2019
DOI: 10.1186/s12978-019-0774-x
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Preventing female genital mutilation in high income countries: a systematic review of the evidence

Abstract: Background Female genital mutilation (FGM) is prevalent in communities of migration. Given the harmful effects of the practice and its illegal status in many countries, there have been concerted primary, secondary and tertiary prevention efforts to protect girls from FGM. However, there is paucity of evidence concerning useful strategies and approaches to prevent FGM and improve the health and social outcomes of affected women and girls. Methods We analysed peer-reviewe… Show more

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Cited by 21 publications
(17 citation statements)
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References 35 publications
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“…Sciences, Bielefeld University, Bielefeld, Germany. 4 Department of Population and Health, University of Cape Coast, Cape Coast, Ghana. 5 College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, Australia.…”
Section: Acknowledgementsmentioning
confidence: 99%
See 1 more Smart Citation
“…Sciences, Bielefeld University, Bielefeld, Germany. 4 Department of Population and Health, University of Cape Coast, Cape Coast, Ghana. 5 College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, Australia.…”
Section: Acknowledgementsmentioning
confidence: 99%
“…Predominantly, it is usually conducted on young females between infancy and adolescence, and infrequently on women [ 2 ]. At least, 3 million girls are estimated to be at risk of FGM yearly [ 2 , 4 ]. Over 200 million girls and women have experienced the act which occurs in more than 40 countries globally [ 2 , 4 ].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, wealthy females with higher education tend to have less likelihood of FGM/C [ 56 ], which is why our finding was anticipated. The observed variation between the rich and poor may imply that women’s economic empowerment may reduce FGM/C [ 64 ].…”
Section: Discussionmentioning
confidence: 99%
“…The variables were selected based on previous studies which revealed factors affecting the outcome variable. 31,[33][34][35][36] EDHS had a total of two community-level variables (residence and region). In this study, regions were recoded as large central (Tigray, Amhara, Oromia, and SNNPR), small peripheral regions (Gambela, Somalia, Benishangual, and Afar), and Metropolitans (Addis Ababa, Dire Dawa, and Harari), similar to previous studies.…”
Section: Independent Variablesmentioning
confidence: 99%