Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort

While prior studies report associations between fine particulate matter (PM2.5) exposure and fetal growth, few have explored temporally refined susceptible windows of exposure.We included 2328 women from the Spanish INMA Project from 2003 to 2008. Longitudinal growth curves were constructed for each...

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Authors: Chen, Wei-Jen, Rector, Alison, Guxens, Mónica, Iñiguez, Carmen, Swartz, Michael D., Symanski, Elaine, Ibarluzea Maurolagoitia, Jesús María, Ambros, Albert, Estarlich, Marisa, Lertxundi Manterola, Aitana, Riaño Galán, Isolina, Sunyer, Jordi, Fernández Somoano, Ana, Chauhan, Suneet P. J., Ish, Jennifer, Whitworth, Kristina W.
Format: article
Publication Date:2022
Country:España
Institution:Universidad del País Vasco
Repository:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/58847
Online Access:http://hdl.handle.net/10810/58847
Access Level:Open access
Keyword:air pollution
PM2.5
fetal growth
susceptible windows
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spelling Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohortChen, Wei-JenRector, AlisonGuxens, MónicaIñiguez, CarmenSwartz, Michael D.Symanski, ElaineIbarluzea Maurolagoitia, Jesús MaríaAmbros, AlbertEstarlich, MarisaLertxundi Manterola, AitanaRiaño Galán, IsolinaSunyer, JordiFernández Somoano, AnaChauhan, Suneet P. J.Ish, JenniferWhitworth, Kristina W.air pollutionPM2.5fetal growthsusceptible windowsWhile prior studies report associations between fine particulate matter (PM2.5) exposure and fetal growth, few have explored temporally refined susceptible windows of exposure.We included 2328 women from the Spanish INMA Project from 2003 to 2008. Longitudinal growth curves were constructed for each fetus using ultrasounds from 12, 20, and 34 gestational weeks. Z-scores representing growth trajectories of biparietal diameter, femur length, abdominal circumference (AC), and estimated fetal weight (EFW) during early (0-12 weeks), mid-(12-20 weeks), and late (20-34 weeks) pregnancy were calcu-lated. A spatio-temporal random forest model with back-extrapolation provided weekly PM2.5 exposure estimates for each woman during her pregnancy. Distributed lag non-linear models were implemented within the Bayesian hierarchical framework to identify susceptible windows of exposure for each outcome and cumulative effects [13cum, 95% credible interval (CrI)] were aggregated across adjacent weeks. For comparison, general linear models evaluated associations between PM2.5 averaged across multi-week periods (i.e., weeks 1-11, 12-19, and 20-33) and fetal growth, mutually adjusted for exposure during each period. Results are presented as %change in z-scores per 5 mu g/m3 in PM2.5, adjusted for covariates.Weeks 1-6 [13cum =-0.77%, 95%CrI (-1.07%,-0.47%)] were identified as a susceptible window of exposure for reduced late pregnancy EFW while weeks 29-33 were positively associated with this outcome [13cum = 0.42%, 95%CrI (0.20%, 0.64%)]. A similar pattern was observed for AC in late pregnancy. In linear regression models, PM2.5 exposure averaged across weeks 1-11 was associated with reduced late pregnancy EFW and AC; but, positive associations between PM2.5 and EFW or AC trajectories in late pregnancy were not observed.PM2.5 exposures during specific weeks may affect fetal growth differentially across pregnancy and such as-sociations may be missed by averaging exposure across multi-week periods, highlighting the importance of temporally refined exposure estimates when studying the associations of air pollution with fetal growth.Elsevier202220222023info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/58847reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://www.sciencedirect.com/science/article/pii/S0013935122019557?via%3Dihubinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/3.0/es/© 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).Atribución-NoComercial-SinDerivadas 3.0 Españaoai:addi.ehu.eus:10810/588472026-06-18T09:23:17Z
dc.title.none.fl_str_mv Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
title Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
spellingShingle Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
Chen, Wei-Jen
air pollution
PM2.5
fetal growth
susceptible windows
title_short Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
title_full Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
title_fullStr Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
title_full_unstemmed Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
title_sort Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort
dc.creator.none.fl_str_mv Chen, Wei-Jen
Rector, Alison
Guxens, Mónica
Iñiguez, Carmen
Swartz, Michael D.
Symanski, Elaine
Ibarluzea Maurolagoitia, Jesús María
Ambros, Albert
Estarlich, Marisa
Lertxundi Manterola, Aitana
Riaño Galán, Isolina
Sunyer, Jordi
Fernández Somoano, Ana
Chauhan, Suneet P. J.
Ish, Jennifer
Whitworth, Kristina W.
author Chen, Wei-Jen
author_facet Chen, Wei-Jen
Rector, Alison
Guxens, Mónica
Iñiguez, Carmen
Swartz, Michael D.
Symanski, Elaine
Ibarluzea Maurolagoitia, Jesús María
Ambros, Albert
Estarlich, Marisa
Lertxundi Manterola, Aitana
Riaño Galán, Isolina
Sunyer, Jordi
Fernández Somoano, Ana
Chauhan, Suneet P. J.
Ish, Jennifer
Whitworth, Kristina W.
author_role author
author2 Rector, Alison
Guxens, Mónica
Iñiguez, Carmen
Swartz, Michael D.
Symanski, Elaine
Ibarluzea Maurolagoitia, Jesús María
Ambros, Albert
Estarlich, Marisa
Lertxundi Manterola, Aitana
Riaño Galán, Isolina
Sunyer, Jordi
Fernández Somoano, Ana
Chauhan, Suneet P. J.
Ish, Jennifer
Whitworth, Kristina W.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv air pollution
PM2.5
fetal growth
susceptible windows
topic air pollution
PM2.5
fetal growth
susceptible windows
description While prior studies report associations between fine particulate matter (PM2.5) exposure and fetal growth, few have explored temporally refined susceptible windows of exposure.We included 2328 women from the Spanish INMA Project from 2003 to 2008. Longitudinal growth curves were constructed for each fetus using ultrasounds from 12, 20, and 34 gestational weeks. Z-scores representing growth trajectories of biparietal diameter, femur length, abdominal circumference (AC), and estimated fetal weight (EFW) during early (0-12 weeks), mid-(12-20 weeks), and late (20-34 weeks) pregnancy were calcu-lated. A spatio-temporal random forest model with back-extrapolation provided weekly PM2.5 exposure estimates for each woman during her pregnancy. Distributed lag non-linear models were implemented within the Bayesian hierarchical framework to identify susceptible windows of exposure for each outcome and cumulative effects [13cum, 95% credible interval (CrI)] were aggregated across adjacent weeks. For comparison, general linear models evaluated associations between PM2.5 averaged across multi-week periods (i.e., weeks 1-11, 12-19, and 20-33) and fetal growth, mutually adjusted for exposure during each period. Results are presented as %change in z-scores per 5 mu g/m3 in PM2.5, adjusted for covariates.Weeks 1-6 [13cum =-0.77%, 95%CrI (-1.07%,-0.47%)] were identified as a susceptible window of exposure for reduced late pregnancy EFW while weeks 29-33 were positively associated with this outcome [13cum = 0.42%, 95%CrI (0.20%, 0.64%)]. A similar pattern was observed for AC in late pregnancy. In linear regression models, PM2.5 exposure averaged across weeks 1-11 was associated with reduced late pregnancy EFW and AC; but, positive associations between PM2.5 and EFW or AC trajectories in late pregnancy were not observed.PM2.5 exposures during specific weeks may affect fetal growth differentially across pregnancy and such as-sociations may be missed by averaging exposure across multi-week periods, highlighting the importance of temporally refined exposure estimates when studying the associations of air pollution with fetal growth.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/58847
url http://hdl.handle.net/10810/58847
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0013935122019557?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Atribución-NoComercial-SinDerivadas 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Atribución-NoComercial-SinDerivadas 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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