Logistic regressions on being malnourished with background variables
| Logistic regression model | Type of intervention and conditions† | Adjusted | 95% CI | P value | ||
| Nutrition specific | Nutrition sensitive | Enabling environment | OR | |||
| Logistic regression for stunting | ||||||
| v1: sex (dummy variable for ‘male’) | – | – | X | 1.482 | 0.573 to 3.830 | 0.417 |
| v17: ownership of refrigerator | – | X | X | 0 | 0 | 0.999 |
| v25: age (year) | – | – | X | 6.617 | 0.017 to 2550.7 | 0.534 |
| v32: availability and consumption of fruits (vitamin A rich and other fruits) | – | X | – | 1.001 | 0.198 to 5.055 | 0.999 |
| v79: introduction of solid, semi-solid and/or soft foods | X | – | – | 0.317 | 0.124 to 0.812 | 0.017 * |
| Logistic regression for underweight | ||||||
| v84: mother–child cosleeping | X | X | – | 0.333 | 0.212 to 0.524 | <0.001 ** |
| v92: ownership of birth certificate | X | – | – | 1.656 | 1.057 to 2.596 | 0.028 * |
| Logistic regression for wasting | ||||||
| v34: availability and consumption of eggs | – | X | – | 0.184 | 0.045 to 0.754 | 0.019 * |
| v86: delivery not attended by health workers | X | – | – | 1.45 | 0.330 to 6.383 | 0.623 |
| v106: cough during the last 2 weeks | X | – | – | 1.713 | 1.128 to 2.603 | 0.012 * |
*p<0.05, **p<0.01.
†Categorisation based on the previous review (Black et al. 2013).15