Abstracts: ISEE 22nd Annual Conference, Seoul, Korea, 28 August–1 September 2010: Air Pollution - Exposure Characterization and Health Effects
Long-term exposure air pollution has been associated with an increase in all-cause and specific-cause mortality and morbidity using cohort studies. Assessment of the past exposure to air pollution is a key issue in such studies. We present a method to assess the exposure to air pollution of participants of the French GAZEL Cohort Study between 1988 and 2008.
The GAZEL cohort is a prospective cohort of more than 20,000 adults recruited in 1989 and followed every year. To assess the exposure of the participants, the ambient background air concentration of PM10, PM2.5, O3, SO2, and NO2 will be modeled for each year of the study period and for the whole continental France. A multi-scale model for air quality simulation (CHIMERE dispersion model) on the basis of emissions, meteorological, and land cover data will be used in association with a downscaling model based on traffic roads or density data. Monitored data will be integrated by a geostatistical model.
GAZEL comprised 20,625 individuals: 15,011 men aged 40–50 years in 1989, and 5614 women aged 35–50 years. Participants were located everywhere in continental France, including urban and rural areas. In 2007, nonspecific mortality and cardiovascular mortality represented 1190 and 173 deaths, respectively. Emissions and meteorological data required for the multi-scale model have been identified, and a preliminary study in Haute-Normandie for the year 1995 showed that data were available.
For the first time in France, retrospective annual ambient air concentrations of pollutant will be modeled on a 20 years period for the continental France to assess the exposure of the participant of the French GAZEL Cohort Study. Associations between air pollution and health outcomes will be evaluated using standard and random-effects Cox proportional-hazard models.