Introduction: Emotional divorce has negative persistent effects on victims therefore, recognizing of risk factors is very important.One of the main reasons for emotional divorce is domestic violence against women. This study is aimed to investigate the relationships between violence against women with emotional divorce among married women in Tehran.
Methods: This research is an analytical-correlation study that investigates the relationship between domestic violence against women and emotional divorce. The study population consisted married women in Tehranm Iran in 2016. Cluster sampling (multi-stage) was used for choosing married women who are living with their husbands. The estimated sample involves 402 persons. To collect data, Guttmann emotional divorce questionnaire (2000) and Hajyahya domestic violence against women questionnaire (1988) were used. Data analysis was done by SPSS22 and Pearson, Spearman, and logistic regression analysis were performed.
Results: Results showed that there is a significant positive relationship between violence against women and emotional divorce; and dimensions of domestic violence against women predict between 40.2% to 53.7% of variance changes of emotional divorce. Among the demographic variables, economic and social status had a significant positive correlation with emotional divorce; and there was no significant relationship between age, duration of marriage, and number of children with emotional divorce.
Conclusions: Domestic violence against women imposes severe problems to the family. In order to reduce emotional divorce and formal divorce, more attention is needed to women experiencing domestic violence. The results of this study suggest policy makers and planners who work with families and women to pay attention to the role of domestic violence against women, focus on emotional divorce, and use it in their social policy planning and related interventions in the health sector. The formulation of policies and related interventions can also help reduce the official divorce statistics.