The Denver Aerosol Sources and Health (DASH) study began in mid-2004 with the objective to identify the sources of ambient air pollution that contribute to the health effects of short-term exposure to fine particulate matter (PM2.5). Interim analysis using PM2.5 chemical composition data based on an ongoing intensive monitoring and chemical speciation effort that has been underway since mid-2002 indicated that traffic-associated emissions, in particular diesel emissions as reflected by elemental carbon (EC), was more strongly associated with increased daily total and cardio-respiratory mortality than either total PM2.5 mass or other PM components. Preliminary analyses performed in preparing the original study application suggested that daily concentrations of a limited number of PM components were reasonably spatially homogenous in Denver. Since the study began, new information for other US cities (Atlanta, New York City and St. Louis) calls this impression into question with the finding that some PM component and source concentrations appear spatially heterogeneous. The main motivation for requesting supplemental funding for the last year of the DASH study is to gather information to determine whether the use of a single residential (population-oriented) monitoring site as currently used adequately reflects short-term temporal variability in PM components and sources over space in the Denver metropolitan area. The extent of this spatial-temporal variability will affect the interpretation of PM component and source health effect estimates currently being generated by the DASH health studies. To address this, we propose one year of supplemental PM component monitoring in areas selected to reflect spatial variation in PM components that correspond to large portions of the Denver population. This information will be used to examine spatial variability in source contributions in Denver and to estimate effects of this variability on health effects estimates. Supplemental funding is also requested to continue our collection of PM data at the one population-oriented site to allow use of an uninterrupted, long time series of daily PM components and sources in future health studies. Finally, funding is requested to incorporate additional readily accessible health endpoints, specifically hospitalization data that overcome limitations of Medicare data as well as birth outcomes data. Addition of these endpoints will more fully exploit the existing rich PM component data and daily source apportionment. This supplement to the original DASH study is intended to allow the original study findings, when available, to be best interpreted, and to allow better use of the unique data being collected. The resultant improved understanding of the role of emission sources in determining health impacts of air pollution will translate into more effective policies to control these impacts.

Public Health Relevance

While our understanding of the full impact of exposure to outdoor air pollution on human health continues to grow, we know little about which sources of pollution emissions are most harmful.
The aim of this study is to identify emission sources that contribute most to health effects of exposure to air pollution. A focus on air pollution sources will allow public health policies aimed at reducing the health burden of air pollution to be more effective and efficient. ? ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
3R01ES012197-06S1
Application #
7460294
Study Section
Infectious Diseases, Reproductive Health, Asthma and Pulmonary Conditions Study Section (IRAP)
Program Officer
Gray, Kimberly A
Project Start
2003-04-01
Project End
2010-03-31
Budget Start
2008-06-15
Budget End
2010-03-31
Support Year
6
Fiscal Year
2008
Total Cost
$337,455
Indirect Cost
Name
University of Washington
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Kim, Sun-Young; Sheppard, Lianne; Hannigan, Michael P et al. (2013) The sensitivity of health effect estimates from time-series studies to fine particulate matter component sampling schedule. J Expo Sci Environ Epidemiol 23:481-6
Xie, Mingjie; Piedrahita, Ricardo; Dutton, Steven J et al. (2013) Positive matrix factorization of a 32-month series of daily PM2.5 speciation data with incorporation of temperature stratification. Atmos Environ (1994) 65:11-20
Xie, M; Barsanti, K C; Hannigan, M P et al. (2013) Positive matrix factorization of PM2.5 - eliminating the effects of gas/particle partitioning of semivolatile organic compounds. Atmos Chem Phys 13:7381-7393
Xie, Mingjie; Coons, Teresa L; Dutton, Steven J et al. (2012) Intra-urban spatial variability of PM2.5-bound carbonaceous components. Atmos Environ (1994) 60:486-494
Xie, Mingjie; Coons, Teresa L; Hemann, Joshua G et al. (2012) Intra-urban spatial variability and uncertainty assessment of PM2.5 sources based on carbonaceous species. Atmos Environ (1994) 60:305-315
Dutton, Steven J; Rajagopalan, Balaji; Vedal, Sverre et al. (2010) Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver. Atmos Environ 44:987-998
Dutton, Steven J; Vedal, Sverre; Piedrahita, Ricardo et al. (2010) Source Apportionment Using Positive Matrix Factorization on Daily Measurements of Inorganic and Organic Speciated PM(2.5). Atmos Environ 44:2731-2741
Dutton, Steven J; Williams, Daniel E; Garcia, Jessica K et al. (2009) PM(2.5) Characterization for Time Series Studies: Organic Molecular Marker Speciation Methods and Observations from Daily Measurements in Denver. Atmos Environ 43:2018-2030
Dutton, Steven J; Schauer, James J; Vedal, Sverre et al. (2009) PM(2.5) Characterization for Time Series Studies: Pointwise Uncertainty Estimation and Bulk Speciation Methods Applied in Denver. Atmos Environ 43:1136-1146
Vedal, S; Hannigan, M P; Dutton, S J et al. (2009) The Denver Aerosol Sources and Health (DASH) Study: Overview and Early Findings. Atmos Environ (1994) 43:1666-1673