Evidence map›Paper›PMID 33917443›Full record

ArticleInternational journal of environmental research and public health2021

Analysing Normative Influences on the Prevalence of Female Genital Mutilation/Cutting among 0-14 Years Old Girls in Senegal: A Spatial Bayesian Hierarchical Regression Approach.

Ngianga-Bakwin Kandala, Chibuzor Christopher Nnanatu, Glory Atilola, Paul Komba, Lubanzadio Mavatikua, Zhuzhi Moore, Dennis Matanda

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ngianga-Bakwin KandalaDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK.
Chibuzor Christopher NnanatuDepartment of Mathematics, Physics & Electrical Engineering (MPEE), Northumbria University, Newcastle NE1 8ST, UK.ORCID 0000-0002-5841-3700
Glory AtilolaDepartment of Mathematics, Physics & Electrical Engineering (MPEE), Northumbria University, Newcastle NE1 8ST, UK.ORCID 0000-0002-4678-2015
Paul KombaDepartment of Mathematics, Physics & Electrical Engineering (MPEE), Northumbria University, Newcastle NE1 8ST, UK.
Lubanzadio MavatikuaDepartment of Mathematics, Physics & Electrical Engineering (MPEE), Northumbria University, Newcastle NE1 8ST, UK.
Zhuzhi MooreIndependent Consultant, Vienna, VA 22182, USA.
Dennis MatandaPopulation Council, Avenue 5, 3rd Floor, Rose Avenue, Nairobi, Kenya.

Funding

Wellcome Trust 107754/Z/15/Z
6 · The paper itself

Abstract

backgroundFemale genital mutilation/cutting (FGM/C) is a harmful traditional practice affecting the health and rights of women and girls. This has raised global attention on the implementation of strategies to eliminate the practice in conformity with the Sustainable Development Goals (SDGs). A recent study on the trends of FGM/C among Senegalese women (aged 15-49) which examined how individual- and community-level factors affected the practice, found significant regional variations in the practice. However, the dynamics of the practice among girls (0-14 years old) is not fully understood. This paper attempts to fill this knowledge gap by investigating normative influences in the persistence of the practice among Senegalese girls, identify and map 'hotspots'.

methodsWe do so by using a class of Bayesian hierarchical geospatial modelling approach implemented in R statistical software (R Foundation for Statistical Computing, Vienna, Austria) using R2BayesX package. We employed Markov Chain Monte Carlo (MCMC) techniques for full Bayesian inference, while model fit and complexity assessment utilised deviance information criterion (DIC).

resultsWe found that a girl's probability of cutting was higher if her mother was cut, supported FGM/C continuation or believed that the practice was a religious obligation. In addition, living in rural areas and being born to a mother from Diola, Mandingue, Soninke or Poular ethnic group increased a girl's likelihood of being cut. The hotspots identified included Matam, Tambacounda and Kolda regions.

conclusionsOur findings offer a clearer picture of the dynamics of FGM/C practice among Senegalese girls and prove useful in informing evidence-based intervention policies designed to achieve the abandonment of the practice in Senegal.

Indexed as

Circumcision, FemaleAdolescentAdultAustriaBayes TheoremChildChild, PreschoolFemaleHumansInfantInfant, NewbornMiddle AgedPregnancyPrevalenceSenegalYoung Adultbayesian hierarchical modellingFGM/Csocial normsspatial analysis

Identifiers

PMID33917443
PMCPMC8038707

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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 OpenQuestion graph.