Spatial variation of intimate partner violence and its public health implication: a cross-sectional study

亲密伴侣暴力的空间差异及其对公共卫生的影响:一项横断面研究

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Abstract

BACKGROUND/AIM: Intimate partner violence has a significant impact on people as individuals, as families, and as communities. The ripple effects extend beyond the immediate victims, straining healthcare systems, stifling economic productivity, and hindering social progress. The study aims to present the spatial distribution of intimate partner violence prevalence, identify socio-demographic and contextual predictors, and establish associations with public health indicators. METHODS: This is a secondary data analysis, using a nationally representative demographic and health survey (DHS) conducted in Nigeria. A two-stage stratified random sampling was employed in the standard DHS survey and 10,678 women of childbearing age were randomly selected for the intimate partner violence module. A Research Proforma of the selected variables from DHS was used to extract the data required for the study. Descriptive and inferential analyses were carried out on the data using Microsoft Excel dashboards, spatial map and random-intercept logistic regression. RESULTS: The study found the prevalence of intimate partner violence across the country to be 33.9%. Region and place of residence had significant association with intimate partner violence (p < 0.05). The multivariate analysis identified ethnicity difference of couple (OR = 1.23, 95% CI: 1.03-1.48), age (OR = 1.02, 95% CI: 1.01-1.03), sex of household head (OR = 2.19, 95% CI: 1.22-3.94), jealousy (OR = 1.67, 95%, CI: 1.50-1.86), family history of intimate partner violence (OR = 2.79, 95% CI: 2.29-3.40), and alcohol consumption (OR = 3.01, 95% CI 2.54-3.58) among other factors as the socio-demographic and contextual factors influencing intimate partner violence. Intimate partner violence also had a significant association with mental health, physical health, and sexual health. The spatial analysis done on the prevalence of intimate partner violence found a variation in the occurrence of intimate partner violence across the States of the country, while the probability of intimate partner violence obtained from the model ranges from 0.24 to 0.85. CONCLUSION: The study identified communities in Nigeria with higher probability of intimate partner violence (IPV). These communities should be priortised for targeted intervention, also it is recommended that laws on IPV should be strengthened at national and regional levels.

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