Table 2.
Multiple logistic regression models for factors associated with RSV among hospitalisations
| Model 1 | Model 2 | |||||
|---|---|---|---|---|---|---|
| Variable | Unadjusted OR (95% CI) | P value | Adjusted OR (95% CI) | P value | Adjusted OR (95% CI) | P value |
| Sex | ||||||
| Male | 1.30 (1.06–1.59) | 0.01 | 1.20 (0.92–1.56) | 0.2 | 1.21 (0.93–1.57) | 0.2 |
| Female | Reference | Reference | Reference | |||
| Residential SES | ||||||
| Low SES (1–4) | 1.49 (1.22–1.83) | <0.001 | 1.49 (1.14–1.95) | 0.003 | ||
| High SES (5–10) | Reference | Reference | Not included | |||
| Population group | ||||||
| Arabs | 1.49 (1.21–1.84) | <0.001 | Not included | 1.49 (1.14–1.96) | 0.004 | |
| Jews | Reference | Reference | ||||
| Age, months | df = 2 | df = 2 | <0.001 | df = 2 | <0.001 | |
| 0–5 | 7.36 (5.69–9.52) | <0.001 | 7.66 (5.61–10.45) | <0.001 | 7.67 (5.63–10.46) | <0.001 |
| 6–11 | 5.77 (4.24–7.86) | <0.001 | 12.88 (8.48–19.55) | <0.001 | 13.00 (8.56–19.73) | <0.001 |
| 12–23 | Reference | Reference | Reference | |||
| Birth month | df = 2 | <0.001 | df = 2 | <0.001 | df = 2 | <0.001 |
| October–January | 1.82 (1.42–2.32) | <0.001 | 2.19 (1.60–2.99) | <0.001 | 2.18 (1.60–2.96) | <0.001 |
| February–May | 0.58 (0.45–0.76) | <0.001 | 0.48 (0.33–0.68) | <0.001 | 0.46 (0.32–0.67) | <0.001 |
| June–September | Reference | Reference | Reference | |||
| Chronic medical conditions | ||||||
| No | Reference | Reference | Reference | |||
| Yes | 1.68 (1.13–2.51) | 0.01 | 2.75 (1.61–4.70) | <0.001 | 2.83 (1.66–4.81) | <0.001 |
| Hospitalisation in the last month | ||||||
| No | Reference | Reference | Reference | |||
| Yes | 2.39 (1.28–4.45) | 0.006 | 1.20 (0.56–2.56) | 0.6 | 1.18 (0.55–2.53) | 0.7 |
| Stay in neonatal intensive care at birth | ||||||
| No | Reference | Reference | Reference | |||
| Yes | 2.04 (1.22–3.42) | 0.007 | 2.37 (1.27–4.41) | 0.006 | 2.39 (1.28–4.45) | 0.006 |
AIC, Akaike's information criterion; CI, confidence interval; OR, odds ratio; RSV, respiratory syncytial virus; SES, socio-economic status.
Nagelkerke R2 model 1 = 0.315, AIC = 122.8; Nagelkerke R2 model 2 = 0.317, AIC = 118.3.
Model 1 included the following independent variables: sex, residential SES, age, birth month, chronic medical conditions, hospitalisation in the last month and history of stay in neonatal intensive care at birth. Model 2 included the same variables as in model 1, but the variable ‘population group’ replaced the variable ‘residential SES’.