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The aim of this study was to determine the factors affecting the exposure of women in the 15–59 age group in Turkey to economic violence by their husbands/partners. The micro data set of the National Research on Domestic Violence against Women in Turkey, which was conducted by the Hacettepe University Institute of Population Studies, was employed in this study. The factors affecting women’s exposure to economic violence were determined using the binary logistic regression analysis. In the study, women in the 15–24, 25–34 and 35–44 age group had a higher ratio of exposure to economic violence compared to the reference group. Women who graduated from elementary school, secondary school, and high school had a higher ratio of exposure to economic violence compared to those who have never gone to school. Women’s exposure to physical, sexual and verbal violence was also important factor affecting women’s exposure to economic violence. The results obtained in this study are important in that they can be a source of information for establishing policies and programs to prevent violence against women. This study can also be a significant guide in determining priority areas for the resolution of economic violence against women.

Background Sexual violence is one of the most investigated types of violence by national and international decision makers. The purpose of this study was to detect the factors that affect sexual violence against women in Turkey. Methods In this study, a cross-sectional data set was employed from the survey titled the National Research on Domestic Violence against Women in Turkey, which was conducted by the Hacettepe University Institute of Population Studies. Binary logistic and probit regression analyses were used to determine the factors influential in women’s exposure to sexual violence. Results The findings obtained from the analyses indicated that women’s exposure to sexual violence was influenced by a variety of factors including region, age, level of education, employment status, health condition, marital status, number of children as well as exposure to physical, economic, and verbal abuse. In addition, it was determined that the level of education, employment status, drug use, infidelity and other variables related to the husband/partner of the women who participated in the survey affected the women’s exposure to sexual violence. Conclusion There remains a higher probability of exposure to sexual violence among women residing in rural and less developed regions. A decrease in the women’s level of education increased their probability of exposure to sexual violence. An increase in the women's age and an increase in the level of education of the women’s husbands/partners lowered the probability of their exposure to sexual violence. There was a higher probability of exposure to sexual violence among women who had experienced physical, economic, and verbal abuse.

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