Literature DB >> 33577614

Evaluating changes in the prevalence of female genital mutilation/cutting among 0-14 years old girls in Nigeria using data from multiple surveys: A novel Bayesian hierarchical spatio-temporal model.

Chibuzor Christopher Nnanatu1,2, Glory Atilola1, Paul Komba1, Lubanzadio Mavatikua1, Zhuzhi Moore3, Dennis Matanda4, Otibho Obianwu5, Ngianga-Bakwin Kandala6,7.   

Abstract

Female genital mutilation/cutting (FGM/C) is considered a public health and human rights concern, mainly concentrated in Africa, and has been targeted for elimination under the sustainable development goals. Interventions aimed at ending the practice often rely on data from household surveys which employ complex designs leading to outcomes that are not totally independent, thus requiring advanced statistical techniques. Combining data from multiple surveys within robust statistical framework holds promise to provide more precise estimates due to increased sample size, and accurately identify 'hotspots' and allow for assessment of changes over time. In this study, rich datasets from six (6) successive waves of the Nigeria Demographic and Health Surveys and Multiple Indicator Cluster Surveys undertaken between 2003 and 2016/17, were combined and analyzed in order to better assess changes in the likelihood and prevalence of FGM/C among 0-14-year old girls in Nigeria. We used Bayesian hierarchical regression models which explicitly accounted for the inherent spatial and temporal autocorrelations within the data while simultaneously adjusting for variations due to different survey methods and the effects of linear and non-linear covariates. Parameters were estimated using Markov chain Mote Carlo techniques and model fit assessments were based on Deviance Information Criterion. Results show that prevalence of FGM/C among 0-14 years old girls in Nigeria varied over time and across geographical locations and peaked in 2008 with a shift from South to North. A girl was more likely to be cut if her mother was cut, supported FGM/C continuation, or had no higher education. The effects of mother's age, wealth and type of residence (urban-rural) were no longer significant in 2016. These results reflect the gains of interventions over the years, but also echo the belief that FGM/C is a social norm thus requiring tailored all-inclusive interventions for the total abandonment of FGM/C in Nigeria.

Entities:  

Year:  2021        PMID: 33577614      PMCID: PMC7880428          DOI: 10.1371/journal.pone.0246661

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  15 in total

1.  The risk of medical complications after female circumcision.

Authors:  M A Dirie; G Lindmark
Journal:  East Afr Med J       Date:  1992-09

2.  Structured additive regression for categorical space-time data: a mixed model approach.

Authors:  Thomas Kneib; Ludwig Fahrmeir
Journal:  Biometrics       Date:  2006-03       Impact factor: 2.571

3.  Female circumcision as a public health issue.

Authors:  N Toubia
Journal:  N Engl J Med       Date:  1994-09-15       Impact factor: 91.245

4.  The School Nurse's Role in Addressing Female Genital Mutilation.

Authors:  Barbara Nowak
Journal:  NASN Sch Nurse       Date:  2016-05-18

5.  Sexual function in women with female genital mutilation.

Authors:  Sharifa A Alsibiani; Abdulrahim A Rouzi
Journal:  Fertil Steril       Date:  2008-11-25       Impact factor: 7.329

6.  Understanding the association between parental attitudes and the practice of female genital mutilation among daughters.

Authors:  Claudia Cappa; Claire Thomson; Colleen Murray
Journal:  PLoS One       Date:  2020-05-21       Impact factor: 3.240

7.  Spatial modelling and mapping of female genital mutilation in Kenya.

Authors:  Thomas N O Achia
Journal:  BMC Public Health       Date:  2014-03-25       Impact factor: 3.295

8.  A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution.

Authors:  Duncan Lee; Alastair Rushworth; Sujit K Sahu
Journal:  Biometrics       Date:  2014-02-24       Impact factor: 2.571

9.  The ongoing violence against women: Female Genital Mutilation/Cutting.

Authors:  Jacinta K Muteshi; Suellen Miller; José M Belizán
Journal:  Reprod Health       Date:  2016-04-18       Impact factor: 3.223

10.  A Spatial Analysis of the Prevalence of Female Genital Mutilation/Cutting among 0-14-Year-Old Girls in Kenya.

Authors:  Ngianga-Bakwin Kandala; Chibuzor Christopher Nnanatu; Glory Atilola; Paul Komba; Lubanzadio Mavatikua; Zhuzhi Moore; Gerry Mackie; Bettina Shell-Duncan
Journal:  Int J Environ Res Public Health       Date:  2019-10-28       Impact factor: 3.390

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  4 in total

1.  Variations in the Prevalence of Female Genital Mutilation Among Reproductive-aged Women in Nigeria Across Three Generations.

Authors:  Chidimma Ezenwa Anyanwu; Kwasi Torpey; Olaiya Paul Abiodun; Olaniyi Felix Sanni; Ifeanyi Donald Anyanwu
Journal:  Int J MCH AIDS       Date:  2022-08-30

2.  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.

Authors:  Ngianga-Bakwin Kandala; Chibuzor Christopher Nnanatu; Glory Atilola; Paul Komba; Lubanzadio Mavatikua; Zhuzhi Moore; Dennis Matanda
Journal:  Int J Environ Res Public Health       Date:  2021-04-06       Impact factor: 3.390

3.  Somalian women with female genital mutilation had increased risk of female sexual dysfunction: a cross-sectional observational study.

Authors:  Abdikarim Hussein Mohamed; Rahma Yusuf Haji Mohamud; Hussein Ali Mohamud; Aşır Eraslan; Metin Gur; Abdikarim Ali Omar; Sertac Cimen
Journal:  Sci Rep       Date:  2022-09-17       Impact factor: 4.996

4.  Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey.

Authors:  Ngianga-Bakwin Kandala; Chibuzor Christopher Nnanatu; Natisha Dukhi; Ronel Sewpaul; Adlai Davids; Sasiragha Priscilla Reddy
Journal:  Int J Environ Res Public Health       Date:  2021-05-19       Impact factor: 3.390

  4 in total

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