Do socioeconomic characteristics modify the short term association between air pollution and mortality? Evidence from a zonal time series in Hamilton, Canada
| Autor: | Brian Hutchison, Pavlos S. Kanaroglou, Jeffrey R. Brook, Norm Finkelstein, Rick Burnett, Chris Giovis, Michael Jerrett |
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| Jazyk: | angličtina |
| Rok vydání: | 2004 |
| Předmět: |
Research Report
medicine.medical_specialty Haze Ambient air pollution Epidemiology business.industry Air pollution exposure Public health Public Health Environmental and Occupational Health Linear model Air pollution medicine.disease_cause Educational attainment Environmental health Medicine business Socioeconomic status |
| Popis: | Study objective: To assess the short term association between air pollution and mortality in different zones of an industrial city. An intra-urban study design is used to test the hypothesis that socioeconomic characteristics modify the acute health effects of ambient air pollution exposure. Design: The City of Hamilton, Canada, was divided into five zones based on proximity to fixed site air pollution monitors. Within each zone, daily counts of non-trauma mortality and air pollution estimates were combined. Generalised linear models (GLMs) were used to test mortality associations with sulphur dioxide (SO 2 ) and with particulate air pollution measured by the coefficient of haze (CoH). Main results: Increased mortality was associated with air pollution exposure in a citywide model and in intra-urban zones with lower socioeconomic characteristics. Low educational attainment and high manufacturing employment in the zones significantly and positively modified the acute mortality effects of air pollution exposure. Discussion: Three possible explanations are proposed for the observed effect modification by education and manufacturing: (1) those in manufacturing receive higher workplace exposures that combine with ambient exposures to produce larger health effects; (2) persons with lower education are less mobile and experience less exposure measurement error, which reduces bias toward the null; or (3) manufacturing and education proxy for many social variables representing material deprivation, and poor material conditions increase susceptibility to health risks from air pollution. |
| Databáze: | OpenAIRE |
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