To quantify the short term respiratory health effects of ambient air pollution in the Paris area.
Time series analysis of daily pollution levels using Poisson regression.
Air pollution was monitored by measurement of black smoke (BS) (15 monitoring stations), sulphur dioxide (SO2), nitrogen dioxide (NO2), particulate matter less than 13 mum in diameter (PM13), and ozone (O3) (4 stations).
Daily mortality and general admissions to public hospitals due to respiratory causes were considered.
The statistical analysis was based on a time series procedure using linear regression modelling followed by a Poisson regression.
Meteorological variables, epidemics of influenza A and B, and strikes of medical staff were included in the models.
The mean daily concentration of PM13 and daily 1 hour maximum of SO2 significantly affected daily mortality from respiratory causes.
An increase in the concentration of PM13 of 100 mug/m3 above its 5th centile value increased the risk of respiratory death by 17%. PM13 and BS were also associated with hospital admissions due to all respiratory diseases (4.1% increased risk when the BS level exceeded its 5th centile value by 100 mug/m3).
SO2 levels consistently influenced hospital admissions for all respiratory diseases, chronic obstructive pulmonary disease, and asthma.
Asthma was also correlated with NO2 levels.
These results indicat...
Mots-clés Pascal : Pollution air, Toxicité, Court terme, Epidémiologie, Homme, Appareil respiratoire pathologie, Série temporelle, Santé et environnement, France, Europe, Milieu urbain
Mots-clés Pascal anglais : Air pollution, Toxicity, Short term, Epidemiology, Human, Respiratory disease, Time series, Health and environment, France, Europe, Urban environment
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0247776
Code Inist : 002B03M02. Création : 199608.