| Literature DB >> 34614181 |
Bright Opoku Ahinkorah1, Edward Kwabena Ameyaw1,2, Abdul-Aziz Seidu3,4,5, Carolyne Njue1.
Abstract
BACKGROUND: This study examines the association between maternal healthcare service utilisation and circumcision of daughters in sub-Saharan Africa (SSA).Entities:
Keywords: antenatal care visits; female genital mutilation; health facility delivery; sub-Saharan Africa
Mesh:
Year: 2022 PMID: 34614181 PMCID: PMC9450640 DOI: 10.1093/inthealth/ihab066
Source DB: PubMed Journal: Int Health ISSN: 1876-3405 Impact factor: 3.131
Distribution of the study sample by country
| Countries | Year | Weighted N | Weighted % |
|---|---|---|---|
| Burkina Faso | 2010 | 10 419 | 15.15 |
| Chad | 2015 | 5763 | 8.38 |
| Ethiopia | 2016 | 3464 | 5.04 |
| Guinea | 2018 | 5431 | 7.90 |
| Kenya | 2014 | 6649 | 9.66 |
| Mali | 2018 | 3209 | 4.67 |
| Niger | 2012 | 2612 | 3.80 |
| Nigeria | 2018 | 7675 | 11.16 |
| Senegal | 2010–2011 | 7068 | 10.28 |
| Sierra Leone | 2019 | 7020 | 10.21 |
| Tanzania | 2016 | 6022 | 8.76 |
| Togo | 2013–2014 | 3448 | 5.01 |
| All countries | 68 775 | 100.00 |
Figure 1.Proportion of women with four or more ANC visits.
Figure 2.Proportion of women who delivery at a health facility.
Figure 3.Proportion of women with at least one daughter circumcised.
Association between independent variables and circumcision of daughters
| Variables | Weighted N | Weighted % | At least one daughter circumcised | χ2 | p-Value |
|---|---|---|---|---|---|
| Number of ANC visits | 179.54 | <0.001 | |||
| 0–3 | 33 774 | 48.11 | 17.18 | ||
| ≥4 | 35 001 | 50.89 | 11.60 | ||
| Place of delivery | 348.91 | <0.001 | |||
| Home | 26 020 | 37.83 | 20.30 | ||
| Health facility | 42 755 | 62.17 | 10.71 | ||
| Age (years) | 182.50 | <0.001 | |||
| 15–19 | 4755 | 6.91 | 5.22 | ||
| 20–24 | 14 594 | 21.22 | 7.99 | ||
| 25–29 | 18 025 | 26.21 | 12.58 | ||
| 30–34 | 14 020 | 20.39 | 17.95 | ||
| 35–39 | 10 440 | 15.18 | 20.31 | ||
| 40–44 | 5121 | 7.45 | 21.60 | ||
| 45–49 | 1819 | 2.64 | 24.05 | ||
| Wealth quintile | 68.83 | <0.001 | |||
| Poorest | 14 157 | 20.58 | 19.27 | ||
| Poorer | 13 791 | 20.05 | 16.08 | ||
| Middle | 13 664 | 19.87 | 15.39 | ||
| Richer | 13 857 | 20.15 | 12.49 | ||
| Richest | 13 306 | 19.35 | 8.14 | ||
| Education level | 569.37 | <0.001 | |||
| None | 37 631 | 54.72 | 20.66 | ||
| Primary | 17 387 | 25.28 | 6.46 | ||
| Secondary/higher | 13 757 | 20.00 | 7.02 | ||
| Marital status | 269.78 | <0.001 | |||
| Never married | 3148 | 4.58 | 1.79 | ||
| Married | 58 058 | 84.42 | 16.26 | ||
| Cohabiting | 4097 | 5.96 | 2.64 | ||
| Widowed/divorced/separated | 3472 | 5.05 | 7.41 | ||
| Place of residence | 106.26 | <0.001 | |||
| Urban | 21 795 | 31.69 | 9.53 | ||
| Rural | 46 980 | 68.31 | 16.57 | ||
| Exposure to newspaper/magazine | 576.31 | <0.001 | |||
| No | 59 705 | 86.81 | 15.97 | ||
| Yes | 9070 | 13.19 | 3.60 | ||
| Exposure to radio | |||||
| No | 26 266 | 38.19 | 16.64 | 66.63 | <0.001 |
| Yes | 42 509 | 61.81 | 12.92 | ||
| Exposure to television | 52.22 | <0.001 | |||
| No | 41 937 | 60.98 | 15.73 | ||
| Yes | 26 838 | 39.02 | 12.16 | ||
| Mother circumcised | |||||
| No | 32 533 | 47.30 | 2.91 | ||
| Yes | 36 242 | 52.70 | 24.61 | 1441.75 | <0.001 |
Results on the binary logistic regression analysis of the effect of maternal healthcare utilisation on circumcision of daughters
| One or more daughters has had FGM | ||
|---|---|---|
| Variables | Model 1, cOR (95% CI) | Model 2, aOR (95% CI) |
| Number of ANC visits | ||
| 0–3 | Reference | Reference |
| ≥4 | 0.63*** (0.59 to 0.68) | 0.89** (0.83 to 0.96) |
| Place of delivery | ||
| Home | Reference | Reference |
| Health facility | 0.47*** (0.43 to 0.51) | 0.52*** (0.48 to 0.57) |
| Age (years) | ||
| 15–19 | Reference | Reference |
| 20–24 | 1.58*** (1.33 to 1.87) | 1.71*** (1.43 to 2.03) |
| 25–29 | 2.61*** (2.22 to 3.08) | 2.75*** (2.32 to 3.26) |
| 30–34 | 3.97*** (3.35 to 4.71) | 4.13*** (3.46 to 4.94) |
| 35–39 | 4.63*** (3.87 to 5.53) | 4.65*** (3.87 to 5.59) |
| 40–44 | 5.00*** (4.16 to 6.01) | 4.81*** (3.99 to 5.79) |
| 45–49 | 5.75*** (4.66 to 7.09) | 4.94*** (3.97 to 6.14) |
| Wealth quintile | ||
| Poorest | Reference | Reference |
| Poorer | 0.80*** (0.73 to 0.88) | 0.89* (0.81 to 0.99) |
| Middle | 0.76*** (0.69 to 0.85) | 0.93 (0.83 to 1.04) |
| Richer | 0.60*** (0.53 to 0.67) | 0.82** (0.72 to 0.93) |
| Richest | 0.37*** (0.32 to 0.43) | 0.62*** (0.52 to 0.74) |
| Education level | ||
| None | Reference | Reference |
| Primary | 0.27*** (0.24 to 0.29) | 0.54*** (0.49 to 0.59) |
| Secondary | 0.29*** (0.26 to 0.33) | 0.79*** (0.70 to 0.89) |
| Marital status | ||
| Never married | Reference | Reference |
| Married | 10.65*** (7.98 to 14.24) | 4.60*** (3.41 to 6.22) |
| Cohabiting | 1.48* (1.02 to 2.16) | 1.36 (0.93 to 2.00) |
| Widowed/divorced/separated | 4.39*** (3.18 to 6.07) | 2.27*** (1.64 to 3.14) |
| Residence | ||
| Urban | Reference | Reference |
| Rural | 1.89*** (1.67 to 2.13) | 1.01 (0.86 to 1.18) |
| Exposure to newspaper/magazine | ||
| No | Reference | Reference |
| Yes | 0.20*** (0.17 to 0.23) | 0.50*** (0.43 to 0.58) |
| Exposure to radio | ||
| No | Reference | Reference |
| Yes | 0.74*** (0.69 to 0.80) | 0.99 (0.92 to 1.07) |
| Exposure to television | ||
| No | Reference | Reference |
| Yes | 0.74*** (0.68 to 0.80) | 1.75*** (1.60 to 1.92) |
| Mother circumcised | ||
| No | Reference | Reference |
| Yes | 10.98*** (9.41 to 12.64) | 9.75*** (8.40 to 11.32) |
Exponentiated coefficients.
*p<0.05, **p<0.01, ***p<0.001.
Results of the binary logistic regression on the effect of maternal healthcare utilisation and circumcision of daughters disaggregated by country
| Four or more ANC visits | Health facility delivery | |||
|---|---|---|---|---|
| Countries | Model 1, cOR (95% CI) | Model 2, aOR (95% CI) | Model 3, cOR (95% CI) | Model 4, aOR (95% CI) |
| Burkina Faso | 0.75*** (0.65 to 0.85) | 0.85* (0.74 to 0.98) | 0.55*** (0.48 to 0.62) | 0.72*** (0.61 to 0.81) |
| Chad | 0.57*** (0.48 to 0.69) | 0.83 (0.66 to 1.04) | 0.54*** (0.44 to 0.67) | 0.74* (0.56 to 0.99) |
| Ethiopia | 0.43*** (0.35 to 0.52) | 0.85 (0.68 to 1.07) | 0.26*** (0.21 to 0.33) | 0.60*** (0.47 to 0.78) |
| Guinea | 1.01 (0.90 to 1.14) | 1.33*** (1.16 to 1.53) | 0.59*** (0.53 to 0.66) | 0.71*** (0.62 to 0.82) |
| Kenya | 0.36*** (0.29 to 0.46) | 0.62** (0.47 to 0.81) | 0.29*** (0.23 to 0.36) | 0.83 (0.59 to 1.16) |
| Mali | 1.15 (0.99 to 1.33) | 0.92 (0.75 to 1.10) | 1.28** (1.09 to 1.51) | 1.08 (0.87 to 1.34) |
| Niger | 0.77 (0.50 to 1.20) | 1.12 (0.68 to 1.83) | 0.14*** (0.08 to 0.25) | 0.26*** (0.13 to 0.53) |
| Nigeria | 0.62*** (0.56 to 0.69) | 0.92 (0.80 to 1.06) | 0.38*** (0.34 to 0.43) | 0.52*** (0.44 to 0.61) |
| Senegal | 0.65*** (0.57 to 0.74) | 0.96 (0.82 to 1.12) | 0.37*** (0.32 to 0.42) | 0.74** (0.62 to 0.88) |
| Sierra Leone | 0.60* (0.52 to 0.91) | 0.74* (0.55 to 0.99) | 0.68** (0.54 to 0.85) | 0.85 (0.67 to 1.08) |
| Tanzania | 0.99 (0.42 to 2.34) | 1.15 (0.46 to 2.89) | 0.31*** (0.13 to 0.75) | 1.00 (0.36 to 2.79) |
| Togo | 0.67 (0.29 to 1.55) | 0.83 (0.32 to 2.15) | 0.29** (0.12 to 0.67) | 0.44 (0.16 to 1.22) |
Model 1: unadjusted model examining the independent association between the number of ANC visits and circumcision of daughters; model 2: adjusted for sociodemographic factors (age, education level, residence, wealth index, marital status, exposure to newspapers/magazines, exposure to radio, exposure to television and mother's circumcision status); model 3: unadjusted model examining the independent association between place of delivery and circumcision of daughters; model 4: adjusted for sociodemographic factors (age, education level, residence, wealth index, marital status, exposure to newspapers/magazines, exposure to radio, exposure to television and mother's circumcision status).
Exponentiated coefficients.
*p<0.05, **p<0.01, ***p<0.001.