Evidence map›Paper›PMID 33092624›Full record

ArticleReproductive health2020

Socio-economic and demographic determinants of female genital mutilation in sub-Saharan Africa: analysis of data from demographic and health surveys.

Bright Opoku Ahinkorah, John Elvis Hagan, Edward Kwabena Ameyaw, Abdul-Aziz Seidu, Eugene Budu, Francis Sambah, Sanni Yaya, Eric Torgbenu, Thomas Schack

Open access · goldAbstract read
In one paragraph

Article in Reproductive health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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  16. Effect of Female Genital Mutilation on Sexual Function in Ibadan, Nigeria.International journal of sexual health : official journal of the World Association for Sexual Health · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 5 countries.

Bright Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
John Elvis HaganDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana.
Edward Kwabena AmeyawSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana. abdul-aziz.seidu@stu.ucc.edu.gh.ORCID http://orcid.org/0000-0001-9734-9054
Eugene BuduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Francis SambahDepartment of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana.
Sanni YayaSchool of International Development and Global Studies, University of Ottawa, Ottawa, Canada.
Eric TorgbenuDepartment of Physiotherapy and Rehabilitation Sciences, School of Allied Health Sciences, University of Health and Allied Sciences, Ho, Ghana.
Thomas SchackNeurocognition and Action-Biomechanics-Research Group, Faculty of Psychology and Sport Sciences, Bielefeld University, Bielefeld, Germany.
University of Cape Coast · GHUniversity of Technology Sydney · AUBielefeld University · DEGlobal Affairs Canada · CAUniversity of Health and Allied Sciences · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOwing to the severe repercussions associated with female genital mutilation (FGM) and its illicit status in many countries, the WHO, human rights organisations and governments of most sub-Saharan African countries have garnered concerted efforts to end the practice. This study examined the socioeconomic and demographic factors associated with FGM among women and their daughters in sub-Saharan Africa (SSA).

methodsWe used pooled data from current Demographic and Health Surveys (DHS) conducted between January 1, 2010 and December 31, 2018 in 12 countries in SSA. In this study, two different samples were considered. The first sample was made up of women aged 15-49 who responded to questions on whether they had undergone FGM. The second sample was made up of women aged 15-49 who had at least one daughter and responded to questions on whether their daughter(s) had undergone FGM. Both bivariate and multivariable analyses were performed using STATA version 13.0.

resultsThe results showed that FGM among women and their daughters are significantly associated with household wealth index, with women in the richest wealth quintile (AOR, 0.51 CI 0.48-0.55) and their daughters (AOR, 0.64 CI 0.59-0.70) less likely to undergo FGM compared to those in the poorest wealth quintile. Across education, the odds of women and their daughters undergoing FGM decreased with increasing level of education as women with higher level of education had the lowest propensity of undergoing FGM (AOR, 0.62 CI 0.57-0.68) as well as their daughters (AOR, 0.32 CI 0.24-0.38). FGM among women and their daughters increased with age, with women aged 45-49 (AOR = 1.85, CI 1.73-1.99) and their daughters (AOR = 12.61, CI 10.86-14.64) more likely to undergo FGM. Whiles women in rural areas were less likely to undergo FGM (AOR = 0.81, CI 0.78-0.84), their daughters were more likely to undergo FGM (AOR = 1.09, CI 1.03-1.15). Married women (AOR = 1.67, CI 1.59-1.75) and their daughters (AOR = 8.24, CI 6.88-9.87) had the highest odds of undergoing FGM.

conclusionBased on the findings, there is the need to implement multifaceted interventions such as advocacy and educational strategies like focus group discussions, peer teaching, mentor-mentee programmes at both national and community levels in countries in SSA where FGM is practiced. Other legislative instruments, women capacity-building (e.g., entrepreneurial training), media advocacy and community dialogue could help address the challenges associated with FGM. Future studies could consider the determinants of intention to discontinue or continue the practice using more accurate measures in countries identified with low to high FGM prevalence.

Indexed as

Socioeconomic FactorsAdolescentAdultAfrica South of the SaharaCircumcision, FemaleFemaleHealth SurveysHumansMarriageMiddle AgedNuclear FamilyPrevalencePublic HealthYoung AdultDaughtersFGMPublic healthSocioeconomicSSAWomen

Identifiers

PMID33092624
PMCPMC7584098
OpenAlexW3094229687

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.