Abstract
Background: In Sub-Saharan Africa (SSA), several women and children are significantly affected by female genital mutilation (FGM), but there is limited studies on the prevalence and determinants of FGM due to a combination of factors, including cultural-political barriers, funding constraints, and ethical concerns. This study aims to address this gap by examining the current prevalence and determinants of FGM in ten at-risk countries in SSA. Methods: This cross-sectional study utilised Demographic and Health Survey (DHS) data of 129,182 women aged 15–49 years from ten at-risk countries. The included countries are Guinea, Mali, Sierra Leone, Burkina Faso, Gambia, Mauritania, Ethiopia, Nigeria, Chad, and Liberia. Data were sample-weighted and our dependent variable was mutilation status whereas women’s socio-demographic characteristics constituted the independent variables. Multivariable modified Poisson regression analyses were performed, with a p-value threshold of < 0.05 used to determine statistical significance. Results: The pooled prevalence of FGM across the ten Sub-Saharan African (SSA) countries was 53.5% (95% CI: 52.3–54.7). Older women demonstrated a higher likelihood of having undergone mutilation, with adjusted prevalence ratios (APRs) increasing from 2.69 (95% CI: 2.66–2.75) among women aged 20–24 to 2.86 (95% CI: 2.80–2.92) among those aged 45–49. Women with no formal education were significantly more likely to have undergone mutilation compared to those with secondary education or higher (APR = 2.53, 95% CI: 2.51–2.56). Rural residency was strongly associated with a higher prevalence of FGM (APR = 2.59, 95% CI: 2.56–2.61), as was unemployment compared to active employment (APR = 2.56, 95% CI: 2.54–2.58). Furthermore, women from poorer households were more likely to have undergone mutilation compared to those from wealthier households (APR = 2.66, 95% CI: 2.62–2.69). Conclusion: The overall FGM prevalence of 53.5% indicates a significant problem. Urgent interventions are needed and should consider significant factors including older age, lower education level, rural residency, women unemployment and poverty.
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Luoga, P., Paulo, H. A., Mbishi, J. V., Omary, H., Chombo, S., Andrew, J., … Addo, I. Y. (2025). Prevalence and determinants of female genital mutilation: current insights from ten at-risk countries in Sub-Saharan Africa. BMC Public Health, 25(1). https://doi.org/10.1186/s12889-025-22279-1
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