Jeff D. Yanosky

A peer-reviewed open access journal published by the National Institute of Environmental Health Sciences

Census block-group-specific predicted outdoor nitrogen dioxide (NO₂; a marker of traffic pollution) levels and four census block group socioeconomic position (SEP) measures were used to evaluate whether chronic exposures to traffic-related air pollutants are higher in areas with lower SEP, after controlling for spatial autocorrelation in mixed models. NO₂ levels were predicted using a geographic information system (GIS)-based spatiotemporal model that was validated with measured NO₂ concentrations. The GIS-based model predicted weekly NO₂ concentrations with high accuracy (slope of 0.98 from regression of held-out observations on predictions) and precision (cross-validation mean absolute error of 2.2 ppb). The model performed well in both rural and urban areas and warm and cold seasons. Estimated mean block group NO₂ concentrations were significantly negatively associated with median household income, and positively associated with poverty, crowding, and low educational attainment rates after controlling for spatial autocorrelation. Results indicated that a standard deviation (3.5 ppb) increase in block group NO₂ concentrations was associated with a $9090 decrease in median household income. Results suggest that on average those with lower SEP experience higher chronic exposure to outdoor NO₂.