Measuring the Impact of Particulate Matter Reductions by Environmental Health Outcome IndicatorsEPA Grant Number: R833627
Title: Measuring the Impact of Particulate Matter Reductions by Environmental Health Outcome Indicators
Investigators: Johnson, Jean , Pratt, Greg , Yawn, Barbara
Institution: Minnesota Department of Health , Minnesota Pollution Control Agency , Olmsted Medical Center
EPA Project Officer: Nolt-Helms, Cynthia
Project Period: January 1, 2007 through December 1, 2011 (Extended to May 31, 2012)
Project Amount: $488,650
RFA: Development of Environmental Health Outcome Indicators (2006) RFA Text | Recipients Lists
Research Category: Health Effects , Health
A substantial body of scientific literature has associated airborne particulate matter exposures, PM10 and PM2.5, with health outcomes, most significantly with cardiovascular and respiratory disease mortality and morbidity in adults, and with asthma exacerbations in children. This project utilizes existing data to develop and evaluate a set of outcome-based indicators for monitoring the impacts of several local and national particulate matter emission reduction strategies in the Minneapolis-St. Paul area and Olmsted County on population distributions of ambient PM exposures, and on population health.
Using 10 years of available data (2000-2009) indicators of population exposure to ambient PM2.5, PM10, and PM speciation will be developed from ambient monitoring data and spatial modeling techniques. Indicators of population health (cardiovascular and respiratory disease events and rates) will be developed from statewide mortality, hospitalization, and emergency services data. Indicators of primary care for asthma exacerbations in children (clinic visits and oral steroid Rxs) will be developed from Rochester Epidemiology Project data. Relative risks will be estimated and compared using case-crossover and time series methods for associating daily PM exposures with acute health outcome indicators. Following the implementation of several PM reduction initiatives during the study period, changes in the population attributable fraction (AFp) indicator from baseline will be reported for each health outcome and human health impacts in the population and in sensitive subgroups will be assessed.
Quantifiable indicators will measure the progress of local and national PM reduction strategies in lowering population exposure to PM and positively impacting public health. These environmental health outcome indicators will ultimately serve to inform and evaluate environmental policies and public health interventions with a goal of protecting vulnerable populations from ambient air pollutants.