Factors of Domestic Violence Against Women: Correlation of Women’s Rights and Vulnerability

2016 ◽  
Vol 53 (2) ◽  
pp. 285-296
Author(s):  
Bonkoungou Zakaliyat ◽  
A Sathiya Susuman

Many studies have looked into domestic violence but very few have considered women’s knowledge and perception about their rights. This study aims to examine the main sociocultural factors behind domestic violence against women with an emphasis on the power of the knowledge and perception of the women about their international and constitutional rights. Quantitative data collected in 2015 in the regions of East and Southwest Burkina Faso is used in this paper. Multivariate logistic regression is implemented to take into consideration the net effects of each factor when controlling the effects of other covariates. Results of this paper can be used to implement actions against domestic violence in the zone of intervention of the Program of Sexual Health and Human Rights project.

2021 ◽  
Vol 4 (4) ◽  
pp. 77
Author(s):  
Md. Murad Hossain ◽  
Md. Asadullah ◽  
Abidur Rahaman ◽  
Md. Sipon Miah ◽  
M. Zahid Hasan ◽  
...  

The COVID-19 outbreak resulted in preventative measures and restrictions for Bangladesh during the summer of 2020—these unstable and stressful times led to multiple social problems (e.g., domestic violence and divorce). Globally, researchers, policymakers, governments, and civil societies have been concerned about the increase in domestic violence against women and children during the ongoing COVID-19 pandemic. In Bangladesh, domestic violence against women and children has increased during the COVID-19 pandemic. In this article, we investigated family violence among 511 families during the COVID-19 outbreak. Participants were given questionnaires to answer, for a period of over ten days; we predicted family violence using a machine learning-based model. To predict domestic violence from our data set, we applied random forest, logistic regression, and Naive Bayes machine learning algorithms to our model. We employed an oversampling strategy named the Synthetic Minority Oversampling Technique (SMOTE) and the chi-squared statistical test to, respectively, solve the imbalance problem and discover the feature importance of our data set. The performances of the machine learning algorithms were evaluated based on accuracy, precision, recall, and F-score criteria. Finally, the receiver operating characteristic (ROC) and confusion matrices were developed and analyzed for three algorithms. On average, our model, with the random forest, logistic regression, and Naive Bayes algorithms, predicted family violence with 77%, 69%, and 62% accuracy for our data set. The findings of this study indicate that domestic violence has increased and is highly related to two features: family income level during the COVID-19 pandemic and education level of the family members.


Author(s):  
Gizem Guney

This chapter analyses the recently adopted Istanbul Convention in the special context of domestic violence against women. Before the adoption of the Convention, human rights bodies developed several approaches in order to address the issue in particularly last three decades. However, all these developments occurred within existing, mostly gender neutral and non-binding human rights law instruments, particularly in Europe. This picture has been reversed entirely by the adoption of the Istanbul Convention. For the first time in Europe, the Convention gave legally binding status to the fact that domestic violence in its nature is a manifestation of historically unequal power relations between women and men and therefore prevalent. This affirmation of the historical nature of the problem is strengthened through its 4(P)s structure bringing detailed measures to be taken by state parties to eliminate the problem. This chapter argues that the Istanbul Convention constitutes the strongest confirmation of the ordinary and structural nature of the problem of domestic violence against women within international human rights law.


2021 ◽  
Vol 9 (208) ◽  
pp. 1-22
Author(s):  
RENATIELY OLIVEIRA DE CARVALHO

This article aims to study domestic violence against women based on Law 11.340 / 06, known as the Maria da Penha Law on some gender perspectives on domestic violence, because there is so much domestic violence against women, there are studies by the foundation Perseu Abramo that approximately every 30 seconds a woman in Brazil is the victim of some type of violence, these are alarming numbers and Brazil has already been condemned in the UN cedaw committee for violating the human rights of women with a view to these numbers high and what can be done to address this problem. Obviously to face it is necessary to understand and that is why this article will address some of the reasons that justify the existence of so much domestic violence against women and initially it is important to understand what gender means and how this concept of income influences the problem of domestic violence against women. the woman.


Author(s):  
Kerle Dayana Tavares de Lucena ◽  
Rodrigo Pinheiro de Toledo Vianna ◽  
João Agnaldo do Nascimento ◽  
Hemílio Fernandes Coelho Campos ◽  
Elaine Cristina Tôrres Oliveira

ABSTRACT Objective: to analyze the association between domestic violence against women and quality of life. Method: a cross-sectional population-based household survey conducted with women 18 years and older, using a stratified sample by neighborhoods. For analysis, prevalence of domestic violence and quality of life index was verified and logistic regression was used to determine associations, with a significance level of 5%. Results: 424 women who had a prevalence of domestic violence of 54.4% and a quality of life index of 61.59 participated in this study. It was verified, through logistic regression, that domestic violence is associated with women's quality of life (p=0,017). The observed variables that influence the occurrence of domestic violence were in the social relations domain (p=0,000), provision of medical treatment for women (p=0,019) and safety (p=0,006). Conclusion: the study confirmed the evidence of an association between domestic violence against women and quality of life, a situation that reaffirms the importance of constructing public policies focused on gender emancipation.


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