The World Health Organization stipulated that intimate partner violence is one of the most common forms of violence against women and includes physical, sexual, and emotional abuse and controlling behaviors by an intimate partner. Opposition of women against any form of violence at home, beating by their husbands in particular, is a manifestation of readiness to assert their personal rights. This study used data from the 2011 Ethiopian Demographic and Health Survey to identify some predictors to determine attitudes of married Ethiopian women toward wife beating. The dataset used consisted of 5,818 married women of the reproductive age group 15 to 49 years. While 1,393 (24%) married women did not oppose wife beating, a total of 4,425 (76%) opposed the practice. In the binary multiple logistic regression analysis, age, economic status, level of education, employment status of a woman, number of children living in the household, region (federal administrative regions delineated on the basis of ethnicity), place of residence (urban vs. rural), religion, and husband's level of education have been included as possible socioeconomic and demographic determinants of women's attitudes toward wife beating. The findings showed that the predictors region, place of residence, number of living children in a household, and religion were significantly associated with women attitudes toward wife beating.
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http://dx.doi.org/10.1177/0886260517691524 | DOI Listing |
BMC Public Health
December 2024
School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Background: Intimate partner violence (IPV) includes any physical, sexual, or emotional harm experienced in any intimate relationship that results in negative outcomes. Zambia is one of the countries with the highest prevalence of IPV amongst women in sub-Saharan Africa. This study aims to investigate and describe the prevalence, associated risk factors, and geo-spatial distribution of IPV amongst women aged 15-49 years from the 2018 Zambia Demographic and Health Survey (ZDHS).
View Article and Find Full Text PDFPLoS One
December 2024
Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States of America.
Background: Lower empowerment of women is a critical social issue with adverse public health implications. In India, deeply ingrained gender norms shape a patriarchal structure that creates systemic disadvantages for women relative to men. These gender norms-socially constructed expectations about the roles, behaviors, and attributes of men and women-perpetuate inequality and limit women's opportunities.
View Article and Find Full Text PDFAfr J Reprod Health
October 2024
Department of Epidemiology, Population Biostatistics and Health Promotion; Faculty of Public Health; Universitas Airlangga, Surabaya, East Java, 60115, Indonesia.
Afr J Reprod Health
October 2024
Department of Sociology, University of Johannesburg, South Africa.
Understanding women's attitudes towards wife abuse and its effects on their reproductive choices is crucial for promoting gender equality in Southern Africa. However, a paucity of research has explored this relationship. Using IPUMS Demographic and Health Surveys data from 2011-2018 across eight Southern African nations, we analyzed 17,968 women's attitudes towards wife beating and their reproductive choices through a cross-sectional design and multilevel logistic regression models.
View Article and Find Full Text PDFBehav Sci (Basel)
October 2024
School of Health Sciences, Western Sydney University, Campbelltown Campus, Locked Bag 1797, Penrith, NSW 2751, Australia.
Many women justify intimate partner violence (IPV), resulting in adverse health outcomes. This study investigates the relationship between household ownership of information and communication technologies (ICTs), along with the frequency of listening to the radio and watching television with women's attitudes towards IPV in Bangladesh. The cross-sectional study analyzed a weighted sample of 20,032 women and used a multivariable logistic regression analysis to determine the association between predictor variables and outcome variables.
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