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Race/Ethnicity, Socioeconomic Status, Residential Segregation, and Spatial Variation in Noise Exposure in the Contiguous United States.

Race/Ethnicity, Socioeconomic Status, Residential Segregation, and Spatial Variation in Noise Exposure in the Contiguous United States.
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Casey JA, Morello-Frosch R, Mennitt DJ, Fristrup K, Ogburn EL, James P,


Casey JA, Morello-Frosch R, Mennitt DJ, Fristrup K, Ogburn EL, James P, (click to view)

Casey JA, Morello-Frosch R, Mennitt DJ, Fristrup K, Ogburn EL, James P,

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Environmental health perspectives 2017 07 25125(7) 077017 doi 10.1289/EHP898
Abstract
BACKGROUND
Prior research has reported disparities in environmental exposures in the United States, but, to our knowledge, no nationwide studies have assessed inequality in noise pollution.

OBJECTIVES
We aimed to a) assess racial/ethnic and socioeconomic inequalities in noise pollution in the contiguous United States; and b) consider the modifying role of metropolitan level racial residential segregation.

METHODS
We used a geospatial sound model to estimate census block group-level median () nighttime and daytime noise exposure and 90th percentile () daytime noise exposure. Block group variables from the 2006-2010 American Community Survey (ACS) included race/ethnicity, education, income, poverty, unemployment, homeownership, and linguistic isolation. We estimated associations using polynomial terms in spatial error models adjusted for total population and population density. We also evaluated the relationship between race/ethnicity and noise, stratified by levels of metropolitan area racial residential segregation, classified using a multigroup dissimilarity index.

RESULTS
Generally, estimated nighttime and daytime noise levels were higher for census block groups with higher proportions of nonwhite and lower-socioeconomic status (SES) residents. For example, estimated nighttime noise levels in urban block groups with 75% vs. 0% black residents were 46.3 A-weighted decibels (dBA) [interquartile range (IQR): ] and (IQR: ), respectively. In urban block groups with 50% vs. 0% of residents living below poverty, estimated nighttime noise levels were (IQR: ) and (IQR: ), respectively. Block groups with the highest metropolitan area segregation had the highest estimated noise exposures, regardless of racial composition. Results were generally consistent between urban and suburban/rural census block groups, and for daytime and nighttime noise and robust to different spatial weight and neighbor definitions.

CONCLUSIONS
We found evidence of racial/ethnic and socioeconomic differences in model-based estimates of noise exposure throughout the United States. Additional research is needed to determine if differences in noise exposure may contribute to health disparities in the United States. https://doi.org/10.1289/EHP898.

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