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Sociodemographic Patterns of Exposure to Civil Aircraft Noise in the United States

BACKGROUND: Communities with lower socioeconomic status and higher prevalence of racial/ethnic minority populations are often more exposed to environmental pollutants. Although studies have shown associations between aircraft noise and property values and various health outcomes, little is known abo...

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Detalles Bibliográficos
Autores principales: Simon, Matthew C., Hart, Jaime E., Levy, Jonathan I., VoPham, Trang, Malwitz, Andrew, Nguyen, Daniel, Bozigar, Matthew, Cupples, L. Adrienne, James, Peter, Laden, Francine, Peters, Junenette L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846369/
https://www.ncbi.nlm.nih.gov/pubmed/35167327
http://dx.doi.org/10.1289/EHP9307
Descripción
Sumario:BACKGROUND: Communities with lower socioeconomic status and higher prevalence of racial/ethnic minority populations are often more exposed to environmental pollutants. Although studies have shown associations between aircraft noise and property values and various health outcomes, little is known about how aircraft noise exposures are sociodemographically patterned. OBJECTIVE: Our aim was to describe characteristics of populations exposed to aviation noise by race/ethnicity, education, and income in the United States. METHODS: Aircraft noise contours characterized as day–night average sound level (DNL) were developed for 90 U.S. airports in 2010 for DNL [Formula: see text] in 1-dB(A) increments. We compared characteristics of exposed U.S. Census block groups at three thresholds ([Formula: see text] , [Formula: see text] , and [Formula: see text]), assigned on the basis of the block group land area being [Formula: see text] within the threshold, vs. unexposed block groups near study airports. Comparisons were made across block group race/ethnicity, education, and income categories within the study areas ([Formula: see text]). We performed both multinomial and other various multivariable regression approaches, including models controlling for airport and models with random intercepts specifying within-airport effects and adjusting for airport-level means. RESULTS: Aggregated across multiple airports, block groups with a higher Hispanic population had higher odds of being exposed to aircraft noise. For example, the multinomial analysis showed that a 10-percentage point increase in a block group’s Hispanic population was associated with an increased odds ratio of 39% (95% CI: 25%, 54%) of being exposed to [Formula: see text] compared with block groups exposed to [Formula: see text]. Block groups with higher proportions of residents with only a high school education had higher odds of being exposed to aircraft noise. Results were robust across multiple regression approaches; however, there was substantial heterogeneity across airports. DISCUSSION: These results suggest that across U.S. airports, there is indication of sociodemographic disparities in noise exposures. https://doi.org/10.1289/EHP9307