Table 3.
Binary Logistic Regression for the prediction of ARI in the past 12 months, identified from health passports
| Predictors of ARI Infection in last 12 months | 95% Confidence Interval | |||
|---|---|---|---|---|
| Included | OR | Lower | Upper | P Value |
| Male Gender | 1.21 | 0.83 | 1.47 | .24 |
| Maternal Education: | ||||
| No education to 1st level | 1.24 | 0.83 | 1.86 | .30 |
| No education to 2nd level | 1.32 | 0.63 | 2.77 | .46 |
| No education to 3rd level | 2.35 | 0.13 | 41.25 | .56 |
| Household Density | 2.17 | 1.82 | 2.68 | .02 |
| Sibling with ARI | 1.44 | 1.12 | 1.65 | .01 |
| PCV Vaccination | 0.91 | 0.48 | 1.75 | .70 |
| Access to Healthcare | 0.75 | 0.42 | 1.35 | .51 |
| Acute Malnutrition | 1.69 | 1.28 | 1.76 | .01 |
n = 596, Cox & Snell 0.10, Nagelkerke R 2=.163, Chi‐Square 62.6, P < .001.
Other non‐significant factors entered into the model were age and community of residence.