Domestic violence and its predictors among married women in reproductive age in Fagitalekoma Woreda, Awi zone, Amhara regional state, North Western Ethiopia

Abstract

Background: Violence against women is one of the most systematic and prevalent human rights abuses in the world. It is a form of discrimination and deeply rooted in power imbalances and structural inequality between women and men. Documenting the extent of the problem and associated factors is essential to develop public health interventions to tackle violence against women. Therefore, the objective of this study was to determine magnitude of domestic violence and identify its predictors among married women in the reproductive age in north western Ethiopia. Methods. Community-based cross-sectional study was conducted from February 15 to March 15, 2011 among 682 married women and 46 key informants. Systematic sampling technique was used to select respondents for the quantitative method. Purposive sampling was used to select in-depth interview key informants for and focus group discussants. Data were analyzed using SPSS window version 16.0. Binary logistic regression and multivariable logistic regression analysis were carried out to determine the prevalence and identify independent predictors of domestic violence against women. Statistical association was measured by adjusted odds ratios and 95% confidence intervals. Statistical significance was declared at P < 0.05. Result: The prevalence of domestic violence was 78.0%. About 73.3%, 58.4% and 49.1% of women reported different forms of psychological, physical and sexual violence, respectively. Alcohol consumption by husband (AOR = 1.9, 95%CI = 1.3, 2.8), being pregnant (AOR = 2.1, 95% CI = 1.4, 3.4), decision making power (AOR = 2.3, 95% CI = 1.5, 3.4) and annual income (AOR = 1.9, 95% CI = 1.1, 3.3) were predictors of domestic violence. Conclusion: The prevalence of domestic violence was very high as compared to other studies. Women's husband alcohol consumption, decision making power annual household income and being pregnant are some of the predictors of domestic violence against women. © 2013 Semahegn et al.; licensee BioMed Central Ltd.