Table 3.
Multilevel logistic regression analysis for the receipt of vitamin A supplementation among children aged 6–59 months in twenty-three sub-Saharan African countries, 2011–2015, using pooled cross-sectional data from Demographic and Health Surveys
Model 0 | Model 1 | |||||
---|---|---|---|---|---|---|
Variable | OR | 95 % CI | P value | OR | 95 % CI | P value |
Fixed effects, constant | 2·07 | 1·56, 2·75 | <0·001 | 1·44 | 0·70, 2·98 | 0·327 |
Maternal age (years) | ||||||
20–24 v. 15–19 | 1·10 | 1·06, 1·15 | <0·001 | |||
25–29 v. 15–19 | 1·20 | 1·15, 1·26 | <0·001 | |||
30–34 v. 15–19 | 1·27 | 1·21, 1·33 | <0·001 | |||
≥35 v. 15–19 | 1·31 | 1·25, 1·37 | <0·001 | |||
Maternal educational status | ||||||
Primary v. no education | 1·43 | 1·39, 1·47 | <0·001 | |||
Secondary or above v. no education | 1·72 | 1·67, 1·77 | <0·001 | |||
Type of place of residence | ||||||
Urban v. rural | 1·13 | 1·11, 1·16 | <0·001 | |||
Maternal occupational status | ||||||
Working v. not working | 1·29 | 1·26, 1·32 | <0·001 | |||
Mass media exposure score | ||||||
1–3 v. 0 | 1·33 | 1·30, 1·36 | <0·001 | |||
4–6 v. 0 | 1·52 | 1·47, 1·57 | <0·001 | |||
Sex of household head | ||||||
Female v. male | 1·03 | 1·00, 1·05 | 0·068 | |||
Marital status | ||||||
Currently in union/living with a man v. never in a union/formerly in a union | 1·03 | 1·00, 1·07 | 0·076 | |||
Sex of child | ||||||
Male v. female | 1·00 | 0·98, 1·02 | 0·930 | |||
Age of child (months) | ||||||
12–23 v. 6–11 | 1·63 | 1·58, 1·69 | <0·001 | |||
24–35 v. 6–11 | 1·38 | 1·34, 1·43 | <0·001 | |||
36–47 v. 6–11 | 1·24 | 1·20, 1·28 | <0·001 | |||
48–59 v. 6–11 | 1·15 | 1·11, 1·19 | <0·001 | |||
Contextual country factors | ||||||
GDP per capita PPP (thousands) | 0·95 | 0·88, 1·03 | 0·240 | |||
Proportion wıth media exposure score of 0 | 0·14 | 0·02, 0·82 | 0·029 | |||
Random effects | ||||||
Country-constant, variance | 0·486 | 0·363 | ||||
se | 0·143 | 0·107 |
GDP, gross domestic product, PPP, purchasing power parity.