ravansar counties had significantly lower relative risks of suicide only for males and Kermanshah county had a significantly higher relative risk of suicide only for males. The relative risk of suicide for the other counties were not significantly different from the provinces overall risk neither for males nor females. Conclusion: The counties of Kermanshah province can be classified into four categories by the level of relative risk of suicide: low relative risk for both males and females, low relative risk only for males, high relative risk only for males and average relative risk. Findings from this study could be used to specify priority counties for suicide prevention initiatives.
Item Type: | Article |
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Keywords: | relative risk besag york and mollie's model bayesian approach spatial analysis suicide west of iran global burden diseases england wales |
Journal or Publication Title: | Epidemiology Biostatistics and Public Health |
Journal Index: | ISI |
Volume: | 13 |
Number: | 3 |
Identification Number: | ARTN e11829 10.2427/11829 |
ISSN: | 2282-2305 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.mui.ac.ir/id/eprint/2960 |
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