Afghan Women's Use of Violence against Their Children and Associations with IPV, Adverse Childhood Experiences and Poverty: A Cross-Sectional and Structural Equation Modelling Analysis.
Jane NdunguRachel JewkesMagnolia Ngcobo-SitholeEsnat D ChirwaAndrew GibbsPublished in: International journal of environmental research and public health (2021)
Children who experience violence from a parent are more likely to experience and perpetrate intimate partner violence (IPV) later in life. Drawing on cross-sectional data among married women enrolled in the baseline of a randomized control trial in Afghanistan, we assess risk factors for women's use of violence against their children, focused on women's own adverse childhood experiences and experiences of IPV, poverty, poor mental health and gender attitudes. Analysis uses logistic regression and structural equation modelling (SEM). In total 744 married women reported on their use of violence against a child, with 71.8% (n = 534) reporting this in the past month. In regression models, their own experiences of witnessing their mother being physically abused, poverty during childhood, current food insecurity, their husband using corporal punishment on their child, current IPV experience, and other violence in the home were all associated with increased likelihood of women reporting corporal punishment. In the SEM, three pathways emerged linking women's childhood trauma and poverty to use of corporal punishment. One pathway was mediated by poor mental health, a second was mediated by wider use of violence in the home and a third from food insecurity mediated by having more gender inequitable attitudes. Addressing the culture of violence in the home is critical to reducing violence against children, as well as enabling treatment of parental mental health problems and generally addressing gender equity.
Keyphrases
- mental health
- intimate partner violence
- polycystic ovary syndrome
- mental illness
- pregnancy outcomes
- young adults
- cervical cancer screening
- healthcare
- cross sectional
- breast cancer risk
- early life
- pregnant women
- adipose tissue
- insulin resistance
- childhood cancer
- machine learning
- drug induced
- smoking cessation
- combination therapy