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Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas
Although children are particularly vulnerable to the adverse impacts of vehicular pollution and spend significant portions of their time at school, previous studies have not examined or compared school-level social inequities in exposure to both traffic-related air and noise pollution in the same st...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094516/ https://www.ncbi.nlm.nih.gov/pubmed/37047923 http://dx.doi.org/10.3390/ijerph20075308 |
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author | Chakraborty, Jayajit Aun, Jacob J. |
author_facet | Chakraborty, Jayajit Aun, Jacob J. |
author_sort | Chakraborty, Jayajit |
collection | PubMed |
description | Although children are particularly vulnerable to the adverse impacts of vehicular pollution and spend significant portions of their time at school, previous studies have not examined or compared school-level social inequities in exposure to both traffic-related air and noise pollution in the same study area. We addressed this gap through a case study in Texas—the second-largest US state based on total population and number of children. Vehicular pollution exposure was measured using: (1) outdoor concentrations of nitrogen dioxide (NO(2)), a widely used proxy for traffic-related air pollution; and (2) road noise estimates from the US Department of Transportation’s National Transportation Noise Mapping Tool. These variables were linked to data on locations and sociodemographic characteristics of children enrolled in Texas public schools. We found children attending schools with the highest exposure to both NO(2) and road noise (top 25%) were significantly more likely to be Black, Hispanic, and eligible for free/reduced lunches (socioeconomically deprived). Results from multivariable generalized estimating equations that control for spatial clustering and other relevant factors revealed that schools with greater NO(2) exposure were significantly more likely to serve racial/ethnic minority and younger students, while schools with greater exposure to road noise were significantly more likely to serve socioeconomically deprived and older students. These findings underscore the urgent need to reduce both air pollution and noise exposure at school locations, especially in schools attended by higher proportions of socially disadvantaged children that are often additionally burdened with other challenges. |
format | Online Article Text |
id | pubmed-10094516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100945162023-04-13 Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas Chakraborty, Jayajit Aun, Jacob J. Int J Environ Res Public Health Article Although children are particularly vulnerable to the adverse impacts of vehicular pollution and spend significant portions of their time at school, previous studies have not examined or compared school-level social inequities in exposure to both traffic-related air and noise pollution in the same study area. We addressed this gap through a case study in Texas—the second-largest US state based on total population and number of children. Vehicular pollution exposure was measured using: (1) outdoor concentrations of nitrogen dioxide (NO(2)), a widely used proxy for traffic-related air pollution; and (2) road noise estimates from the US Department of Transportation’s National Transportation Noise Mapping Tool. These variables were linked to data on locations and sociodemographic characteristics of children enrolled in Texas public schools. We found children attending schools with the highest exposure to both NO(2) and road noise (top 25%) were significantly more likely to be Black, Hispanic, and eligible for free/reduced lunches (socioeconomically deprived). Results from multivariable generalized estimating equations that control for spatial clustering and other relevant factors revealed that schools with greater NO(2) exposure were significantly more likely to serve racial/ethnic minority and younger students, while schools with greater exposure to road noise were significantly more likely to serve socioeconomically deprived and older students. These findings underscore the urgent need to reduce both air pollution and noise exposure at school locations, especially in schools attended by higher proportions of socially disadvantaged children that are often additionally burdened with other challenges. MDPI 2023-03-29 /pmc/articles/PMC10094516/ /pubmed/37047923 http://dx.doi.org/10.3390/ijerph20075308 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chakraborty, Jayajit Aun, Jacob J. Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas |
title | Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas |
title_full | Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas |
title_fullStr | Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas |
title_full_unstemmed | Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas |
title_short | Social Inequities in Exposure to Traffic-Related Air and Noise Pollution at Public Schools in Texas |
title_sort | social inequities in exposure to traffic-related air and noise pollution at public schools in texas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094516/ https://www.ncbi.nlm.nih.gov/pubmed/37047923 http://dx.doi.org/10.3390/ijerph20075308 |
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