P-034 Introduction: Health Impact Assessments (HIA) of long-term exposure to PM10 conducted in 9 French cities as part of the APHEIS European project (APHEIS, Air pollution and health, a European information system, June 2005 www.apheis.net) were based on exposure-response functions obtained using gravimetric measurements of PM10 levels (Pope CA 3rdet al. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA. 2002 6;287(9):1132–41). In France, PM10 levels are routinely monitored using Tapered Element Oscillating Microbalances (TEOM) and APHEIS recommended the use of correction factors in order to compensate for losses of volatile compounds. Nevertheless, there is no consensus regarding the method that should eventually be used for correction. The objective of this study was therefore to assess the sensitivity of HIA results to the use of various correction methods. Methods: Data on mortality and annual mean concentrations of PM10 for year 2001 were collected in 9 French cities. Long-term HIAs for a reduction of PM10 annual mean level to 20μg/m3 were conducted using both non-corrected and corrected PM10 levels. Three correction methods were used: the default European correction factor (http://europa.eu.int/comm/environment/air/pdf/finalwgreporten.pdf) (1.3); local seasonal conversion factors; and local polynomial regressions derived from parallel gravimetric and TEOM measurements (Jean-Luc Houdret, François Mathe. Programme pilote national de surveillance des particules PM10 et PM2,5). Results: Among the nine cities, local correction factors ranged from 1 to 1.18 during winter, and from 1.13 to 1.37 during summer. Annual mean levels of PM10 measured with TEOM ranged from 21 to 29 μg/m3. Corrected annual mean levels ranged respectively from 27 to 38 μg/m3, 23 to 31 μg/m3 and 22 to 33 μg/m3 when European, local seasonal and local polynomial corrections were used. When compared to the HIA results obtained using PM10 levels corrected with local seasonal correction factors, the direct use of levels measured with TEOM induced an underestimation varying from 17 to 82%, depending on the city. The total number of attributable cases over the nine cities was estimated to 1034 (95%CI [628; 1460]) when TEOM measures were used directly, whereas it was estimated to 3286 [1986; 4665], 2268 [1374; 3211] and 2501 [1514; 3543] when European, local seasonal or local polynomial corrections were used, respectively. Discussion and conclusion: The use of a correction has a non-negligible impact on HIA results. Non-specific correction factors do not seem appropriate, as the proportion of volatile matter varies according to localization-dependent factors. Local correction methods derived from parallel measurements seem more appropriate, but are not systematically available. For the future, the improvement of automatic methods of measurement minimizing losses of volatile compounds seems promising.
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