Article

Air quality and emergency pediatric care for symptoms of bronchial obstruction categorized by age bracket in Rio de Janeiro, Brazil.

Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
Cadernos de saúde pública / Ministério da Saúde, Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública (impact factor: 0.83). 03/2009; 25(3):635-44. pp.635-44
Source: PubMed

ABSTRACT The objective of this study was to estimate the association between levels of air pollutants and respiratory symptoms in children. An ecological time-series study was conducted between April 2002 and March 2003 with daily data on PM10, SO2, CO, NO2, and O3 and paediatric care in emergency rooms due to symptoms indicating bronchial obstruction. The potential confounding factors considered were: time trend, seasonality, meteorological variables, respiratory infections and the effects of weekends and holidays. A semi-parametric Poisson regression was used to model the time series. Splines (data smoothing functions), indicator variables and cubic polynomials were used to adjust the effects of the confounding variables. A 5% significance level was adopted for the study. A statistically significant increase of 6.7% in paediatric visits of children of less than 2 years of age was associated with PM10. A 3% positive association with O3 showed borderline significance (p < 0.06) in this age bracket. Our findings highlight the existence of an acknowledged public health problem in Rio de Janeiro, Brazil, and also emphasize the need to identify the principal sources of air pollutants.

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Keywords

5% significance level
 
acknowledged public health problem
 
age bracket
 
air pollutants
 
borderline significance
 
bronchial obstruction
 
confounding variables
 
data smoothing functions
 
ecological time-series study
 
indicator variables
 
paediatric care
 
principal sources
 
respiratory infections
 
respiratory symptoms
 
Rio de Janeiro
 
semi-parametric Poisson regression
 
statistically significant increase
 
time series
 
time trend
 
weekends