<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Rahman MM</submitter><funding>National Institute of Environmental Health Sciences</funding><funding>U.S. Environmental Protection Agency</funding><funding>NIEHS NIH HHS</funding><funding>Kaiser Permanente Southern California Direct Community Benefit Funds</funding><funding>National Aeronautics and Space Administration</funding><pagination>405-414</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10898516</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>57(1)</volume><pubmed_abstract>This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM&lt;sub>2.5&lt;/sub>) components estimated using two independent exposure models. The cohort included 318 750 mother-child pairs with singleton deliveries in Kaiser Permanente Southern California hospitals from 2001 to 2014 and followed until age five. ASD cases during follow-up (&lt;i>N&lt;/i> = 4559) were identified by ICD codes. Prenatal exposures to PM&lt;sub>2.5&lt;/sub>, elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO&lt;sub>3&lt;/sub>&lt;sup>-&lt;/sup>), and sulfate (SO&lt;sub>4&lt;/sub>&lt;sup>2-&lt;/sup>) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during t</pubmed_abstract><journal>Environmental science &amp; technology</journal><pubmed_title>Associations of Autism Spectrum Disorder with PM&lt;sub>2.5&lt;/sub> Components: A Comparative Study Using Two Different Exposure Models.</pubmed_title><pmcid>PMC10898516</pmcid><funding_grant_id>R56 ES028121</funding_grant_id><funding_grant_id>P30ES007048</funding_grant_id><funding_grant_id>R01 ES029963</funding_grant_id><funding_grant_id>R56ES028121</funding_grant_id><funding_grant_id>R01ES029963</funding_grant_id><funding_grant_id>80NSSC21K0508</funding_grant_id><funding_grant_id>P30 ES007048</funding_grant_id><funding_grant_id>RD-8358720</funding_grant_id><pubmed_authors>Lin JC</pubmed_authors><pubmed_authors>Chow T</pubmed_authors><pubmed_authors>Xiang AH</pubmed_authors><pubmed_authors>Lewinger JP</pubmed_authors><pubmed_authors>Lurmann F</pubmed_authors><pubmed_authors>Schwartz J</pubmed_authors><pubmed_authors>Rahman MM</pubmed_authors><pubmed_authors>Chen JC</pubmed_authors><pubmed_authors>Martin RV</pubmed_authors><pubmed_authors>Chen Z</pubmed_authors><pubmed_authors>McConnell R</pubmed_authors><pubmed_authors>Carter SA</pubmed_authors><pubmed_authors>van Donkelaar A</pubmed_authors><pubmed_authors>Eckel SP</pubmed_authors><pubmed_authors>Martinez MP</pubmed_authors><pubmed_authors>Kleeman MJ</pubmed_authors><pubmed_authors>Yu X</pubmed_authors><pubmed_authors>Rud D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Associations of Autism Spectrum Disorder with PM&lt;sub>2.5&lt;/sub> Components: A Comparative Study Using Two Different Exposure Models.</name><description>This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM&lt;sub>2.5&lt;/sub>) components estimated using two independent exposure models. The cohort included 318 750 mother-child pairs with singleton deliveries in Kaiser Permanente Southern California hospitals from 2001 to 2014 and followed until age five. ASD cases during follow-up (&lt;i>N&lt;/i> = 4559) were identified by ICD codes. Prenatal exposures to PM&lt;sub>2.5&lt;/sub>, elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO&lt;sub>3&lt;/sub>&lt;sup>-&lt;/sup>), and sulfate (SO&lt;sub>4&lt;/sub>&lt;sup>2-&lt;/sup>) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during t</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2025-04-26T04:16:20.785Z</modification><creation>2024-11-07T01:01:37.576Z</creation></dates><accession>S-EPMC10898516</accession><cross_references><pubmed>36548990</pubmed><doi>10.1021/acs.est.2c05197</doi></cross_references></HashMap>