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dc.contributor.authorChen, Wei-Jen
dc.contributor.authorRector, Alison
dc.contributor.authorGuxens, Mònica
dc.contributor.authorIñiguez, Carmen
dc.contributor.authorSwartz, Michael D.
dc.contributor.authorSymanski, Elaine
dc.contributor.authorIbarluzea Maurolagoitia, Jesús María
dc.contributor.authorAmbros, Albert
dc.contributor.authorEstarlich, Marisa
dc.contributor.authorLertxundi Manterola, Aitana
dc.contributor.authorRiaño Galán, Isolina
dc.contributor.authorSunyer, Jordi
dc.contributor.authorFernández Somoano, Ana
dc.contributor.authorChauhan, Suneet P. J.
dc.contributor.authorIsh, Jennifer
dc.contributor.authorWhitworth, Kristina W.
dc.date.accessioned2022-12-16T16:44:33Z
dc.date.available2022-12-16T16:44:33Z
dc.date.issued2023-01
dc.identifier.citationEnvironmental Research 216(2) : (2023) // Article ID 114628es_ES
dc.identifier.issn0013-9351
dc.identifier.issn1096-0953
dc.identifier.urihttp://hdl.handle.net/10810/58847
dc.description.abstractWhile 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.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectair pollutiones_ES
dc.subjectPM2.5es_ES
dc.subjectfetal growthes_ES
dc.subjectsusceptible windowses_ES
dc.titleSusceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohortes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 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/).es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0013935122019557?via%3Dihubes_ES
dc.identifier.doi10.1016/j.envres.2022.114628
dc.departamentoesMedicina preventiva y salud públicaes_ES
dc.departamentoeuPrebentzio medikuntza eta osasun publikoaes_ES


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© 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/).
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