Skip to main content
. 2019 Jun 4;14(6):e0217574. doi: 10.1371/journal.pone.0217574

Table 3. Multinomial logistic regression showing the effect of socio-demographic characteristics on the use of contraceptives with ‘not using any method’ as the base outcome.

Model 1
LARC Other methods
Characteristics RRR 95% CI RRR 95% CI
Age
15–24 1 1
25–34 2.04 1.88–2.23*** 1.51 1.45–1.57***
35+ 1.47 1.33–1.63*** 1.41 1.36–1.47***
Education
No education 1 1
Primary 2.15 1.92–2.40*** 1.82 1.74–1.91***
Secondary 3.19 2.80–3.63*** 2.42 2.29–2.57***
Higher 4.65 3.73–5.79*** 3.03 2.70–3.41***
Marital status
Never married 1 1
Married/ living with partner 11.24 9.69–13.05*** 6.38 6.01–6.77***
Widowed 2.72 2.13–3.48*** 1.43 1.30–1.58***
Separated 6.83 5.61–8.31*** 2.41 2.20–2.64***
Divorced 7.49 6.16–9.09*** 2.68 2.45–2.93***
Occupation
Unemployed 1 1
Managerial 1.35 1.13–1.60** 1.16 1.06–1.27**
Clerical/ agric 1.25 1.13–1.37*** 1.25 1.20–1.31***
Labour 1.42 1.30–1.55*** 1.3 1.25–1.35***
Wealth Index
Poorest 1 1
Poorer 1.19 1.07–1.33** 1.14 1.09–1.19***
Middle 1.37 1.22–1.53*** 1.16 1.10–1.22***
Richer 1.44 1.28–1.62*** 1.3 1.24–1.37***
Richest 1.65 1.44–1.89*** 1.23 1.16–1.31***
Mass media exposure
No exposure 1 1
At least one exposure 1.06 0.98–1.15 1.25 1.21–1.30***
Place of residence
Urban 1 1
Rural 0.85 0.76–0.96** 0.86 0.82–0.91***
Country
Cameroon 1 1
Chad 1.39 0.98–1.97 0.24 0.21–0.28***
Ghana 4.26 3.32–5.47*** 0.69 0.63–0.76***
Malawi 13.36 10.78–16.54*** 1.95 1.80–2.12***
Mali 2.86 2.17–3.77*** 0.28 0.25–0.32***
Rwanda 8.77 7.08–10.87*** 1.13 1.04–1.23**
Zambia 7.47 5.92–9.43*** 1.48 1.36–1.62***
Zimbabwe 10.02 8.03–12.51*** 2.31 2.12–2.51***

*p-value < 0.05;

**p-value < 0.01;

***p-value < 0.001