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Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities
There is a lack of evidence on causal effects of air pollution on gestational age (GA) at delivery. METHODS: Inverse probability weighting (IPW) quantile regression was applied to derive causal marginal population-level GA reduction for GA percentiles associated with increased ambient particulate ma...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595249/ https://www.ncbi.nlm.nih.gov/pubmed/33154990 http://dx.doi.org/10.1097/EE9.0000000000000113 |
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author | Qiu, Xinye Fong, Kelvin C. Shi, Liuhua Papatheodorou, Stefania Di, Qian Just, Allan Kosheleva, Anna Messerlian, Carmen Schwartz, Joel D. |
author_facet | Qiu, Xinye Fong, Kelvin C. Shi, Liuhua Papatheodorou, Stefania Di, Qian Just, Allan Kosheleva, Anna Messerlian, Carmen Schwartz, Joel D. |
author_sort | Qiu, Xinye |
collection | PubMed |
description | There is a lack of evidence on causal effects of air pollution on gestational age (GA) at delivery. METHODS: Inverse probability weighting (IPW) quantile regression was applied to derive causal marginal population-level GA reduction for GA percentiles associated with increased ambient particulate matter with diameter <2.5 μm (PM(2.5)) levels at maternal residential address for each trimester and the month preceding delivery using Massachusetts birth registry 2001 to 2015. Stratified analyses were conducted for neonatal sex, maternal age/race/education, and extreme ambient temperature conditions. RESULTS: For neonates at 2.5th, 10th, 25th, 50th, 75th, and 97.5th percentiles of GA at delivery, we estimated an adjusted GA reduction of 4.2 days (95% confidence interval [CI] = 3.4, 5.0), 1.9 days (1.6, 2.1), 1.2 days (1.0, 1.4), 0.82 days (0.72, 0.92), 0.74 days (0.54, 0.94), and 0.54 days (0.15, 0.93) for each 5 μg/m3 increment in third trimester average PM(2.5) levels. Final gestational month average exposure yielded a similar effect with greater magnitude. Male neonates and neonates of younger (younger than 35 years) and African American mothers as well as with high/low extreme temperature exposure in third trimester were more affected. Estimates were consistently higher at lower GA percentiles, indicating preterm/early-term births being more affected. Low-exposure analyses yielded similar results, restricting to areas with PM(2.5) levels under US ambient annual standard of 12 μg/m(3). CONCLUSIONS: Prenatal exposure to PM(2.5) in late pregnancy reduced GA at delivery among Massachusetts neonates, especially among preterm/early-term births, male neonates, and neonates of younger and African American mothers. Exposure to extremely high/low temperature amplifies the effect of PM(2.5) on GA. |
format | Online Article Text |
id | pubmed-7595249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-75952492020-11-03 Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities Qiu, Xinye Fong, Kelvin C. Shi, Liuhua Papatheodorou, Stefania Di, Qian Just, Allan Kosheleva, Anna Messerlian, Carmen Schwartz, Joel D. Environ Epidemiol Original Research Article There is a lack of evidence on causal effects of air pollution on gestational age (GA) at delivery. METHODS: Inverse probability weighting (IPW) quantile regression was applied to derive causal marginal population-level GA reduction for GA percentiles associated with increased ambient particulate matter with diameter <2.5 μm (PM(2.5)) levels at maternal residential address for each trimester and the month preceding delivery using Massachusetts birth registry 2001 to 2015. Stratified analyses were conducted for neonatal sex, maternal age/race/education, and extreme ambient temperature conditions. RESULTS: For neonates at 2.5th, 10th, 25th, 50th, 75th, and 97.5th percentiles of GA at delivery, we estimated an adjusted GA reduction of 4.2 days (95% confidence interval [CI] = 3.4, 5.0), 1.9 days (1.6, 2.1), 1.2 days (1.0, 1.4), 0.82 days (0.72, 0.92), 0.74 days (0.54, 0.94), and 0.54 days (0.15, 0.93) for each 5 μg/m3 increment in third trimester average PM(2.5) levels. Final gestational month average exposure yielded a similar effect with greater magnitude. Male neonates and neonates of younger (younger than 35 years) and African American mothers as well as with high/low extreme temperature exposure in third trimester were more affected. Estimates were consistently higher at lower GA percentiles, indicating preterm/early-term births being more affected. Low-exposure analyses yielded similar results, restricting to areas with PM(2.5) levels under US ambient annual standard of 12 μg/m(3). CONCLUSIONS: Prenatal exposure to PM(2.5) in late pregnancy reduced GA at delivery among Massachusetts neonates, especially among preterm/early-term births, male neonates, and neonates of younger and African American mothers. Exposure to extremely high/low temperature amplifies the effect of PM(2.5) on GA. Lippincott Williams & Wilkins 2020-09-14 /pmc/articles/PMC7595249/ /pubmed/33154990 http://dx.doi.org/10.1097/EE9.0000000000000113 Text en Copyright © 2020 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Research Article Qiu, Xinye Fong, Kelvin C. Shi, Liuhua Papatheodorou, Stefania Di, Qian Just, Allan Kosheleva, Anna Messerlian, Carmen Schwartz, Joel D. Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities |
title | Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities |
title_full | Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities |
title_fullStr | Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities |
title_full_unstemmed | Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities |
title_short | Prenatal exposure to particulate air pollution and gestational age at delivery in Massachusetts neonates 2001–2015: A perspective of causal modeling and health disparities |
title_sort | prenatal exposure to particulate air pollution and gestational age at delivery in massachusetts neonates 2001–2015: a perspective of causal modeling and health disparities |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595249/ https://www.ncbi.nlm.nih.gov/pubmed/33154990 http://dx.doi.org/10.1097/EE9.0000000000000113 |
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