Table 3 Results of binary logistic regression analysis of the influence of socio-economic status and other socio-demographic characteristics on FGM
| Variables | FGM among women | FGM among daughters |
|---|---|---|
|
Model I AOR (95%CI) |
Model I AOR (95%CI) | |
| Socio-economic variables | ||
| Wealth quintile | ||
| Poorest | Ref | Ref |
| Poorer | 0.76*** (0.72–0.79) | 0.81*** (0.76–0.85) |
| Middle | 0.74***(0.70–0.77) | 0.79***(0.75–0.84) |
| Richer | 0.65***(0.62–0.69) | 0.76***(0.71–0.80) |
| Richest | 0.51***(0.48–0.55) | 0.64***(0.59–0.70) |
| Education | ||
| No education | Ref | Ref |
| Primary | 0.80***(0.77–0.84) | 0.57***(0.53–0.60) |
| Secondary | 0.77***(0.73–0.80) | 0.61***(0.56–0.65) |
| Higher | 0.62***(0.57–0.68) | 0.32***(0.24–0.38) |
| Socio-demographic variables | ||
| Age | ||
| 15–19 | Ref | Ref |
| 20–24 | 1.11***(1.06–1.17) | 3.24***(2.78–3.75) |
| 25–29 | 1.21***(1.14–1.28) | 5.76***(4.98–6.66) |
| 30–34 | 1.34***(1.26–1.42) | 9.49***(8.20–10.97) |
| 35–39 | 1.48***(1.39–1.58) | 11.83***(10.23–13.69) |
| 40–44 | 1.60***(1.50–1.71) | 12.41***(10.71–14.39) |
| 45–49 | 1.85***(1.73–1.99) | 12.61***(10.86–14.64) |
| Residence | ||
| Urban | Ref | Ref |
| Rural | 0.81***(0.78–0.84) | 1.09**(1.03–1.15) |
| Marital status | ||
| Single | Ref | Ref |
| Married | 1.67***(1.59–1.75) | 8.24***(6.88–9.87) |
| Cohabitation | 1.06 (0.97–1.15) | 3.24***(2.78–4.49) |
| Widowed/divorced/separated | 1.50***(1.40–1.61) | 5.81***(4.78–7.05) |
| Occupation | ||
| Not working | Ref | Ref |
| Managerial | 1.13**(1.04–0.23) | 1.09(0.93–1.27) |
| Clerical | 0.97(0.83–1.13) | 0.83(0.62–1.11) |
| Sales | 1.07**(1.03–1.12) | 1.02(0.99–1.08) |
| Agricultural | 1.24***(1.19–1.29) | 0.99(0.93–1.08) |
| Household | 084***0.78–0.92) | 0.65***(0.53–0.81) |
| Services | 0.96(0.89–1.03) | 0.85**(0.77–0.95) |
| Manual | 1.11***(1.04–1.17) | 1.09* (1.02–1.18) |
| Other | 0.91(0.74–1.12) | 0.61*(0.42–0.90) |
| Frequency of reading newspaper/magazine | ||
| Not at all | Ref | Ref |
| Less than a week | 0.83***(0.79–0.88) | 0.72***(0.64–0.81) |
| At least once a week | 0.66***(0.62–0.70) | 0.61*** (0.52–0.71) |
| Frequency of listening to radio | ||
| Not at all | Ref | Ref |
| Less than once a week | 1.01(0.96–1.05) | 1.00(0.95–1.06) |
| At least once a week | 0.92***(0.88–0.95) | 0.99(0.94–1.04) |
| Frequency of watching television | ||
| Not at all | Ref | Ref |
| Less than once a week | 1.02(0.97–1.07) | 0.93*(0.87–0.99) |
| At least once a week | 0.94*(0.90–0.99) | 0.81***(0.75–0.86) |
| Survey country | ||
| Burkina Faso | Ref | Ref |
| Ethiopia | 0.89***(0.83–0.95) | 2.06***(1.87–2.26) |
| Guinea | 8.51***(7.64–9.49) | 4.20***(3.90–4.52) |
| Kenya | 0.17***(0.16–0.18) | 0.65*** (0.58–0.73) |
| Mali | 1.97***(1.79–2.16) | 12.47***(11.36–13.70) |
| Nigeria | 0.15***(0.14–0.16) | 2.49***(2.30–2.69) |
| Niger | 0.01***(0.01–0.02) | 0.24***(0.20–0.30) |
| Sierra Leone | 3.26***(3.06–3.18) | 3.35***(3.12–3.60) |
| Sengal | 0.21***(0.20–0.23) | 1.22***(1.11–1.33) |
| Chad | 0.29***(0.27–0.31) | 1.37***(1.25–1.50) |
| Togo | 0.03***(0.02–0.03) | 0.04***(0.03–0.06) |
| Tanzania | 0.04***(0.04–0.05) | 0.06***(0.04–0.08) |
| Pseudo R2 | 0.336 | 0.269 |