Prevalence of female genital mutilation and associated factors among women and girls in Africa: a systematic review and meta-analysis
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Background Female genital mutilation (FGM) has zero health benefits. It can lead to short- and long-term risks and complications, including physical, sexual, and mental health and well-being of girls and women. It is a worldwide public health issue with more than 80% prevalence in Africa. It is a global imperative to strengthen work for the elimination, and the United Nations Sustainable Development Goal (SDG) strives to eliminate FGM and monitor the progress made. However, one of a challenge in tracking progress is establishing baseline prevalence data within regions and countries. Therefore, this review aimed to pool the prevalence of FGM in Africa and identify the promoting factors among women and girls. Methods This review was conducted according to the PRISMA checklist guideline. Both published and unpublished studies conducted from 2012 onwards were eligible. Studies written in non-English languages were excluded. To retrieve relevant studies; PubMed/Medline, Google Scholar, Science Direct, African Journals Online databases, and African Index Medicus (AIM) were searched using a combination of searching terms. The Newcastle-Ottawa Assessment Scale (NOS) tool was used to assess the quality of each included study. The Cochran’s Q chi-square and I 2 statistical tests were used to evaluate the heterogeneity of the included studies. The Funnel plot and Egger's regression test ( p value < 0.05) were used to evaluate meh publication bias. We used STATA for analysis and the overall and subgroup pooled effect size was estimated using the random effect model with DerSimonian and Laired pooled effect method. The overall prevalence of FGM and the adjusted odds ratio (AOR) with 95%CI (confidence interval) for contributing factors were calculated and presented using a forest plot. Result This study included 155 primary studies conducted on the prevalence and/or factors associated with FGM in Africa. The pooled prevalence of FGM was 56.4% (95%CI 49.7–63.6). The primary factors promoting the practice of FGM were family history of circumcision (AOR = 13.71, 95%CI 9.11−20.62), being a Muslim religion follower (AOR = 3.51, 95%CI 2.61−4.71), poor wealth index (AOR = 1.38, 95%CI1.27−1.51), higher age (AOR = 2.95, 95%CI 2.49−3.38), not attending formal education (AOR = 3.28, 95%CI 2.62−4.12), and rural residency (AOR = 2.27, 95%CI 1.84−2.80). Conclusion The prevalence of FGM in Africa was found to be high. This study also observed a variation in FGM prevalence across regions and countries and a slight temporal decline over the study period. As the global community enters the final decade dedicated to eliminating FGM, there remains much to be done to achieve the elimination goal.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.027 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it