| Literature DB >> 32490136 |
Abstract
BACKGROUND: Female genital cutting (FGC), which poses risks to the health of girls, has proved remarkably persistent in many communities in Africa, despite decades of efforts to discourage it. The social coordination norm model of FGC attributes this persistence to high social costs for uncut women, such as exclusion from marriage markets or social support networks. OBJECTIVE/Entities:
Keywords: Female circumcision; Female genital mutilation; Game theory; Readiness to change; Social convention
Year: 2020 PMID: 32490136 PMCID: PMC7256638 DOI: 10.1016/j.ssmph.2020.100593
Source DB: PubMed Journal: SSM Popul Health ISSN: 2352-8273
Fig. 1Readiness to change FGC categories combine a decision-maker's desired outcome for a girl (whether, ideally, she should be cut or not) with what will likely be chosen for her, among a group of decision-makers (whether, in reality, she was/will be cut or not).
Statements of FGC support; participants were asked to respond, “agree,” “not sure,” or “disagree”.
| Support | I see no problem with continuing the practice of female circumcision. |
| The way I see it, it is not acceptable to stop circumcising our girls. | |
| It is better if our girls are circumcised. | |
| Ambivalence | I think we need to consider ways of solving problems that do arise from female circumcision. |
| Things have changed from the past, and I think it is OK for us to think about making changes in the practice of female circumcision, too. | |
| People say different thing about female circumcision, and it is hard to know who is correct. | |
| Opposition | I would like to see female circumcision stop in my family. |
| I believe there are serious problems with female circumcision. | |
| The way I see it, female circumcision has no use. |
Sample characteristics.
| Study area (N) | |
| Rural Senegal | 265 |
| Rural Gambia | 319 |
| Urban Gambia | 636 |
| Total | 1220 |
| Age range (years) | 18–40 |
| Muslim (%) | 96 |
| Ethnicity (%) | |
| Wollof | 22 |
| Fula | 19 |
| Mandinka | 26 |
| Serahule | 4 |
| Jola | 9 |
| Aku Marabout | <1 |
| Sereer | 14 |
| Manjago | 2 |
| Makange | <1 |
| Balanta | <1 |
| Bambara | 2 |
| Other | 2 |
| School attendance (%) | |
| None | 28 |
| Arabic school only | 31 |
| Primary school | 21 |
| Secondary school | 18 |
| College | 2 |
| Marital Status (%) | |
| Never married | 6 |
| Currently married | 86 |
| Widowed | 2 |
| Divorced | 6 |
| Separated | <1 |
| Inter-ethnic parents (%) | 15 |
| In inter-ethnic marriage (%) | 28 |
| In FGC-incongruent marriage | 12 |
Husband's circumcision tradition does not match respondent's circumcision status.
Fig. 2FGC prevalence across communities defined as shared ethnic group and locality (village). Bars show 95% bootstrapped confidence intervals.
Fig. 3FGC prevalence across communities (defined by shared ethnicity and locality).
Multilevel mixed-effects logistic regression models of the outcome FGC status.
| Level 1/fixed effects: | ||||
| Ethnicity | ||||
| Mandinka | Reference | Reference | ||
| Wollof | −6.02 | 0.000 | −0.87 | 0.000 |
| Fula | −1.85 | 0.000 | −0.26 | 0.000 |
| Serahule | −0.05 | 0.950 | −0.00 | 0.951 |
| Jola | −1.82 | 0.000 | −0.26 | 0.000 |
| Aku Marabout | −3.52 | 0.000 | −0.61 | 0.000 |
| Sereer | −3.75 | 0.000 | −0.65 | 0.000 |
| Manjago | −6.70 | 0.000 | −0.89 | 0.000 |
| Balanta | −2.57 | 0.012 | −0.42 | 0.059 |
| Bambara | −1.15 | 0.082 | −0.13 | 0.175 |
| Other | −1.14 | 0.044 | −0.13 | 0.107 |
| Level 2/random effect: Locality | ||||
| Variance | 0.606 | |||
| Likelihood ratio test ( | 0.000 | |||
| Level 1/fixed effects: | ||||
| Ethnicity | ||||
| Mandinka | Reference | Reference | ||
| Wollof | −6.02 | 0.000 | −0.87 | 0.000 |
| Fula | −1.85 | 0.000 | −0.26 | 0.000 |
| Serahule | −0.06 | 0.941 | −0.00 | 0.942 |
| Jola | −1.81 | 0.000 | −0.25 | 0.000 |
| Aku Marabout | −3.50 | 0.000 | −0.61 | 0.000 |
| Sereer | −3.75 | 0.000 | −0.66 | 0.000 |
| Manjago | −6.70 | 0.000 | −0.89 | 0.000 |
| Balanta | −2.57 | 0.012 | −0.42 | 0.060 |
| Bambara | −1.17 | 0.078 | −0.14 | 0.170 |
| Other | −1.15 | 0.042 | −0.13 | 0.104 |
| Age | 0.01 | 0.696 | 0.00 | 0.696 |
| Level 2/random effect: Locality | ||||
| Variance | 0.603 | |||
| Likelihood ratio test ( | 0.000 | |||
Coefficients and standard errors were inestimable for Mankange women due to small group size.
Responses to positive and negative FGC valuation survey items and factor loading.
| 643 | 63 | 114 | 0.01150 | ||
| 556 | 106 | 158 | −0.07250 | ||
| 351 | 175 | 293 | −0.05233 | ||
| 543 | 93 | 184 | 0.11201 | ||
| 559 | 81 | 180 | 0.09672 | ||
| Female circumcision does not cause any problems. | 490 | 110 | 220 | 0.27109 | −0.55339 |
| Circumcision is a very important tradition. | 690 | 60 | 69 | 0.34768 | −0.14182 |
| A bad part of the practice of female circumcision is that it is very painful. | 680 | 71 | 69 | 0.01152 | 0.21650 |
| Men prefer sex with uncircumcised women. | 131 | 441 | 248 | 0.05589 | 0.28961 |
| Girls can be trained even without being circumcised. | 658 | 63 | 99 | −0.16285 | 0.20800 |
| When you are circumcising your daughters, you have to spend too many resources. | 373 | 159 | 288 | 0.09108 | 0.31326 |
| 179 | 167 | 474 | −0.19439 | ||
| 224 | 295 | 302 | −0.04588 | ||
| 402 | 179 | 240 | −0.01006 | ||
| 260 | 277 | 284 | −0.01771 |
Items related to positive (top seven) and negative (bottom eight) valuation of FGC. For all items, participants were asked to respond, “agree,” “not sure,” or “disagree”. Factor analysis using Promax rotation yielded the factor loadings above. Coefficients ≥0.5 are shown in bold and were retained in calculating valuation scores; the Factor 1 score was labeled “Advantages” and Factor 2 “Heath Risks”.
Fig. 4Distribution of positive (Advantages) and negative (Health Risk) valuation scores for FGC. Upper panels show the overall distribution; lower panels show the distribution among cut and uncut women.
Multinomial logistic regression models of explicit valuation of FGC (advantages and health risk scores) and readiness to change FGC.
| Model 1: Positive valuation of FGC | ||||
| Willing Adherent (base outcome) | ||||
| Advantages score | 0.30 | 0.000 | ||
| Contemplator | ||||
| Advantages score | −0.62 | 0.086 | 0.05 | 0.310 |
| Willing Abandoner | ||||
| Advantages score | −3.74 | 0.000 | −0.26 | 0.000 |
| Reluctant Abandoner | ||||
| Advantages score | −2.88 | 0.000 | −0.09 | 0.003 |
| Model 2: Health risk valuation | ||||
| Willing Adherent (base outcome) | ||||
| Health risks score | −0.39 | 0.000 | ||
| Contemplator | ||||
| Health risks score | 1.15 | 0.002 | −0.01 | 0.773 |
| Willing Abandoner | ||||
| Health risks score | 5.30 | 0.000 | 0.31 | 0.000 |
| Reluctant Abandoner | ||||
| Health risks score | 4.01 | 0.000 | 0.09 | 0.000 |
| Model 3: Combined positive and health risk valuations 1 | ||||
| Willing Adherent (base outcome) | ||||
| Advantages score | 0.20 | 0.000 | ||
| Health risks score | −0.33 | 0.000 | ||
| Contemplator | ||||
| Advantages score | −0.57 | 0.127 | 0.02 | 0.666 |
| Health risks score | 1.10 | 0.004 | 0.01 | 0.888 |
| Willing Abandoner | ||||
| Advantages score | −3.35 | 0.000 | −0.17 | 0.000 |
| Health risks score | 5.02 | 0.000 | 0.26 | 0.000 |
| Reluctant Abandoner | ||||
| Advantages score | −2.50 | 0.000 | −0.05 | 0.084 |
| Health risks score | 3.72 | 0.000 | 0.07 | 0.004 |
All models included ethnic group, age, cut status, education, and marital status as control variables. The outcome Reluctant Adherent was not evaluated due to small group size (N = 3). Participants from the ethnic groups Aku Marabout, Mankange, and Balanta were excluded from models due to small group sizes.
1 Model 3 psuedo R2: 0.3262.
Fig. 5Average marginal effects of positive (Advantages) and negative (Health Risk) valuation of FGC on readiness to change FGC.