Table 2. Logistic regression model showing the relationship (Odds ratio) between background characteristics and women’s decision-making on sexual intercourse, condom use and reproductive health decision-making index in 27 sub-Saharan African countries, 2010–2016.
| Explanatory factors | Proportions N = 210,536 |
Decision-making on sexual intercourse | Decision-making on condom use | Reproduction health decision-making index |
|---|---|---|---|---|
| Model I Odds Ratio (OR) 95% CI |
Model I Odds Ratio (OR) 95% CI |
Model Odds Ratio (OR) 95% CI |
||
| Residence | ||||
| Urban | 73,097 | Ref | Ref | Ref |
| Rural | 137,439 | 0.58***(0.55–0.61) | 0.54***(0.51–0.57) | 0.51***(0.48–0.54) |
| Age | ||||
| 15–19 | 16,259 | 0.75***(0.70–0.79) | 1.05***(0.98–1.11) | 0.79***(0.74–0.84) |
| 20–24 | 39,968 | 1.07**(1.02–1.12) | 1.54***(1.47–1.62) | 1.20***(1.14–1.26) |
| 25–29 | 51,524 | 1.11***(1.06–1.16) | 1.54***(1.47–1.62) | 1.23***(1.17–1.29) |
| 30–34 | 43,210 | 1.14***(1.09–1.19) | 1.49***(1.43–1.56) | 1.25***(1.19–1.31) |
| 35–39 | 36,717 | 1.10***(1.05–1.16) | 1.39***(1.33–1.46) | 1.19***(1.32–1.25) |
| 40–44 | 25,567 | 1.04(0.99–1.09) | 1.21***(1.15–1.28) | 1.08**(1.03–1.14) |
| 45–49 | 20,075 | Ref | Ref | Ref |
| Wealth status | ||||
| Poorest | 42,002 | 0.44***(0.42–0.47) | 0.32***(0.30–0.34) | 0.33***(0.31–0.35) |
| Poorer | 42,981 | 0.53***(0.50–0.56) | 0.41***(0.39–0.44) | 0.42***(0.39–0.45) |
| Middle | 41,850 | 0.58***(0.55–0.62) | 0.49***(0.46–0.51) | 0.47***(0.45–0.51) |
| Richer | 42,003 | 0.72***(0.68–0.75) | 0.64***(0.60–0.67) | 0.63***(0.59–0.67) |
| Richest | 41,680 | Ref | Ref | Ref |
| Education | ||||
| No education | 88,230 | 0.19***(0.17–0.21) | 0.12***(0.11–0.13) | 0.11***(0.10–0.12) |
| Primary | 66,581 | 0.45***(0.41–0.49) | 0.40***(0.36–0.43) | 0.34***(0.30–0.38) |
| Secondary | 47,764 | 0.65***(0.60–0.72) | 0.56***(0.52–0.61) | 0.56***(0.50–0.63) |
| Higher | 7,961 | Ref | Ref | Ref |
| Religion | ||||
| Muslims | 76,621 | 0.39***(0.36–0.40) | 0.30***(0.29–0.32) | 0.29***(0.27–0.31) |
| Christians | 121,473 | Ref | Ref | Ref |
| Others | 12,442 | 0.54***(0.50–0.59) | 0.41***(0.38–0.45) | 0.40***(0.37–0.44) |
| Occupation | ||||
| Not working | 64,520 | 0.58***(0.56–0.60) | 0.67***(0.65–0.70) | 0.53***(0.51–0.56) |
| Working | 146,016 | Ref | Ref | Ref |
| Partner’s education | ||||
| No education | 72,118 | 0.25***(0.23–0.27) | 0.18***(0.17–0.19) | 0.17***(0.16–0.19) |
| Primary | 59,380 | 0.56***(0.53–0.61) | 0.58***(0.55–0.62) | 0.51***(0.47–0.55) |
| Secondary | 62,269 | 0.80***(0.75–0.86) | 0.73***(0.69–0.78) | 0.75***(0.70–0.81) |
| Higher | 16,769 | Ref | Ref | Ref |
| Country | ||||
| Benin | 11,045 | Ref | Ref | Ref |
| Burundi | 5,424 | 1.55***(1.44–1.65) | 3.40***(3.18–3.65) | 3.24***(3.00–3.50) |
| Cameroon | 4,682 | 2.73***(2.53–9.94) | 2.40**(2.24–2.57) | 3.08***(2.84–3.34) |
| Chad | 4,553 | 0.65***(0.61–0.70) | 0.29***(0.27–0.32) | 0.62***(0.57–0.66) |
| Comoros | 3,087 | 0.76***(0.70–0.82) | 1.56***(1.44–1.69) | 1.05***(0.97–1.14) |
| Congo | 6,259 | 1.80***(1.70–1.89) | 1.00(0.94–1.05) | 2.05***(1.95–2.17) |
| Congo DR | 12,119 | 2.47***(2.31–2.63) | 2.83***(2.66–3.02) | 4.52***(4.18–4.89) |
| Cote d’voire | 6,290 | 1.09**(1.03–1.16) | 1.10**(1.04–1.18) | 1.24***(1.16–1.32) |
| Ethiopia | 10,225 | 1.06*(1.00–1.11) | 0.98(0.92–1.03) | 1.18***(1.11–1.24) |
| Gabon | 4,383 | 4.55***(4.18–4.94) | 6.55***(6.04–7.10) | 7.74***(6.96–8.61) |
| Gambia | 6,763 | 0.86***(0.81–0.91) | 1.19***(1.12–1.26) | 1.00(0.94–1.07) |
| Ghana | 5,382 | 2.64***(2.46–2.84) | 3.29***(3.08–3.53) | 3.35***(3.10–3.62) |
| Guinea | 6,727 | 0.66***(0.62–0.70) | 0.58***(0.54–0.62) | 0.69***(0.65–0.74) |
| Kenya | 8,679 | 2.31***(2.18–2.45) | 3.61***(3.40–3.83) | 3.38***(3.17–3.61) |
| Lesotho | 1,662 | 2.69***(2.38–3.04) | 26.14***(21.07–32.43) | 20.06***(15.29–26.33) |
| Liberia | 5,382 | 4.79***(4.42–5.18) | 2.12***(1.99–2.26) | 4.90***(4.61–5.33) |
| Malawi | 15,577 | 2.92***(2.78–3.08) | 6.45***(6.11–6.81) | 5.96***(5.60–6.33) |
| Mali | 7,509 | 0.22***(0.21–0.23) | 0.37***(0.34–0.39) | 0.29***(0.27–0.31) |
| Mozambique | 9,337 | 1.13***(1.06–1.19) | 1.41***(1.33–1.49) | 1.58***(1.51–1.65) |
| Namibia | 3,090 | 9.99***(8.80–11.34) | 21.60***(18.84–24.75) | 22.30***(18.39–27.04) |
| Nigeria | 27,749 | 1.55***(1.48–1.62) | 1.06*(1.01–1.11) | 1.58***(1.51–1.65) |
| Niger | 9,866 | 0.44***(1.48–1.62) | 0.55***(0.52–0.58) | 0.54***(0.52–0.57) |
| Rwanda | 6,962 | 4.46***(4.15–4.79) | 8.45***(7.85–9.10) | 10.36***(9.27–11.46) |
| Sierra Leone | 10,800 | 2.11***(1.99–2.23) | 0.93*(0.88–0.98) | 1.94***(1.83–2.05) |
| Senegal | 10,390 | 0.34***(0.32–0.37) | 0.64***(0.60–0.67) | 0.49***(0.46–0.51) |
| Togo | 6,298 | 2,28***(2.01–2.60) | 2.10***(1.97–2.23) | 2.28***(2.13–2.44) |
| Uganda | 7,125 | 3.31***(3.10–3.54) | 2.92***(2.74–3.10) | 4.20***(3.90–4.52) |
| Zambia | 9,837 | 2.28***(2.16–2.42) | 5.72***(5.38–6.08) | 4.58**(4.28–4.90) |
| Zimbabwe | 6,155 | 2.50***(2.34–2.67) | 4.37***(4.09–4.68) | 4.78***(4.40–5.19) |
*p < 0.05
** p < 0.01
***p < 0.001