Negative binomial regression model with multivariate analysis for the impact of smoke-free legislation on hospital admission count for lower respiratory tract infection (LRTI) in children aged 0–18 years between 2004 and 2012
| Change in hospital admission for LRTI (expressed as percentage with 95% CI) | |||
|---|---|---|---|
| Whole group (0–18 years) | Preschool (0–5 years) | School-age (6–18 years) | |
| Smoke-free legislation (immediate impact)† | −33.5 (−36.4 to −30.5) | −21.60 (−25.2 to −17.7) | −63.5 (−66.4 to −60.3) |
| Change in time trend after smoke-free legislation (per year)† | −13.9 (−16.0 to −11.7) | −10.7 (−13.0 to −8.3) | −24.3 (−27.7 to −20.7) |
Model included meteorological factors (temperature, relative humidity and rainfall), population counts, daily hospital admissions for influenza, each day of the study period, seasonal effects, day of the week, holidays, and multiple pollutants (particulate matter with aerodynamic diameter <10 μm, sulfur dioxide, nitrogen dioxide and ozone).
†In addition to smoke- free legislation.