Table 4 Multiple logistic regression model for risk of injury mortality and morbidity
From: Socioeconomic inequality in child injury in Bangladesh – implication for developing countries
Characteristics | Mortality | Morbidity | |||
|---|---|---|---|---|---|
OR | 95% CI | OR | 95% CI | ||
Child age in year | 0.9 | .68–1.1 | 1.6** | 1.5–1.6 | |
Child's Sex | Male | 1.0 | 1.0 | ||
Female | 1.6* | .95–2.7 | 0.85** | 0.8–0.9 | |
Economic status | Richest | 1.0 | 1.00 | ||
Poorest | 2.8** | 1.1–7.9 | 1.30** | 1.0–1.6 | |
Mother's age | <25 years | 1.0 | 1.0 | ||
> = 25 years | 0.9 | 0.4–2.0 | 0.80* | 0.7–0.9 | |
Mother's Education | No education | 1.21 | 0.64–3.7 | 1.27 | 0.73–2.70 |
Primary | 1.32 | 0.4–2.90 | 1.12 | 0.56–3.10 | |
Secondary+ | 1.00 | 1.00 | |||
No of living children | 1 | 1.00 | 1.00 | ||
2 | 1.30 | 0.4–3.6 | 1.10 | 0.9–1.3 | |
3 | 1.56 | 0.4–5.0 | 1.21 | 0.9–1.5 | |
4+ | 4.14** | 1.4–11.8 | 1.15 | 1.0–1.4 | |
Constant | -5.71 | -2.27 | |||
Model chi-square | 41.3 | 322.8 | |||
-2loglikelihood | 610.9 | 6676.6 | |||