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The Role of Traffic-Related Pollution in PM-Health Effects Associations Among Inner-City Children With Asthma.

EPA Grant Number: F6D30236
Title: The Role of Traffic-Related Pollution in PM-Health Effects Associations Among Inner-City Children With Asthma.
Investigators: Spira-Cohen, Ariel
Institution: New York University
EPA Project Officer: Willett, Stephanie H.
Project Period: September 1, 2006 through September 1, 2008
Project Amount: $111,172
RFA: STAR Graduate Fellowships (2006)
Research Category: Air Quality and Air Toxics , Academic Fellowships , Children's Health , Health Effects , Fellowship - Epidemiology , Particulate Matter , Fellowship - Air Pollution

Description:

Objective:

Traffic-related air pollution has been associated with adverse respiratory health effects using distance from roadways as an exposure index, rather than direct personal monitoring. Using personal exposure data from a cohort of inner-city children with asthma, I will test the hypothesis that exposure to particulate matter (PM) pollution from localized traffic is especially responsible for the PM-associated increased incidence of adverse acute health effects.

Approach:

Previously collected data from a personal exposure study will be analyzed to investigate the effects of traffic-generated PM pollution on a group of children with asthma in the South Bronx, NY. The South Bronx is a community in New York City experiencing high asthma rates and dense vehicular traffic. Thousands of diesel trucks pass through the area on a daily basis. Elemental Carbon (EC) measurements (via filter reflectance) will be used as a proxy for diesel truck emissions, given the high level of truck traffic and high variation in EC levels in the study area. Health outcome will be defined using daily measurements of subjects’ lung function and asthma symptoms such as cough and wheeze. The first component of the analysis will characterize the contribution of traffic to ambient pollutant levels in the study area and relate these levels to personal exposure using mixed effects models and source apportionment methods. The second component of the analysis will utilize mixed effects statistical modeling to determine health effects associations with: 1) personal and ambient pollutant levels; and 2) source profiles from the source apportionment analysis.

Expected Results:

I expect to find that exposure to traffic-generated PM pollution is the causal factor underlying the traffic density-asthma relationships found in other studies. If this is the case, then there will be significant differences between the health associations with traffic-generated components of the personal PM exposures versus other non-traffic PM, in this cohort of inner-city children with asthma.

Supplemental Keywords:

Air pollution, traffic, elemental carbon, mixed effects model, source-apportionment, diesel, asthma, PM pollution, particulate matter, personal exposure, health effects, children’s health, ambient particle health effects, atmospheric particulate matter, exposure assessment, particulate matter components,sensitive populations, traffic-generated pollution, truck traffic, personal monitoring, air pollution epidemiology.

, HUMAN HEALTH, ENVIRONMENTAL MANAGEMENT, Air, Scientific Discipline, Health, RFA, Health Effects, Risk Assessment, Health Risk Assessment, Children's Health, Biochemistry, Environmental Chemistry, mobile sources, automotive exhaust, engine exhaust, allergen, respiratory problems, children's environmental health, childhood respiratory disease, susceptibility, outreach and education, community-based intervention, airway disease, automotive emissions, ambient particle pollution, asthma, Human Health Risk Assessment

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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.


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