Risk of cancer in the vicinity of municipal solid waste incinerators: importance of using a flexible modelling strategy
| Autor: | Sarah Goria, Pascal Empereur-Bissonnet, Sylvia Richardson, Marc Colonna, P Fabre, C Daniau, Perrine de Crouy-Chanel, Cedric Duboudin, Jean-François Viel |
|---|---|
| Přispěvatelé: | Institut de Veille Sanitaire (INVS), Registre des Cancers de l'Isère, registre des Cancers de l'Isère, Agence Française de Sécurité Sanitaire de l'Environnement et du Travail (AFSSET), AFSSET, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Department of Epidemiology and Public Health, Imperial College Norfolk Place, Institut de Veille Sanitaire ( INVS ), Agence Française de Sécurité Sanitaire de l'Environnement et du Travail ( AFSSET ), Laboratoire Chrono-environnement ( LCE ), Université Bourgogne Franche-Comté ( UBFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Vesin, Aurélien, Laboratoire Chrono-environnement (UMR 6249) (LCE) |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Male
General Computer Science Business Management and Accounting(all) Incineration 010501 environmental sciences lcsh:Computer applications to medicine. Medical informatics 01 natural sciences 010104 statistics & probability Risk Factors Air Pollution Neoplasms Environmental health Environmental monitoring Humans 0101 mathematics Air quality index 0105 earth and related environmental sciences Local Government Confounding Methodology Public Health Environmental and Occupational Health Absolute risk reduction Ecological study [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie Environmental Exposure Environmental exposure Models Theoretical General Business Management and Accounting Refuse Disposal [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie 13. Climate action Epidemiological Monitoring lcsh:R858-859.7 Environmental science Female [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie France Environmental Monitoring Computer Science(all) Waste disposal |
| Zdroj: | Int J Health Geogr Int J Health Geogr, 2009, 8 (1), pp.31. ⟨10.1186/1476-072X-8-31⟩ Int J Health Geogr, 2009, 8 (1), pp.31. 〈10.1186/1476-072X-8-31〉 International Journal of Health Geographics International Journal of Health Geographics, Vol 8, Iss 1, p 31 (2009) |
| DOI: | 10.1186/1476-072X-8-31⟩ |
| Popis: | Background We conducted an ecological study in four French administrative departments and highlighted an excess risk in cancer morbidity for residents around municipal solid waste incinerators. The aim of this paper is to show how important are advanced tools and statistical techniques to better assess weak associations between the risk of cancer and past environmental exposures. Methods The steps to evaluate the association between the risk of cancer and the exposure to incinerators, from the assessment of exposure to the definition of the confounding variables and the statistical analysis carried out are detailed and discussed. Dispersion modelling was used to assess exposure to sixteen incinerators. A geographical information system was developed to define an index of exposure at the IRIS level that is the geographical unit we considered. Population density, rural/urban status, socio-economic deprivation, exposure to air pollution from traffic and from other industries were considered as potential confounding factors and defined at the IRIS level. Generalized additive models and Bayesian hierarchical models were used to estimate the association between the risk of cancer and the index of exposure to incinerators accounting for the confounding factors. Results Modelling to assess the exposure to municipal solid waste incinerators allowed accounting for factors known to influence the exposure (meteorological data, point source characteristics, topography). The statistical models defined allowed modelling extra-Poisson variability and also non-linear relationships between the risk of cancer and the exposure to incinerators and the confounders. Conclusion In most epidemiological studies distance is still used as a proxy for exposure. This can lead to significant exposure misclassification. Additionally, in geographical correlation studies the non-linear relationships are usually not accounted for in the statistical analysis. In studies of weak associations it is important to use advanced methods to better assess dose-response relationships with disease risk. |
| Databáze: | OpenAIRE |
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