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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