Table 3 Random-effects model estimation of odds ratio for different variables on 36 selected Sub- Saharan African countries.
Country(s) | Wealth index OR [95% CI] | Respondent’s education OR [95% CI] | Husband’s education OR [95% CI] | Place of residence OR [95% CI] |
---|---|---|---|---|
Angola 2015–2016 | 4.13 [3.13; 5.45] | 3.86 [2.48; 6.01] | 0.98 [0.71; 1.34] | 4.74 [3.21; 7.01] |
Benin 2017–2018 | 3.72 [3.04; 4.54] | 2.71 [2.24; 3.28] | 3.06 [2.49; 3.75] | 2.49 [2.05; 3.01] |
Burkina Faso 2010 | 4.43 [3.32; 5.92] | 3.53 [2.70; 4.62] | 3.21 [2.46; 4.18] | 6.31 [4.84; 8.22] |
Burundi 2016–2017 | 2.94 [2.42; 3.57] | 1.72 [1.41; 2.10] | 1.90 [1.53; 2.36] | 5.02 [4.04; 6.25] |
Cameroon 2018 | 5.31 [3.84; 7.35] | 10.13 [4.98; 20.62] | 3.84 [2.26; 6.53] | 3.96 [2.84; 5.53] |
Chad 2014–2015 | 2.27 [1.64; 3.13] | 2.46 [1.78; 3.39] | 3.15 [2.24; 4.45] | 5.44 [3.94; 7.52] |
Comoros 2012 | 2.14[1.59; 2.87] | 2.61 [1.85; 3.69] | 2.82 [1.93; 4.12] | 1.58 [1.17; 2.12] |
Congo Democratic Republic 2013–2014 | 2.21 [1.87; 2.62] | 1.05 [0.84; 1.31] | 0.63 [0.48; 0.83] | 1.87 [1.58; 2.22] |
Congo 2011–2012 | 2.50 [1.98; 3.15] | 2.13 [1.12; 4.05] | 3.86 [1.22; 12.15] | 2.90 [2.15; 3.92] |
Cote d'Ivoire 2011–2012 | 6.08 [4.03; 9.17] | 2.90 [2.02; 4.16] | 2.37 [1.63; 3.44] | 4.99 [3.32; 7.49] |
Eswatini 2006–2007 | 1.30 [0.89; 1.90] | 2.83 [1.13; 7.06] | 1.79 [0.92; 3.49] | 1.27 [0.84; 1.92] |
Ethiopia-2016 | 5.83 [4.07; 8.36] | 6.59 [4.52; 9.61] | 4.66 [3.08; 7.07] | 14.48 [10.42; 20.13] |
Gabon 2012 | 2.86 [2.24; 3.66] | 0.91 [0.59; 1.41] | 2.28 [1.26; 4.14] | 1.78 [1.19; 2.67] |
Gambia 2013 | 2.35 [1.62; 3.41] | 1.48 [1.03; 2.13] | 1.61 [1.12; 2.31] | 2.33 [1.57; 3.45] |
Ghana 2014 | 3.79 [3.11; 4.62] | 3.09 [2.35; 4.05] | 3.71 [2.67; 5.16] | 2.69 [2.21; 3.28] |
Guinea 2018 | 4.59 [3.24; 6.51] | 2.98 [2.15; 4.13] | 2.19 [1.58; 3.03] | 4.77 [3.41; 6.68] |
Kenya 2014 | 3.37 [2.79; 4.06] | 4.61 [2.74; 7.75] | 4.72 [2.58; 8.64] | 2.53 [2.12; 3.02] |
Lesotho 2014 | 2.14 [1.63; 2.82] | 2.09 [0.28; 15.72] | 3.03 [1.67; 5.49] | 1.60 [1.21; 2.12] |
Liberia 2013 | 2.63 [1.86; 3.71] | 1.84 [1.30; 2.59] | 1.54 [1.01; 2.34] | 2.40 [1.73; 3.34] |
Madagascar 2008–09 | 8.71 [5.58; 13.58] | 6.57 [2.89; 14.93] | 7.27 [2.97; 17.80] | 6.83 [4.83; 9.65] |
Malawi 2015–16 | 2.64 [2.26; 3.08] | 2.22 [1.62; 3.04] | 1.71 [1.24; 2.34] | 2.49 [2.09; 2.96] |
Mali 2018 | 2.48 [1.84; 3.33] | 1.75 [1.30; 2.36] | 2.56 [1.91; 3.43] | 2.77 [2.05; 3.73] |
Mozambique 2011 | 4.48 [3.47; 5.78] | 3.23 [2.34; 4.46] | 1.99 [1.44; 2.75] | 4.07 [3.21; 5.18] |
Namibia 2013 | 5.04 [3.83; 6.64] | 2.55 [1.32; 4.92] | 2.35 [1.43; 3.86] | 3.68 [2.74; 4.94] |
Niger 2012 | 1.81 [0.81; 4.04] | 3.38 [1.88; 6.05] | 0.56 [0.13; 2.32] | 6.78 [3.60; 12.78] |
Nigeria 2018 | 7.31 [6.03; 8.87] | 8.17 [6.29; 10.61] | 9.74 [6.98; 13.59] | 4.36 [3.66; 5.20] |
Rwanda 2014–15 | 2.26 [1.93; 2.66] | 1.78 [1.37; 2.31] | 1.46 [1.15; 1.84] | 2.31 [1.93; 2.78] |
Sao Tome and Principe 2008–09 | 1.24 [0.72; 2.13] | 1.26 [0.49; 3.22] | 3.91 [1.45; 10.56] | 2.01 [1.24; 3.25] |
Senegal 2010–11 | 4.52 [3.68; 5.55] | 2.97 [2.45; 3.59] | 3.32 [2.74; 4.03] | 4.24 [3.44; 5.22] |
Sierra Leone 2019 | 2.53 [1.95; 3.28] | 1.38 [1.06; 1.79] | 1.37 [1.06; 1.78] | 2.57 [1.98; 3.34] |
South Africa 2016 | 3.11 [2.40; 4.03] | 2.75 [0.83; 9.18] | 2.21 [0.93; 5.26] | 1.49 [1.10; 2.02] |
Tanzania 2015–2016 | 3.81 [3.07; 4.74] | 2.92 [2.04; 4.17] | 2.88 [1.84; 4.50] | 3.34 [2.71; 4.10] |
Togo 2013–2014 | 4.31 [3.35; 5.55] | 2.53 [1.92; 3.32] | 3.79 [2.57; 5.59] | 3.54 [2.79; 4.50] |
Uganda 2016 | 3.32 [2.78; 3.96] | 1.98 [1.39; 2.83] | 1.88 [1.21; 2.94] | 2.73 [2.29; 3.26] |
Zambia 2018 | 3.64 [2.84; 4.67] | 1.34 [0.86; 2.08] | 1.21 [0.71; 2.07] | 3.23 [2.53; 4.13] |
Zimbabwe 2015 | 3.48 [2.66; 4.55] | 1.63 [0.39; 6.76] | 3.62 [0.50; 26.31] | 3.59 [2.78; 4.64] |
\({\mathrm{I}}^{2}\) | 87.8% [84.1; 90.6] | 88.5% [85.1; 91.1] | 89.3% [86.2; 91.7] | 90.8% [88.3; 92.8] |
\({\uptau }^{2}\) | 0.1140 | 0.2268 | 0.2780 | 0.1644 |
95% PI | [1.52; 7.20] | [0.94; 6.95] | [0.84; 6.92] | [1.22; 8.46] |