<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>7(2)</volume><submitter>Hsu HL</submitter><pubmed_abstract>Research linking prenatal ambient air pollution with childhood lung function has largely considered one pollutant at a time. Real-life exposure is to mixtures of pollutants and their chemical components; not considering joint effects/effect modification by co-exposures contributes to misleading results.&lt;h4>Methods&lt;/h4>Analyses included 198 mother-child dyads recruited from two hospitals and affiliated community health centers in Boston, Massachusetts, USA. Daily prenatal pollutant exposures were estimated using satellite-based hybrid chemical-transport models, including nitrogen dioxide(NO&lt;sub>2&lt;/sub>), ozone(O&lt;sub>3&lt;/sub>), and fine particle constituents (elemental carbon [EC], organic carbon [OC], nitrate [NO&lt;sub>3&lt;/sub> &lt;sup>-&lt;/sup>], sulfate [SO&lt;sub>4&lt;/sub> &lt;sup>2-&lt;/sup>], and ammonium [NH&lt;sub>4&lt;/sub> &lt;sup>+&lt;/sup>]). Spirometry was performed at age 6.99 ± 0.89 years; forced expiratory volume in 1s (FEV&lt;sub>1&lt;/sub>), forced vital capacity (FVC), and forced mid-expiratory flow (FEF&lt;sub>25-75&lt;/sub>) z-scores accounted for age, sex, height, and race/ethnicity. We examined associations between weekly-averaged prenatal pollution mixture levels and outcomes using Bayesian Kernel Machine Regression-Distributed Lag Models (BKMR-DLMs) to identify susceptibility windows for each component and estimate a potentially complex mixture exposure-response relationship including nonlinear effects and interactions among exposures. We also performed linear regression models using time-weighted-mixture component levels derived by BKMR-DLMs adjusting for maternal age, education, perinatal smoking, and temperature.&lt;h4>Results&lt;/h4>Most mothers were Hispanic (63%) or Black (21%) with ≤12 years of education (67%). BKMR-DLMs identified a significant effect for O&lt;sub>3&lt;/sub> exposure at 18-22 weeks gestation predicting lower FEV&lt;sub>1&lt;/sub>/FVC. Linear regression identified significant associations for O&lt;sub>3,&lt;/sub> NH&lt;sub>4&lt;/sub> &lt;sup>+&lt;/sup>, and OC with decreased FEV&lt;sub>1&lt;/sub>/FVC, FEV&lt;sub>1&lt;/sub>, and FEF&lt;sub>25-75&lt;/sub>, respectively. There was no evidence of interactions among pollutants.&lt;h4>Conclusions&lt;/h4>In this multi-pollutant model, prenatal O&lt;sub>3&lt;/sub>, OC, and NH&lt;sub>4&lt;/sub> &lt;sup>+&lt;/sup> were most strongly associated with reduced early childhood lung function.</pubmed_abstract><journal>Environmental epidemiology (Philadelphia, Pa.)</journal><pagination>e249</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10097575</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prenatal Ambient Air Pollutant Mixture Exposure and Early School-age Lung Function.</pubmed_title><pmcid>PMC10097575</pmcid><pubmed_authors>Wilson A</pubmed_authors><pubmed_authors>Kloog I</pubmed_authors><pubmed_authors>Wright RJ</pubmed_authors><pubmed_authors>Schwartz J</pubmed_authors><pubmed_authors>Coull BA</pubmed_authors><pubmed_authors>Hsu HL</pubmed_authors><pubmed_authors>Wright RO</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prenatal Ambient Air Pollutant Mixture Exposure and Early School-age Lung Function.</name><description>Research linking prenatal ambient air pollution with childhood lung function has largely considered one pollutant at a time. Real-life exposure is to mixtures of pollutants and their chemical components; not considering joint effects/effect modification by co-exposures contributes to misleading results.&lt;h4>Methods&lt;/h4>Analyses included 198 mother-child dyads recruited from two hospitals and affiliated community health centers in Boston, Massachusetts, USA. Daily prenatal pollutant exposures were estimated using satellite-based hybrid chemical-transport models, including nitrogen dioxide(NO&lt;sub>2&lt;/sub>), ozone(O&lt;sub>3&lt;/sub>), and fine particle constituents (elemental carbon [EC], organic carbon [OC], nitrate [NO&lt;sub>3&lt;/sub> &lt;sup>-&lt;/sup>], sulfate [SO&lt;sub>4&lt;/sub> &lt;sup>2-&lt;/sup>], and ammonium [NH&lt;sub>4&lt;/sub> &lt;sup>+&lt;/sup>]). Spirometry was performed at age 6.99 ± 0.89 years; forced expiratory volume in 1s (FEV&lt;sub>1&lt;/sub>), forced vital capacity (FVC), and forced mid-expiratory flow (FEF&lt;sub>25-75&lt;/sub>) z-scores accounted for age, sex, height, and race/ethnicity. We examined associations between weekly-averaged prenatal pollution mixture levels and outcomes using Bayesian Kernel Machine Regression-Distributed Lag Models (BKMR-DLMs) to identify susceptibility windows for each component and estimate a potentially complex mixture exposure-response relationship including nonlinear effects and interactions among exposures. We also performed linear regression models using time-weighted-mixture component levels derived by BKMR-DLMs adjusting for maternal age, education, perinatal smoking, and temperature.&lt;h4>Results&lt;/h4>Most mothers were Hispanic (63%) or Black (21%) with ≤12 years of education (67%). BKMR-DLMs identified a significant effect for O&lt;sub>3&lt;/sub> exposure at 18-22 weeks gestation predicting lower FEV&lt;sub>1&lt;/sub>/FVC. Linear regression identified significant associations for O&lt;sub>3,&lt;/sub> NH&lt;sub>4&lt;/sub> &lt;sup>+&lt;/sup>, and OC with decreased FEV&lt;sub>1&lt;/sub>/FVC, FEV&lt;sub>1&lt;/sub>, and FEF&lt;sub>25-75&lt;/sub>, respectively. There was no evidence of interactions among pollutants.&lt;h4>Conclusions&lt;/h4>In this multi-pollutant model, prenatal O&lt;sub>3&lt;/sub>, OC, and NH&lt;sub>4&lt;/sub> &lt;sup>+&lt;/sup> were most strongly associated with reduced early childhood lung function.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Apr</publication><modification>2025-04-04T12:43:55.397Z</modification><creation>2025-04-04T12:43:55.397Z</creation></dates><accession>S-EPMC10097575</accession><cross_references><pubmed>37064424</pubmed><doi>10.1097/EE9.0000000000000249</doi></cross_references></HashMap>