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A population-based cohort study of traffic congestion and infant growth using connected vehicle data

More than 11 million Americans reside within 150 meters of a highway, an area of high air pollution exposure. Traffic congestion further contributes to environmental pollution (e.g., air and noise), but its unique importance for population health is unclear. We hypothesized that degraded environment...

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Autores principales: Willis, Mary D., Schrank, David, Xu, Chunxue, Harris, Lena, Ritz, Beate R., Hill, Elaine L., Hystad, Perry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616495/
https://www.ncbi.nlm.nih.gov/pubmed/36306359
http://dx.doi.org/10.1126/sciadv.abp8281
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author Willis, Mary D.
Schrank, David
Xu, Chunxue
Harris, Lena
Ritz, Beate R.
Hill, Elaine L.
Hystad, Perry
author_facet Willis, Mary D.
Schrank, David
Xu, Chunxue
Harris, Lena
Ritz, Beate R.
Hill, Elaine L.
Hystad, Perry
author_sort Willis, Mary D.
collection PubMed
description More than 11 million Americans reside within 150 meters of a highway, an area of high air pollution exposure. Traffic congestion further contributes to environmental pollution (e.g., air and noise), but its unique importance for population health is unclear. We hypothesized that degraded environmental quality specifically from traffic congestion has harmful impacts on fetal growth. Using a population-based cohort of births in Texas (2015–2016), we leveraged connected vehicle data to calculate traffic congestion metrics around each maternal address at delivery. Among 579,122 births, we found consistent adverse associations between traffic congestion and reduced term birth weight (8.9 grams), even after accounting for sociodemographic characteristics, typical traffic volume, and diverse environmental coexposures. We estimated that up to 1.2 million pregnancies annually may be exposed to traffic congestion (27% of births in the United States), with ~256,000 in the highest congestion zones. Therefore, improvements to traffic congestion may yield positive cobenefits for infant health.
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spelling pubmed-96164952022-11-04 A population-based cohort study of traffic congestion and infant growth using connected vehicle data Willis, Mary D. Schrank, David Xu, Chunxue Harris, Lena Ritz, Beate R. Hill, Elaine L. Hystad, Perry Sci Adv Social and Interdisciplinary Sciences More than 11 million Americans reside within 150 meters of a highway, an area of high air pollution exposure. Traffic congestion further contributes to environmental pollution (e.g., air and noise), but its unique importance for population health is unclear. We hypothesized that degraded environmental quality specifically from traffic congestion has harmful impacts on fetal growth. Using a population-based cohort of births in Texas (2015–2016), we leveraged connected vehicle data to calculate traffic congestion metrics around each maternal address at delivery. Among 579,122 births, we found consistent adverse associations between traffic congestion and reduced term birth weight (8.9 grams), even after accounting for sociodemographic characteristics, typical traffic volume, and diverse environmental coexposures. We estimated that up to 1.2 million pregnancies annually may be exposed to traffic congestion (27% of births in the United States), with ~256,000 in the highest congestion zones. Therefore, improvements to traffic congestion may yield positive cobenefits for infant health. American Association for the Advancement of Science 2022-10-28 /pmc/articles/PMC9616495/ /pubmed/36306359 http://dx.doi.org/10.1126/sciadv.abp8281 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Social and Interdisciplinary Sciences
Willis, Mary D.
Schrank, David
Xu, Chunxue
Harris, Lena
Ritz, Beate R.
Hill, Elaine L.
Hystad, Perry
A population-based cohort study of traffic congestion and infant growth using connected vehicle data
title A population-based cohort study of traffic congestion and infant growth using connected vehicle data
title_full A population-based cohort study of traffic congestion and infant growth using connected vehicle data
title_fullStr A population-based cohort study of traffic congestion and infant growth using connected vehicle data
title_full_unstemmed A population-based cohort study of traffic congestion and infant growth using connected vehicle data
title_short A population-based cohort study of traffic congestion and infant growth using connected vehicle data
title_sort population-based cohort study of traffic congestion and infant growth using connected vehicle data
topic Social and Interdisciplinary Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616495/
https://www.ncbi.nlm.nih.gov/pubmed/36306359
http://dx.doi.org/10.1126/sciadv.abp8281
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