| Literature DB >> 25732681 |
Ngianga-Bakwin Kandala, Paul N Komba.
Abstract
This paper draws on household data to examine the prevalence of female genital mutilation (FGM) in Senegal and the effectiveness of the country's anti-FGM law in dealing with actual breaches and providing protection to the victims. The 2010-2011 Senegal Demographic Health Survey and Multiple Indicators Cluster Survey (SDHS-MICS) covers 14,228 women and their daughters. Logistic regression was used to investigate the geographic distribution of FGM across regions. For the enforceability of anti-FGM, desk research was used. Overall prevalence among women and daughters was 28.1% and 6.2%, respectively. Significant factors were sociodemographics, ethnicity, and region. This analysis shows both advantages and vulnerabilities of the anti-FGM law in relation to the issue of enforcement. It indicates that the law falls short of offering adequate protection to potential victims. FGM is a cultural and social norm imbedded predominantly in rural settings and as such, drives resistance to jettisoning FGM. Legislation has been one of the driving forces behind the eradication of the practice. © The American Society of Tropical Medicine and Hygiene.Entities:
Mesh:
Year: 2015 PMID: 25732681 PMCID: PMC4385784 DOI: 10.4269/ajtmh.14-0074
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
Baseline characteristics of the study population (women respondents; SDHS, 2010–2011)
| Variable | Women ( | Daughters ( |
|---|---|---|
| Mean age | 27.9 (0.09) | 27.8 (9.2) |
| Mean age | 43.5 (0.17) | 43.7 (14.2) |
| Education respondent | ||
| No education | 57.9 | 62.2 |
| Primary education | 21.8 | 20.0 |
| Secondary education | 18.3 | 16.9 |
| Higher education | 2.1 | 0.9 |
| Education partner | ||
| No education | 75.4 | 79.3 |
| Primary education | 11.9 | 10.4 |
| Secondary education | 9.2 | 7.8 |
| Higher education | 3.5 | 2.6 |
| Place of residence | ||
| Urban | 49.3 | 39.5 |
| Rural | 50.7 | 60.5 |
| Religion | ||
| Muslim | 95.4 | 95.4 |
| Christian | 4.2 | 4.0 |
| Animist/other | 0.4 | 0.6 |
| Wealth index | ||
| Poorest | 16.5 | 23.7 |
| Poorer | 17.9 | 22.8 |
| Middle | 19.9 | 22.7 |
| Richer | 22.3 | 17.4 |
| Richest | 23.5 | 13.4 |
| Respondent circumcised | ||
| Yes | 28.1 | 28.1 |
| No | 71.9 | 71.9 |
| Daughter circumcised | ||
| Yes | 9.4 | 9.4 |
| No | 90.6 | 90.6 |
| Ethnicity | ||
| Wolof | 38.7 | 33.0 |
| Poular/Fulani | 26.5 | 31.5 |
| Serer | 15.0 | 12.6 |
| Mandingue | 4.2 | 6.6 |
| Diola | 4.0 | 4.8 |
| Soninke | 2.3 | 2.3 |
| Other | 9.3 | 9.2 |
| State of residence | ||
| Dakar | 26.0 | 8.7 |
| Ziguinchor | 3.7 | 6.0 |
| Diourbel | 11.8 | 9.1 |
| Saint-Louis | 6.7 | 6.9 |
| Tambacounda | 4.6 | 7.2 |
| Kaolack | 7.5 | 8.9 |
| Thies | 12.9 | 8.4 |
| Louga | 7.2 | 8.1 |
| Fatick | 4.6 | 6.7 |
| Kolda | 4.1 | 6.9 |
| Matam | 3.8 | 6.6 |
| Kaffrine | 3.7 | 6.6 |
| Kedougou | 0.7 | 3.2 |
| Sedhiou | 2.9 | 6.7 |
Age ranges from 15 to 49 years of age.
Data are expressed as means (SEMs) or percentages using the population weight.
Figure 1.Political map of Senegal.
Baseline characteristics of the study population by women's FGM status (SDHS 2010)
| Variable | Circumcised ( | Not circumcised ( | |
|---|---|---|---|
| Mean age | 28.2 (9.3) | 27.9 (9.2) | 0.08 |
| Mean age | 42.7 (15.1) | 43.9 (14.3) | 0.46 |
| Education respondent | < 0.001 | ||
| No education | 3,727 (42.4) | 5,067 (57.6) | |
| Primary education | 1,108 (38.9) | 1,741 (61.1) | |
| Secondary education | 833 (34.0) | 1,614 (66.0) | |
| Higher education | 21 (15.2) | 117 (84.8) | |
| Education partner | 0.005 | ||
| No education | 3,315 (43.1) | 4,380 (56.9) | |
| Primary education | 486 (46.7) | 554 (53.3) | |
| Secondary education | 337 (42.7) | 452 (57.3) | |
| Higher education | 93 (34.8) | 174 (65.2) | |
| Place of residence | < 0.001 | ||
| Urban | 2,081 (35.6) | 3,773 (64.5) | |
| Rural | 3,608 (43.1) | 4,766 (56.9) | |
| Religion | < 0.001 | ||
| Muslim | 5,578 (40.9) | 8,064 (59.1) | |
| Christian | 84 (16.5) | 426 (83.5) | |
| Animist/other | 27 (35.5) | 49 (64.5) | |
| Wealth Index | < 0.001 | ||
| Poorest | 1,850 (55.9) | 1,459 (44.1) | |
| Poorer | 1409 (45.5) | 1,691 (54.5) | |
| Middle | 1,356 (41.7) | 1,895 (58.3) | |
| Richer | 746 (29.0) | 1,829 (71.0) | |
| Richest | 328 (16.5) | 1,665 (83.5) | |
| Ethnicity | < 0.001 | ||
| Wolof | 89 (2.0) | 4,464 (98.0) | |
| Poular/Fulani | 3,243 (69.4) | 1,432 (30.6) | |
| Serer | 67 (4.0) | 1,586 (96.0) | |
| Mandingue | 909 (89.6) | 105 (10.4) | |
| Diola | 392 (59.5) | 267 (40.5) | |
| Soninke | 270 (76.3) | 84 (23.7) | |
| Other | 719 (54.5) | 601 (45.5) | |
| State of residence | < 0.001 | ||
| Dakar | 266 (20.4) | 1,036 (79.6) | |
| Ziguinchor | 529 (61.8) | 327 (38.2) | |
| Diourbel | 9 (0.7) | 1,284 (99.3) | |
| Saint-Louis | 438 (45.0) | 535 (55.0) | |
| Tambacounda | 953 (87.0) | 142 (13.0) | |
| Kaolack | 86 (8.0) | 994 (92.0) | |
| Thies | 47 (3.8) | 1174 (96.2) | |
| Louga | 59 (5.5) | 1,008 (94.5) | |
| Fatick | 84 (10.1) | 748 (89.9) | |
| Kolda | 898 (85.9) | 147 (14.1) | |
| Matam | 869 (86.9) | 131 (13.1) | |
| Kaffrine | 113 (11.7) | 857 (88.3) | |
| Kedougou | 447 (92.0) | 39 (8.0) | |
| Sedhiou | 891 (88.4) | 117 (11.6) |
Data are expressed as means (SDs) or percentages.
P values for comparison between circumcised and not circumcised subjects.
Baseline characteristics of the study population by daughters' FGM status (SDHS 2010)
| Variable | Circumcised ( | Not circumcised ( | |
|---|---|---|---|
| Mean age | 31.4 (7.6) | 27.7 (9.3) | < 0.001 |
| Mean age | 45.2 (13.7) | 43.6 (14.2) | < 0.001 |
| Education daughters | < 0.001 | ||
| No education | 1,123 (12.8) | 7,671 (87.2) | |
| Primary education | 181 (6.3) | 2,668 (93.7) | |
| Secondary education | 36 (1.5) | 2,411 (98.5) | |
| Higher education | 0 (0.0) | 138 (100.0) | |
| Education partner | < 0.001 | ||
| No education | 1,056 (13.7) | 6,639 (86.3) | |
| Primary education | 121 (11.6) | 919 (88.4) | |
| Secondary education | 66 (8.4) | 723 (91.6) | |
| Higher education | 13 (4.9) | 254 (95.1) | |
| Place of residence | < 0.001 | ||
| Urban | 303 (5.2) | 5,551 (94.8) | |
| Rural | 1,037 (12.4) | 7,337 (87.6) | |
| Religion | < 0.001 | ||
| Muslim | 1,320 (9.7) | 12,322 (90.3) | |
| Christian | 12 (2.4) | 498 (97.6) | |
| Animist/other | 8 (10.5) | 68 (89.5) | |
| Wealth index | < 0.001 | ||
| Poorest | 548 (16.6) | 2,761 (83.4) | |
| Poorer | 368 (11.9) | 2,732 (88.1) | |
| Middle | 297 (9.1) | 2,954 (90.9) | |
| Richer | 101 (3.9) | 2,474 (96.1) | |
| Richest | 26 (1.3) | 1,967 (98.7) | |
| Ethnicity | < 0.001 | ||
| Wolof | 15 (0.3) | 4,538 (99.7) | |
| Poular/Fulani | 852 (18.2) | 3,823 (81.8) | |
| Serer | 4 (0.2) | 1,649 (99.8) | |
| Mandingue | 224 (22.1) | 790 (77.9) | |
| Diola | 61 (9.3) | 598 (90.7) | |
| Soninke | 42 (11.9) | 312 (88.1) | |
| Other | 142 (10.8) | 1,178 (89.2) | |
| State of residence | < 0.001 | ||
| Dakar | 28 (2.2) | 1,274 (97.8) | |
| Ziguinchor | 91 (10.6) | 765 (89.4) | |
| Diourbel | 2 (0.2) | 1,291 (99.8) | |
| Saint-Louis | 114 (11.7) | 859 (88.3) | |
| Tambacounda | 261 (23.8) | 834 (76.2) | |
| Kaolack | 4 (0.4) | 1,076 (99.6) | |
| Thies | 4 (0.3) | 1,217 (99.7) | |
| Louga | 25 (2.3) | 1,042 (97.7) | |
| Fatick | 5 (0.6) | 827 (99.4) | |
| Kolda | 251 (24.0) | 794 (76.0) | |
| Matam | 225 (22.5) | 775 (77.5) | |
| Kaffrine | 11 (1.1) | 959 (98.9) | |
| Kedougou | 48 (9.9) | 438 (90.1) | |
| Sedhiou | 271 (26.9) | 737 (73.1) |
Data are expressed as means (SDs) or percentages.
P values for comparison between circumcised and not circumcised subjects.
Marginal ORs of women and daughters across selected covariates (SDHS, 2010)
| Variable | Women marginal OR (95% CI) | Daughter marginal OR (95% CI) |
|---|---|---|
| Age groups of respondent (years) | ||
| ≤ 25 | 1.00 | 1.00 |
| 26–35 | 1.18 (1.02–1.37) | 3.07 (2.60–3.61) |
| 36–49 | 1.37 (1.16–1.62) | 2.61 (2.16–3.16) |
| Age groups of partner (years) | ||
| ≤ 30 | 1.00 | 1.00 |
| 31–40 | 0.75 (0.60–0.94) | 0.94 (0.75–1.17) |
| 41+ | 0.68 (0.55–0.83) | 0.56 (0.45–0.70) |
| Education respondent | ||
| No education | 1.00 | 1.00 |
| Primary education | 0.64 (0.55–0.75) | 0.52 (0.43–0.63) |
| Secondary education | 0.52 (0.44–0.63) | 0.18 (0.13–0.26) |
| Higher education | 0.32 (0.17–0.60) | 1.00 |
| Place of residence | ||
| Urban | 1.00 | 1.00 |
| Rural | 1.18 (1.01–1.38) | 1.24 (1.04–1.48) |
| Religion | ||
| Muslim | 0.01 (0.00–0.01) | 0.02 (0.01–0.03) |
| Christian | 0.001 (0.000–0.001) | 0.007 (0.003–0.014) |
| Animist/other | 1.00 | 1.00 |
| Wealth index | ||
| Poorest | 0.76 (0.58–1.01) | 0.76 (0.54–1.08) |
| Poorer | 0.84 (0.65–1.09) | 0.71 (0.50–0.99) |
| Middle | 0.95 (0.75–1.19) | 0.73 (0.53–1.01) |
| Richer | 1.04 (0.84–1.29) | 0.54 (0.38–0.76) |
| Richest | 1.00 | 1.00 |
| Ethnicity | ||
| Wolof | 1.00 | 1.00 |
| Poular/Fulani | 37.55 (30.2–46.8) | 6.79 (4.93–9.35) |
| Serer | 2.28 (1.62–3.22) | 0.25 (0.09–0.70) |
| Mandingue | 96.06 (69.0–133.7) | 6.35 (4.37–9.23) |
| Diola | 40.37 (29.1–56.0) | 4.04 (2.49–6.54) |
| Soninke | 71.96 (49.3–105.1) | 6.22 (3.87–9.99) |
| Other | 22.75 (17.55–29.5) | 4.23 (2.92–6.13) |
| State of residence | ||
| Dakar | 4.85 (3.41–6.89) | 0.51 (0.31–0.85) |
| Ziguinchor | 23.54 (15.9–34.8) | 2.69 (1.70–4.26) |
| Diourbel | 1.00 | 1.00 |
| Saint-Louis | 12.32 (8.66–17.5) | 1.76 (1.18–2.63) |
| Tambacounda | 84.03 (56.9–124.2) | 2.84 (1.93–4.18) |
| Kaolack | 1.62 (1.09–2.40) | 0.08 (0.03–0.22) |
| Thies | 1.27 (0.82–1.97) | 0.11 (0.04–0.31) |
| Louga | 0.78 (0.52–1.18) | 0.27 (0.16–0.45) |
| Fatick | 3.47 (2.29–5.25) | 0.21 (0.08–0.54) |
| Kolda | 62.51 (42.7–91.4) | 2.90 (1.97–4.26) |
| Matam | 61.40 (42.0–89.8) | 2.66 (1.82–3.90) |
| Kaffrine | 4.16 (2.80–6.18) | 0.20 (0.10–0.41) |
| Kedougou | 162.6 (98.0–269.7) | 0.87 (0.54–1.42) |
| Sedhiou | 64.34 (42.9–96.5) | 3.56 (2.38–5.33) |
Adjusted OR from standard logistic regression models for the sample of women respondents.
Adjusted OR from standard logistic regression models for the sample of daughters.