Das Tanu, Basu Roy Dr Tamal
Department of Geography, Raiganj University, Uttar Dinajpur, West Bengal, India.
SSM Popul Health. 2020 Nov 5;12:100691. doi: 10.1016/j.ssmph.2020.100691. eCollection 2020 Dec.
Despite successful enactment of Domestic Violence act, 2005 in India to protect Indian women from any kind of domestic violation offence, the decline trend of prevalence of spousal violence against women still remains low. The study aims to explain the factors associated with spousal violence against women through a multilevel modeling framework.
We used multilevel logistic regression model, basically here we carried out two-level random intercept model where the data base is used from National Family Health survey 2015-16 data for the fulfillment of our study objectives. A total 34,921 women, who were selected for 2015-16 domestic violence modules by NFHS, were included in this present study.
Result of multilevel logistic regression model showed that women who were belonged to poorest economic background, lived in rural areas, had low level of education or no education were at more risk in experiencing violence from their husband. Factors as large family size with more children in a household have a significant positive association with the prevalence of spousal violence against women. In case of higher level contextual variables unemployment, poverty has a crucial effect for upbringing spousal violence where higher literacy rate of a region has a strength that can reduce the probability of violence against women.
The Govt. promptness as a collective responsibility to enhance educational facilities for men and women, create employment opportunities and take policies for overall economic and societal development, these may change the individual perception of a person to cause the spousal violence against women.
尽管印度于2005年成功颁布了《家庭暴力法》以保护印度妇女免受任何形式的家庭侵犯罪行,但针对妇女的配偶暴力流行率的下降趋势仍然很低。该研究旨在通过多层次建模框架解释与针对妇女的配偶暴力相关的因素。
我们使用了多层次逻辑回归模型,基本上在这里我们进行了二级随机截距模型,其中数据库来自2015 - 16年全国家庭健康调查数据以实现我们的研究目标。本研究纳入了由NFHS为2015 - 16年家庭暴力模块挑选的总共34,921名妇女。
多层次逻辑回归模型的结果表明,经济背景最贫困、生活在农村地区、教育水平低或未受过教育的妇女遭受丈夫暴力的风险更高。家庭规模大且子女多等因素与针对妇女的配偶暴力流行率呈显著正相关。在较高层次的背景变量方面,失业、贫困对配偶暴力的滋生有至关重要的影响,而一个地区较高的识字率具有降低针对妇女暴力可能性的力量。
政府作为一项集体责任迅速采取行动,加强男女教育设施、创造就业机会并制定促进整体经济和社会发展的政策,这些可能会改变个人导致针对妇女的配偶暴力的观念。