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Table 2 Multilevel binary logistic regression results on the predictors of pregnancy termination among women with unmet/met need for contraception in sub-Saharan Africa

From: Contraception needs and pregnancy termination in sub-Saharan Africa: a multilevel analysis of demographic and health survey data

Variables

Model 0

Model 1 OR (95% CI)

Model 2 OR (95% CI)

Model 3 AOR (95% CI)

Individual level

 Unmet need for contraception

  Unmet need

 

1

 

1

  Met need

 

1.11*** (1.07, 1.12)

 

1.11*** (1.07, 1.12)

 Age

  15–19

 

1

 

1

  20–24

 

1.87*** (1.76, 1.98)

 

1.87*** (1.77, 1.98)

  25–29

 

2.86*** (2.69, 3.03)

 

2.87*** (2.71, 3.04)

  30–34

 

3.77*** (3.54, 4.01)

 

3.79*** (3.55, 4.03)

  35–39

 

4.73*** (4.43, 5.05)

 

4.76*** (4.46, 5.08)

  40–44

 

5.74*** (5.36, 6.14)

 

5.78*** (5.39, 6.18)

  45–49

 

6.17*** (5.72, 6.65)

 

6.22*** (5.77, 6.71)

 Level of education

  No education

 

1

 

1

  Primary

 

1.25*** (1.21, 1.28)

 

1.25*** (1.22, 1.29)

  Secondary

 

1.32*** (1.28, 1.36)

 

1.33*** (1.28, 1.37)

  Higher

 

1.13 (1.07, 1.20)

 

1.14 (1.08, 1.21)

 Marital status

  Single

 

1

 

1

  Married

 

1.68*** (1.60, 1.77)

 

1.66*** (1.58, 1.75)

  Cohabitation

 

2.58*** (2.45, 2.72)

 

2.53*** (2.39, 2.67)

  Widowed

 

1.45*** (1.31, 1.62)

 

1.49*** (1.34, 1.67)

  Separated

 

2.14*** (2.00, 2.31)

 

2.17*** (2.03, 2.32)

 Parity

  Zero birth

 

1

 

1

  One birth

 

0.75*** (0.71, 0.79)

 

0.75*** (0.71, 0.79)

  Two births

 

0.69*** (0.65, 0.72)

 

0.69*** (0.65, 0.72)

  Three births

 

0.63*** (0.61, 0.67)

 

0.63*** (0.61, 0.67)

  Four or more births

 

0.62*** (0.59, 0.66)

 

0.62*** (0.59, 0.66)

 Wealth status

  Poorest

 

1

 

1

  Poorer

 

1.02 (0.99, 1.06)

 

1.02 (0.99, 1.05)

  Middle

 

0.97*** (0.94, 1.01)

 

0.97*** (0.93, 0.99)

  Richer

 

0.98*** (0.95, 1.01)

 

0.95*** (0.92, 0.99)

  Richest

 

0.99*** (0.96, 1.03)

 

0.94*** (0.90, 0.98)

Community level

 Place of residence

  Urban

  

1

1

  Rural

  

0.89*** (0.86, 0.91)

0.92*** (0.91, 0.95)

 Sex of household head

  Male

  

1

1

  Female

  

0.93*** (0.91, 0.95)

0.93*** (0.91, 0.96)

 Socio-economic disadvantage

  Tertile 1 (Least disadvantage)

  

1

1

  Tertile 2

  

1.05* (1.01, 1.09)

1.10*** (1.06, 1.15)

  Tertile 3 (Most disadvantage)

  

1.03 (0.99, 1.07)

1.09*** (1.05, 1.14)

 Random effect result

  PSU variance (95% CI)

0.02 (0.1, 0.02)

0.02 (0.02, 0.03)

0.02 (0.01, 0.02)

0.02 (0.02, 0.03)

  ICC

0.57

0.71

0.58

0.71

  LR Test

χ2 = 158.11

p = 0.0000

χ2 = 196.68

p = 0.0000

χ2 = 157.85

p = 0.0000

χ2 = 200.96

p = 0.0000

  Wald chi-square

 

7504.43

135.42

7584.83

 Model fitness

  Log-likelihood

−114,738.7

−110,515.6

−114,671.1

−110,472.8

  BIC

229502.3

221330.9

229417.1

221295.2

  AIC

229481.3

221079.1

229354.2

221295.5

  N

265,505

265,505

265,505

265,505

  1. *p < 0.05 **p < 0.01 *** p < 0.001