Social clustering of preference for female genital mutilation/cutting in south-central Ethiopia

Datos Bibliográficos

ID4615167
AutoresSarah Myers (0000-0003-0542-7540, University of Bristol, autor de correspondencia), Eshetu Gurmu (0000-0001-7487-0058, Addis Ababa University), A Alvergne (0000-0002-3151-9919, Institut des Sciences de l'Evolution de Montpellier), D Redhead (0000-0002-2809-8121, University of Groningen), Janet A Howard, Janet Howard (0000-0003-4882-9013, University of Bristol), Margaret A Gibson (0000-0001-7963-4759, University of Bristol, autor de correspondencia)
Año2025
Volumen9
Número9
Páginas1802-1814
Fecha de publicación2025-06-10
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaNature Human Behaviour (JOURNAL)
Identificadores de la revistaISSN: 2397-3374 • E-ISSN: 2397-3374
EditorialSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1038/s41562-025-02236-z
PMID40494899
OpenAlexW4411186642
IdiomaEN
Citas recibidas2
Referencias citadas50

Recent estimates indicate that half of Ethiopian girls aged 15-19 years have experienced female genital mutilation/cutting (FGMC). Establishing whether and how pro-FGMC norms are maintained through social transmission is a key priority for global eradication efforts. Here we present the first large-scale socio-centric social network study estimating social influence and social selection on preference for cutting female relatives using data from 5,163 Ethiopian Arsi Oromo adults. Statistical modelling, which accounts for network dependence in cross-sectional data, finds signals of 'contagion' within chatting, respect and money-borrowing networks. This indicates that social influence contributes to FGMC maintenance. We find no clear evidence of social selection within marriage-advice networks, suggesting these networks are not implicated in FGMC maintenance. Contrary to assumptions underpinning current eradication efforts, we find negligible evidence that FGMC is a social coordination norm (with only 6.3% endorsement) or an empirical or normative expectation. We conclude by making intervention design recommendations

Cluster analysis · Female circumcision · Gynecology · Preference · Sociology · Statistics · Demography · Female Genital Mutilation/Cutting Issues · Mathematics · Medicine · Psychology