Skip to main content

Table 3 Binary logistic regression on socio-economic status and unmet need for contraception among young women in SSA

From: Socio-economic and demographic predictors of unmet need for contraception among young women in sub-Saharan Africa: evidence from cross-sectional surveys

Variables Model I
cOR[95%CI]
Model II
AOR[95%CI]
Model III
AOR[95%CI]
Educational level    
No education Ref Ref Ref
Primary 1.11***[1.06–1.16] 1.07*[1.01–1.12] 1.18***[1.12–1.25]
Secondary/higher 1.15***[1.10–1.21] 1.13***[1.07–1.20] 1.27***[1.20–1.35]
Wealth status    
Poorest Ref Ref Ref
Poorer 1.01[0.96–1.06] 1.02[0.97–1.08] 1.01[0.95–1.06]
Middle 1.03[0.97–1.09] 1.03[0.97–1.09] 1.02[0.96–1.08]
Richer 0.98[0.93–1.04] 0.97[0.91–1.03] 1.01[0.95–1.08]
Richest 0.83***[0.78–0.89] 0.82***[0.76–0.88] 0.89**[0.81–0.97]
Age    
15–19   Ref Ref
20–24   0.74***[0.70–0.77] 0.74***[0.70–0.77]
Sex of household head
Male   Ref Ref
Female   1.31***[1.25–1.38] 1.30***[1.24–1.37]
Place of residence    
Urban   Ref Ref
Rural   0.88***[0.83–0.92] 0.95[0.90–1.00]
Marital status    
Married   Ref Ref
Cohabiting   1.55***[1.49–1.62] 1.35***[1.28–1.43]
Employment status    
Unemployed   Ref Ref
Employed   0.88***[0.85–0.91] 0.87***[0.83–0.90]
Religion    
Christianity   Ref Ref
Islam   1.09***[1.04–1.14] 0.98[0.92–1.04]
Traditional religion   0.99[0.88–1.12] 0.91[0.80–1.04]
No religion   1.16*[1.03–1.31] 1.04[0.92–1.18]
Frequency of reading newspaper/magazine
Not at all   Ref Ref
Less than once a week   0.87***[0.81–0.94] 0.93[0.87–1.01]
At least once a week   0.89*[0.82–0.97] 0.904*[0.83–0.99]
Frequency of watching television
Not at all   Ref Ref
Less than once a week   1.09**[1.02–1.16] 1.07[1.00–1.14]
At least once a week   1.09**[1.04–1.15] 1.01[0.95–1.07]
Parity    
Zero births   Ref Ref
One birth   2.03***[1.91–2.15] 2.08***[1.96–2.21]
Two births   2.43***[2.28–2.59] 2.49***[2.33–2.66]
Three or more births   2.97***[2.77–3.19] 2.99***[2.78–3.21]
Survey country    
Angola    4.51***[3.71–5.49]
Burkina Faso    3.39***[2.79–4.11]
Benin    5.39***[4.45–6.53]
Burundi    2.68***[2.18–3.31]
Congo DR    3.48***[2.89–4.20]
Congo    2.18***[1.75–2.71]
Côte d'Ivoire    3.84***[3.11–4.73]
Cameroon    3.07***[2.54–3.71]
Ethiopia    2.29***[1.87–2.80]
Gabon    3.14***[2.52–3.92]
Ghana    4.42***[3.52–5.56]
Gambia    2.90***[2.36–3.58]
Guinea    2.73***[2.21–3.37]
Kenya    2.42***[1.98–2.97]
Comoros    7.88***[6.21–9.99]
Liberia    5.03***[4.08–6.19]
Lesotho    2.29***[1.59–3.30]
Mali    2.60***[2.12–3.19]
Malawi    2.23***[1.86–2.69]
Mozambique    2.44***[1.98–3.02]
Nigeria    2.18***[1.79–2.65]
Namibia    2.26***[1.71–3.00]
Rwanda    1.39*[1.08–1.80]
Sierra Leone    3.73***[3.06–4.56]
Senegal    4.42***[3.63–5.37]
Chad    2.90***[2.40–3.51]
Togo    6.30***[5.10–7.77]
Uganda    3.28***[2.72–3.96]
Zambia    2.43***[2.00–2.96]
Zimbabwe    Ref
N 59,864   59,864
pseudo R2 0.001 0.025 0.043
  1. Exponentiated coefficients; 95% confidence intervals in brackets
  2. Ref reference, CI confidence intervals, COR crude odds ratio, AOR adjusted odds ratio
  3. *p < 0.05, **p < 0.01, ***p < 0.001