Abstracts: ISEE 21st Annual Conference, Dublin, Ireland, August 25-29, 2009: Oral Presentations
McGill University, Montreal, Quebec, Canada.
Abstracts published in Epidemiology have been reviewed by the organizations of Epidemiology. Affliate Societies at whose meetings the abstracts have been accepted for presentation. These abstracts have not undergone review by the Editorial Board of Epidemiology.
Background and Objective:
Some neighbourhoods in urban areas are characterised by concentrations of socially and materially deprived populations. Additionally, levels of ambient air pollution can be variable at the local scale, creating disparities in air quality between neighbourhoods. Socioeconomic and physical characteristics of neighbourhood environments can affect the health and well-being of local residents. We identify whether neighbourhoods in Montreal characterised by social and material deprivation have higher levels of ambient air pollution than do others.
We collected two-week integrated samples of nitrogen dioxide (NO2) at 133 sites across Montreal during three seasons between 2005 and 2006. We used these data in a geographic information system, along with data describing characteristics of land use, roads, and traffic, to create a spatial model of predicted mean annual concentrations of NO2 across Montreal. Next, we collected neighbourhood socioeconomic information for 501 census tracts and overlaid their boundaries on the pollution surface. We calculated Pearson correlation coefficients and 95% confidence intervals (CI) between neighbourhood-level indicators of deprivation and levels of pollution.
We found associations between NO2 and neighbourhood-level indicators of material deprivation, including median household income (r = −0.38, 95% CI: −0.45- −0.30), and with indicators of social deprivation, including proportion of people living alone (r = 0.46, 95% CI: 0.39-0.53). We identified specific neighbourhoods characterised by a double burden of high levels of deprivation and high concentrations of ambient NO2.
Because of the unique social geography in Montreal, we found that not all deprived neighbourhoods had high levels of pollution and that some affluent neighbourhoods in the downtown core had high levels. Our results underscore the importance of considering social contexts in interpreting general associations between social and environmental risks to population health.