| Literature DB >> 32437387 |
Claudia Cappa1, Claire Thomson1, Colleen Murray1.
Abstract
Female genital mutilation is a harmful traditional practice that violates girls' right to health and overall well-being. Most research cites social acceptance, marriageability, community belonging, proof of virginity, curbing promiscuity, hygiene, and religion as motivations for the practice. It is generally assumed that individual attitudes of parents and other family members have an impact on decisions related to the cutting of girls, and that such attitudes are influenced by social norms. The aim of this study is to understand how parental attitudes towards the practice of female genital mutilation influence decision making related to the cutting of girls. Data from 15 Demographic and Health Surveys were analyzed to assess whether couples with at least one living daughter aged 0 to 14 years share the same opinions about the continuation of the practice, and to what extent couples' opinions are associated with the risk of daughters being cut. The analysis reveals that a significant percentage of couples hold discordant opinions on the continuation of the practice including in countries where the practice is very common. While a daughter's likelihood of being cut is much higher when both parents think the practice should continue, the analysis also shows that many cut girls have parents who oppose the practice. It further suggests that female genital mutilation is more prevalent among daughters whose mothers want the practice to continue and whose fathers are opposed or undecided, compared to daughters with fathers who are the sole parent supporting its continuation. Understanding the extent to which parental opinions influence decisions and which girls are most likely to be cut is essential for developing appropriate interventions aimed at promoting the abandonment of the practice.Entities:
Year: 2020 PMID: 32437387 PMCID: PMC7241784 DOI: 10.1371/journal.pone.0233344
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Data sources and categorization of countries by prevalence levels.
| Source | Prevalence among girls and women aged 15 to 49 years | Prevalence among girls aged 0 to 14 years | |
|---|---|---|---|
| Cameroon | DHS 2004 | 1.4 (0.7–2.2) | 0.8 (0.4–1.2) |
| Niger | DHS 2012 | 2.0 (1.3–2.6) | 1.8 (1.2–2.4) |
| Togo | DHS 2013–2014 | 4.7 (3.7–5.6) | 0.3 (0.2–0.5) |
| Benin | DHS 2011–2012 | 7.3 (6.6–7.9) | 0.2 (0.1–0.3) |
| United Republic of Tanzania | DHS 2004–2005 | 14.6 (13.2–16.1) | 4.2 (3.4–5.0) |
| Kenya | DHS 2014 | 21.0 (19.7–22.2) | 2.8 (2.4–3.3) |
| Senegal | DHS 2017 | 24.0 (22.1–25.9) | 13.9 (12.2–15.7) |
| Nigeria | DHS 2013 | 24.8 (23.3–26.3) | 16.9 (15.4–18.4) |
| Côte d’Ivoire | DHS 2011–2012 | 38.2 (35.2–41.1) | 9.8 (8.3–11.3) |
| Chad | DHS 2004 | 44.9 (39.3–50.6) | 20.7 (17.6–23.8) |
| Ethiopia | DHS 2016 | 65.2 (61.9–68.5) | 15.7 (13.4–18.1) |
| Burkina Faso | DHS 2010 | 75.8 (74.1–77.5) | 13.3 (12.0–14.6) |
| Sierra Leone | DHS 2013 | 89.6 (88.3–90.8) | 31.3 (29.9–32.7) |
| Mali | DHS 2012–2013 | 91.4 (90.2–92.7) | 67.6 (65.4–69.8) |
| Guinea | DHS 2018 | 94.5 (93.6–95.4) | 39.1 (37.3–40.8) |
*For Cameroon, Chad, Niger, Sierra Leone and Tanzania, the data refer to the percentage of girls and women aged 15 to 49 years with at least one living daughter who has undergone FGM. Data for Mali from the DHS 2012–2013 are not nationally representative, as some regions were excluded from data collection due to insecurity.
Fig 1Percentage distribution of couples with at least one living daughter aged 0 to 14, by whether they have concordant or discordant opinions about the continuation of the practice.
The “other” category includes couples for whom the opinion of one partner is missing, while the “missing” category includes couples for whom the opinions of both partners are missing. More detailed results are in S1 Table.
Fig 2Percentage of daughters who have undergone FGM, by parental opinions about the continuation of the practice.
More detailed results are included in S2 Table, including p values (<0.0001 for all countries). Missing bars represent results that were suppressed because they were based on fewer than 25 unweighted cases.