Evidence map›Paper›PMID 40098091›Full record

ArticleBMC public health2025

Prevalence and determinants of female genital mutilation: current insights from ten at-risk countries in Sub-Saharan Africa.

Pankras Luoga, Heavenlight A Paulo, Jackline Vicent Mbishi, Huda Omary, Suleiman Chombo, John Andrew, Abdallah Zacharia, Isaac Y Addo

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Pankras LuogaDepartment of Development Studies, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania. luoga.pankras1@gmail.com.
Heavenlight A PauloDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Jackline Vicent MbishiDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Huda OmaryDepartment of Parasitology and Medical Entomology, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Suleiman ChomboDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
John AndrewUniversity of Galway, Galway, Ireland.
Abdallah ZachariaDepartment of Parasitology and Medical Entomology, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania.
Isaac Y AddoGeneral Practice Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodsThis 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.

resultsThe 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).

conclusionThe 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.

Indexed as

Circumcision, FemaleAdolescentAdultAfrica South of the SaharaCross-Sectional StudiesFemaleHealth SurveysHumansMiddle AgedPrevalenceRisk FactorsSocioeconomic FactorsYoung AdultDeterminantsDHSFemale genital mutilationSub-Saharan AfricaWomen

Identifiers

PMID40098091
PMCPMC11917055

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.