From: Individual and contextual correlates of mosquito net use among women in Nigeria
Variable | Model 1a | Model 2b | Model 3c | Model 4d |
---|---|---|---|---|
aOR (CrI) | aOR (CrI) | aOR (CrI) | aOR (CrI) | |
Individual-level factors | ||||
Age | ||||
15–24 | 0.97 (0.82–1.14) | 0.94 (0.79–1.11) | 0.93 (0.78–1.09) | |
25–34 | 1.07 (0.92–1.23) | 1.07 (0.91–1.26) | 1.05 (0.89–1.23) | |
35+ | 1 (reference) | 1 (reference) | 1 (reference) | |
Education | ||||
No education | 1.01 (0.82–1.24) | 0.87 (0.69–1.08) | 0.86 (0.69–1.06) | |
Primary | 1.23 (1.01–1.48) | 1.17 (0.95–1.41) | 1.16 (0.94–1.41) | |
Secondary/higher | 1 (reference) | 1 (reference) | 1 (reference) | |
Household wealth index | ||||
Poor | 3.00 (2.33–3.87) | 2.40 (1.81–3.19) | 2.33 (1.76–3.05) | |
Middle | 2.32 (1.92–2.77) | 2.09 (1.71–2.56) | 2.09 (1.69–2.56) | |
Rich | 1 (reference) | 1 (reference) | 1 (reference) | |
Mosquito causes malaria | ||||
No | 1 (reference) | 1 (reference) | 1 (reference) | |
Yes | 2.10 (1.71–2.53) | 2.09 (1.73–2.51) | 2.08 (1.71–2.58) | |
Exposed to malaria messages | ||||
No | 1 (reference) | 1 (reference) | 1 (reference) | |
Yes | 1.39 (1.22–1.59) | 1.40 (1.22–1.61) | 1.39 (1.21–1.59) | |
Chances of getting malaria are the same | ||||
No | 1 (reference) | 1 (reference) | 1 (reference) | |
Yes | 1.46 (1.25–1.67) | 1.43 (1.25–1.65) | 1.46 (1.25–1.69) | |
Drugs for preventing malaria in pregnancy are effective | ||||
No | 1 (reference) | 1 (reference) | 1 (reference) | |
Yes | 2.39 (1.89–2.99) | 2.43 (1.93–3.06) | 2.38 (1.91–3.04) | |
Tests are a good way to detect malaria | ||||
No | 1 (reference) | 1 (reference) | 1 (reference) | |
Yes | 3.17 (2.29–4.19) | 3.23 (2.44–4.23) | 3.29 (2.54–4.33) | |
ACT is effective in treating malaria | ||||
No | 1 (reference) | 1 (reference) | 1 (reference) | |
Yes | 1.04 (0.87–1.25) | 1.05 (0.91–1.23) | 1.05 (0.87–1.22) | |
Number of household members | ||||
< 5 | 1.18 (1.02–1.36) | 1.21 (1.05–1.38) | 1.21 (1.05–1.39) | |
5+ | 1 (reference) | 1 (reference) | 1 (reference) | |
Community-level factors | ||||
Residence | ||||
Urban | 1 (reference) | 1 (reference) | ||
Rural | 1.001 (0.72–1.29) | 1.05 (0.77–1.39) | ||
Region | ||||
North Central | 1 (reference) | 1 (reference) | ||
North East | 1.29 (0.62–3.79) | 1.05 (0.55–2.15) | ||
North West | 1.44 (0.61–4.03) | 1.02 (0.43–2.40) | ||
South East | 0.46 (0.18–1.21) | 0.76 (0.39–1.39) | ||
South South | 1.02 (0.42–2.17) | 2.10 (1.05–3.84) | ||
South West | 0.76 (0.33–1.58) | 1.40 (0.77–2.46) | ||
Socioeconomic disadvantage | ||||
Tertile 1 (least disadvantaged) | 1 (reference) | 1 (reference) | ||
Tertile 2 | 2.07 (1.51–2.76) | 1.95 (1.39–2.59) | ||
Tertile 3 (most disadvantaged) | 2.73 (1.70–4.14) | 2.41 (1.35–4.49) | ||
State-level factors | ||||
Socioeconomic disadvantage | ||||
Tertile 1 (least disadvantaged) | 1 (reference) | |||
Tertile 2 | 2.41 (1.33–4.01) | |||
Tertile 3 (most disadvantaged) | 3.80 (1.37–9.05) | |||
Measures of variation | ||||
State level | ||||
Variance (SE) | 0.582 (0.322–0.989) | 0.551 (0.289–0.989) | 0.280 (0.125–0.523) | 0.192 (0.055–0.391) |
Explained variation (%) | Reference | 5.28 | 51.8 | 67.0 |
ICC (%) | 13.18 | 12.42 | 6.75 | 4.72 |
MOR | 2.07 | 2.03 | 1.66 | 1.52 |
Community level | ||||
Variance (SE) | 0.539 (0.409–0.689) | 0.596 (0.434–0.782) | 0.581 (0.432–0.762) | 0.581 (0.430–0.768) |
Explained variation (%) | Reference | −10.5 | −7.73 | −7.69 |
ICC (%) | 25.40 | 25.84 | 20.74 | 19.01 |
MOR | 2.01 | 2.09 | 2.07 | 2.07 |
Model fit statistics | ||||
Bayesian DIC | 7424 | 6525 | 6510 | 6514 |