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Type: Journal article
Title: Determination of the social related factors of suicide in Iran: a systematic review and meta-analysis
Author: Nazarzadeh, M.
Bidel, Z.
Ayubi, E.
Asadollahi, K.
Carson, K.
Sayehmiri, K.
Citation: BMC Public Health, 2013; 13(1):4-1-4-9
Publisher: BioMed Central
Issue Date: 2013
ISSN: 1471-2458
Statement of
Milad Nazarzadeh, Zeinab Bidel, Erfan Ayubi, Khirollah Asadollahi, Kristin V Carson, and Kourosh Sayehmiri
Abstract: BACKGROUND: Suicide, a social phenomenon, is a major health problem in most countries. Yet data relating to the role social factors play in the development of this condition are lacking, with some factors shrouded in greater ambiguity than others. As such, this review aimed to determine the prevalence of social-related factors resulting in suicide and to present these findings through meta-analyses, allowing for causes of heterogeneity to be examined. METHODS: Scientific databases including PubMed and Science direct were searched using sensitive keywords. Two researchers reviewed the eligibility of studies and extracted data. Meta-regression with the Mantel-Haenszel method was conducted using a random effect model, in addition to subgroup analysis and Egger's test. RESULTS: A total of 2,526 articles were retrieved through the initial search strategy, producing 20 studies from 16 provinces for analysis. The most frequent cause of attempted suicide among the 20 analyzed articles was family conflict with 32% (95% CI: 26-38). Other related factors included marital problems (26%; 95% CI: 20-33), economic constrains (12%; 95% CI: 8-15) and educational failures (5%; 95% CI: 3-8). Results of meta-regression analysis found that sample size significantly affects heterogeneity for the factor 'family conflict'. CONCLUSIONS: Social factors such as family conflicts and marital problems have a noticeable role in Iranian suicidology.
Keywords: Humans
Risk Factors
Socioeconomic Factors
Family Conflict
Rights: © 2013 Nazarzadeh et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI: 10.1186/1471-2458-13-4
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