Table 3. Logistic regression analysis on RHDM capacity and pregnancy termination among women in SSA.
| Variables | Model 1 COR (95% CI) | Model 2 AOR (95% CI) |
|---|---|---|
| RHDM Capacity | ||
| Incapable | Ref | Ref |
| Capable | 1.48***[1.45–1.52] | 1.20***[1.17–1.24] |
| Age | ||
| 15–19 | Ref | |
| 20–24 | 1.74***[1.62–1.87] | |
| 25–29 | 2.63***[2.45–2.83] | |
| 30–34 | 3.46***[3.21–3.73] | |
| 35–39 | 4.36***[4.04–4.71] | |
| 40–44 | 5.22***[4.82–5.64] | |
| 45–49 | 5.54***[5.11–6.01] | |
| Educational level | ||
| No education | Ref | |
| Primary | 1.14***[1.10–1.17] | |
| Secondary | 1.08***[1.04–1.13] | |
| Higher | 0.94[0.87–1.02] | |
| Marital status | ||
| Married | Ref | |
| Cohabiting | 1.08***[1.04–1.11] | |
| Religion | ||
| Christianity | Ref | |
| Islam | 0.97[0.94–1.00] | |
| No region | 1.03[0.95–1.11] | |
| Other | 1.03[0.98–1.09] | |
| Employment | ||
| Not working | Ref | |
| Managerial | 1.17***[1.09–1.25] | |
| Clerical | 1.21***[1.11–1.32] | |
| Sales | 1.28***[1.24–1.33] | |
| Agricultural | 1.19***[1.15–1.24] | |
| Services | 1.35***[1.27–1.44] | |
| Manual | 1.29***[1.23–1.36] | |
| Parity | ||
| Zero birth | Ref | |
| One birth | 0.72***[0.68–0.77] | |
| Two births | 0.66***[0.62–0.70] | |
| Three births | 0.60***[0.57–0.64] | |
| Four or more births | 0.57***[0.54–0.60] | |
| Intention to use contraception | ||
| Using modern method | Ref | |
| Using traditional method | 0.97[0.72–1.32] | |
| Non-user intends to use later | 1.12 [0.93–1.34] | |
| Does not intend to use | 1.47***[1.39–1.56] | |
| Knowledge on contraceptives | ||
| Knows no method | Ref | |
| Knows only folkloric method | 1.25***[1.18–1.32] | |
| Knows traditional method | 1.21***[1.17–1.25] | |
| Knows modern method | 1.08***[1.05–1.12] | |
| Frequency of reading newspaper/Magazine | ||
| Not at all | Ref | |
| Less than once a week | 1.04[1.00–1.09] | |
| At least once a week | 0.97[0.93–1.02] | |
| Almost every day | 0.95[0.83–1.08] | |
| Frequency of watching Television | ||
| Not at all | Ref | |
| Less than once a week | 1.01[0.97–1.05] | |
| At least once a week | 1.04*[1.01–1.08] | |
| Almost every day | 1.16***[1.10–1.24] | |
| Frequency of listening to radio | ||
| Not at all | Ref | |
| Less than once a week | 1.13***[1.10–1.17] | |
| At least once a week | 1.10***[1.07–1.13] | |
| Almost every day | 1.11**[1.04–1.18] | |
| Wealth status | ||
| Poorest | Ref | |
| Poorer | 1.03[0.99–1.07] | |
| Middle | 1.00[0.96–1.04] | |
| Richer | 1.01[0.97–1.06] | |
| Richest | 1.06*[1.02–1.11] | |
| Place of residence | ||
| Urban | Ref | |
| Rural | 1.01[0.98–1.04] | |
| Country | ||
| Angola | Ref | |
| Burkina Faso | 1.13* [1.01–1.26] | |
| Benin | 0.54***[0.48–0.61] | |
| Burundi | 1.45***[1.31–1.61] | |
| Congo DR | 1.53***[1.38–1.69] | |
| Congo | 3.54***[3.19–3.92] | |
| Côte d'Ivoire | 1.73***[1.55–1.94] | |
| Cameroon | 2.58***[2.31–2.88] | |
| Ethiopia | 0.91[0.81–1.02] | |
| Gabon | 3.54***[3.18–3.93] | |
| Ghana | 1.90***[1.70–2.12] | |
| Gambia | 1.08[0.95–1.220] | |
| Guinea | 1.23***[1.09–1.38] | |
| Liberia | 1.82***[1.64–2.03] | |
| Lesotho | 0.93[0.78–1.12] | |
| Mali | 0.87*[0.77–0.99] | |
| Malawi | 0.96[0.86–1.06] | |
| Nigeria | 0.99[0.90–1.10] | |
| Namibia | 0.74***[0.64–0.85] | |
| Rwanda | 1.25***[1.11–1.39] | |
| Sierra Leone | 0.79***[0.71–0.89] | |
| Senegal | 2.10***[1.89–2.34] | |
| Chad | 1.28***[1.12–1.46] | |
| Togo | 1.00 [0.89–1.12] | |
| Uganda | 1.88***[1.69–2.08] | |
| Zambia | 1.01[0.91–1.12] | |
| Zimbabwe | 1.22***[1.10–1.36] | |
*p<0.05
** p<0.01
*** p<0.001; Ref: Reference; COR = Crude Odds Ratio; AOR = Adjusted Odds Ratio.