Table 3.
|
Height-for-age |
Weight-for-height |
||
---|---|---|---|---|
Full model | Final model | Full model | Final model | |
Intercept (Tanzania as reference) |
−1.96 (<0.001) |
−2.20 (<0.001) |
0.71 (0.003) |
0.51 (0.007) |
Bangladesh |
−0.09 (0.73) |
−0.14 (0.53) |
−1.02 (<0.001) |
−1.04 (<0.001) |
Brazil |
1.57 (<0.001) |
1.52 (<0.001) |
0.56 (0.02) |
0.55 (<0.001) |
Peru |
0.16 (0.50) |
0.14 (0.51) |
0.30 (0.19) |
0.27 0.09) |
India |
0.50 (0.03) |
0.48 (0.03) |
−1.26 (<0.001) |
−1.37 (<0.001) |
Pakistan |
0.18 (0.48) |
0.14 (0.56) |
−0.97 (<0.001) |
−1.07 (<0.001) |
Nepal |
0.18 (0.47) |
0.12 (0.55) |
0.33 (0.17) |
0.28 (0.06) |
South Africa |
−0.10 (0.68) |
−0.16 (0.40) |
0.88 (<0.001) |
0.85 (<0.001) |
Food access insecurity score (effect per unit score) |
−0.020 (0.009) |
−0.020 (0.008) |
0.011 (0.13) |
0.010 (0.13) |
Age |
−0.005 (0.24) |
|
−0.01 (0.005) |
−0.01 (0.004) |
Sex |
−0.03 (0.71) |
|
−0.08 (0.30) |
|
Water Source‡ |
0.38 (0.03) |
0.37 (0.03) |
−0.16 (0.33) |
|
Sanitation Facility‡ |
−0.03 (0.81) |
|
0.12 (0.35) |
|
Maternal education (years) |
0.02 (0.06) |
0.02 (0.06) |
−0.005 (0.69) |
|
Bank account |
−0.06 (0.57) |
|
−0.05 (0.62) |
|
People per room |
−0.06 (0.03) |
−0.06 (0.03) |
−0.02 (0.53) |
|
Adjusted R2 | 20.3% | 20.6% | 35.1% | 35.2% |
Rows contain effect estimates and p-values in parentheses.
‡Dichotomous variables measuring access to improved facilities based on WHO standards.