You are here:
Disparities in urban/rural environmental quality
Citation:
Rapazzo, K., L. C. Messer, J. S. JAGAI, AND D. T. LOBDELL. Disparities in urban/rural environmental quality. Presented at 43rd Annual Meeting Society of Epidemiologic Research (SER), Seattle, WA, June 23 - 26, 2010.
Impact/Purpose:
This work presents a test case of an index of environmental quality creation (focused on air pollutants and socio-demographic factors).
Description:
Individuals experience simultaneous exposure to many pollutants and social factors, which cluster to affect human health outcomes. Because the optimal approach to combining these factors is unknown, we developed a method to model simultaneous exposure using criteria air pollutants, hazardous air pollutants, and selected socio-demographic measures. Principle components analysis (PCA) was used to create an environmental quality index for all counties in the United States. The air domain was represented with data from the National Emissions Inventory and the National Air Toxics Assessment; year 2000 census percent population in poverty and time spent commuting represented the socio-demographic domain. In the PCA index construction, 35 variables were included for 2308 counties with complete data. Because exposures vary by urbanicity, counties were stratified by percentage of the population living in urban areas (urban: greater than or equal to 50%); urban and rural indices were calculated. Overall, the first two components explained 41% of the total variance. Indices derived from the first two components ranged from -0.73 to 12.30, and -9.94 to 10.99, respectively; all indices were standardized to mean of 0, standard deviation of 1. Hazardous air pollutants generally contributed more strongly in urban counties and criteria pollutants in the rural counties (for instance, xylene loadings were 0.26 urban versus 0.08 rural). This work presents a test case of an index of environmental quality creation (focused on air pollutants and socio-demographic factors). Indices combining multiple domains have the potential to be useful tools for identifying environmental quality disparities. This abstract does not necessarily reflect EPA policy.