Table 3 Predictors of childhood undernutrition: results from two-level logistic regression analysis
From: A survey of undernutrition in children under three years of age in rural Western China
Characteristics | Null model | Random intercept model with individual variables |
|---|---|---|
Fixed effects (OR, 95% CI) | ||
Individual level variables | ||
Province | ||
Gansu | 1.18 (0.70, 1.99) | |
Guangxi | 1.25 (0.90, 1.74) | |
Guizhou | 2.15 (1.50, 3.08) | |
Jiangxi | 0.99 (0.71, 1.38) | |
Inner Mongolia | 0.41 (0.28, 0.60) | |
Ningxia | 0.49 (0.34, 0.72) | |
Qinghai | 0.82 (0.59, 1.14) | |
Sichuan | 1.77 (1.28, 2.45) | |
Xinjiang | 0.79 (0.58, 1.06) | |
Chongqing | 1.40 (0.97, 2.02) | |
Children’ age (months) | ||
0 ~ 6 | 1.00 (Reference) | |
7 ~ 12 | 1.27 (1.07, 1.50) | |
13 ~ 18 | 1.84 (1.55, 2.18) | |
19 ~ 24 | 2.41 (2.03, 2.86) | |
25 ~ 30 | 2.47 (2.06, 2.96) | |
31 ~ 36 | 2.86 (2.39, 3.41) | |
Parity | 1.05 (0.97, 1.13) | |
Gender | ||
girl | 1.00 (Reference) | |
boy | 1.27 (1.16, 1.39) | |
Currently breastfeeding | ||
no | 1.00 (Reference) | |
yes | 0.94 (0.76, 1.17) | |
Ethnicity | ||
Minority | 1.00 (Reference) | |
Han | 0.77 (0.65, 0.90) | |
Wealth index | ||
poor | 1.00 (Reference) | |
middle | 0.86 (0.76, 0.97) | |
rich | 0.79 (0.69, 0.90) | |
Mothers’ educations years | ||
no education | 1.00 (Reference) | |
1 ~ 5 | 0.89 (0.76, 1.05) | |
6 ~ 9 | 0.75 (0.64, 0.89) | |
10 ~ 12 | 0.47 (0.36, 0.61) | |
>12 | 0.52 (0.34, 0.79) | |
Mothers’ age (years) | ||
<20 | 1.00 (Reference) | |
20 ~ 29 | 0.88 (0.66, 1.17) | |
30 ~ 39 | 0.81 (0.60, 1.10) | |
40~ | 0.65 (0.39, 1.07) | |
Random effects | ||
County level variance (SE) | 0.67 (0.08) | 0.36 (0.05) |
VPC (latent variable method) | 17.0% | 9.8% |
PCV | Reference | 46.3% |
MOR (95% CI) | 2.18 (2.01,2.39) | 1.76 (1.65, 1.90) |