Cross-National Associations between Age at Marriage and Intimate Partner Violence among Young Women: An Analysis of Demographic and Health Surveys from 48 Countries.
Carolina de Vargas Nunes CollAndrea WendtThiago Melo SantosAmiya BhatiaAluisio Jardim Dornellas de BarrosPublished in: International journal of environmental research and public health (2023)
We estimated the associations between age at first marriage and recent intimate partner violence (IPV) among women young women aged 20-24 years using data from demographic and health surveys (DHS) conducted at 48 low- and middle-income countries (LMICs). We fitted a multilevel logistic regression model controlling for sociodemographic covariates. Our pooled analyses revealed that age at marriage is strongly associated with past year IPV in a non-linear way, with steep reductions in violence when young women marry after age 15 and a continued decline in IPV for every year marriage is delayed up to age 24. The risk of physical IPV was 3.3 times higher among women married at age 15 (24.4%, 95% CI 19.7; 29.2%) compared to young women married at age 24 (7.5%, 95% CI 5.8; 9.2%). For sexual IPV, girls married at 15 had 2.2 times higher risk compared to those married at 24 (7.5%, 95% CI 5.6; 9.5% vs. 3.4%, 95% CI 2.7; 4.2%, respectively). For psychological IPV, the relative risk was 3.4 for the same comparison (married at 15: 20.1%, 95% CI 14.6; married at 24: 25.5% vs. 6.0%, 95% CI 3.4; 8.6%). Country specific analyses showed that, age at marriage was negatively associated with physical and psychological IPV in nearly half of the countries (n/48) and with sexual IPV in ten countries. Our findings underscore the importance of integrating violence prevention and response interventions into efforts to prevent child marriage, as well as the health, educations and social services young women access.
Keyphrases
- intimate partner violence
- mental health
- healthcare
- public health
- physical activity
- primary care
- adipose tissue
- clinical trial
- polycystic ovary syndrome
- health information
- machine learning
- single cell
- big data
- pregnancy outcomes
- quality improvement
- study protocol
- risk assessment
- cross sectional
- depressive symptoms
- insulin resistance