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Year : 2019  |  Volume : 32  |  Issue : 2  |  Page : 67-71

Intimate partner violence against Iranian women

1 Department of Epidemiology and Biostatistics, Neuroscience Research Center, Faculty of Health, Qom University of Medical Sciences, Iran
2 Department of Nursing, Faculty of Nursing, Arak University of Medical Sciences, Arak, Iran
3 Department of Nursing, Faculty of Nursing and Midwifery, Qom University of Medical Sciences, Qom, Iran
4 Department of Epidemiology, Faculty of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
5 Department of Public Health, Faculty of Health, Bushehr University of Medical Sciences, Bushehr, Iran
6 Department of Epidemiology and Biostatistics, Health Promotion Research Center, Faculty of Health, Zahedan University of Medical Sciences, Zahedan, Iran

Correspondence Address:
Hossein Ansari
Department of Epidemiology and Biostatistics, Health Promotion Research Center, Faculty of Health, Zahedan University of Medical Sciences, Zahedan
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0970-258X.275343

Background. WHO has identified intimate partner violence (IPV) as a health priority as it has considerable consequences on the physical and psychological health of women. We aimed to evaluate the prevalence of IPV in women of one of the central cities of Iran in addition to examining the effect of a women's job and spousal addiction on IPV. Methods. We did a cross-sectional study on 240 homemakers and nurse women, selected by a multistage random sampling method. Data were collected by a modified version of domestic violence CTS-2 of Straus questionnaire and were analysed by chi-square test and t test. Multivariate logistic regression was used to assess the predictors of physical IPV as the most important type of violence. Results. The mean (SD) age of the women and their husbands was 33.1 (8) and 37.8 (8.7) years, respectively. Verbal (95.4%) and psychological (80.8%) violence were the most common while injury (14.6%) was the least prevalent. The prevalence of physical violence was 28.8%. Based on the regression model, economic problems, history of divorce in the woman's family and spousal addiction were the highest predictors of violence (p<0.05). Discussion. Spousal addiction was related to higher violence against women in physical, psychological and injury dimensions. Increase of family support, removal of economic disparities and tackling drug addiction could be effective in decreasing violence.

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