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Domestic violence and decision-making power of married women in Myanmar: analysis of a nationally representative sample
- Source :
- Annals of Saudi Medicine, Vol 39, Iss 6, Pp 395-402 (2019)
- Publication Year :
- 2019
- Publisher :
- King Faisal Specialist Hospital and Research Centre, 2019.
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Abstract
- BACKGROUND: Women in Myanmar are not considered decision makers in the community and the physical and psychological effect of violence makes them more vulnerable. There is a strong negative reaction, usually violent, to any economic activity generated by women among poorer and middle-class families in Myanmar because a woman's income is not considered necessary for basic survival. OBJECTIVE: Explore the relationship between domestic violence on the decision-making power of married women in Myanmar. DESIGN: Cross-sectional. SETTING: National, both urban and rural areas of Myanmar. PATIENTS AND METHODS: Data from the Myanmar Demographic and Health Survey 2015-16 were used in this analysis. In that survey, married women aged between 15 to 49 years were selected for interview using a multistage cluster sampling technique. The dependent variables were domestic violence and the decision-making power of women. Independent variables were age of the respondents, educational level, place of residence, employment status, number of children younger than 5 years of age and wealth index. MAIN OUTCOME MEASURES: Domestic violence and decision-making power of women. SAMPLE SIZE: 7870 currently married women. RESULTS: About 50% respondents were 35 to 49 years of age and the mean (SD) age was 35 (8.4) years. Women's place of residence and employment status had a significant impact on decision-making power whereas age group and decision-making power of women had a relationship with domestic violence. CONCLUSION: Giving women decision making power will be indispensable for the achievement of sustainable development goals. Government and other stakeholders should emphasize this to eliminate violence against women. LIMITATIONS: Use of secondary data analysis of cross-sectional study design and cross-sectional studies are not suitable design to assess this causality. Secondly the self-reported data on violence may be subject to recall bias. CONFLICT OF INTEREST: None.
- Subjects :
- Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 02564947 and 09754466
- Volume :
- 39
- Issue :
- 6
- Database :
- Directory of Open Access Journals
- Journal :
- Annals of Saudi Medicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.451ed53f636841aa9b18672dc01684c0
- Document Type :
- article
- Full Text :
- https://doi.org/10.5144/0256-4947.2019.395