<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Lester BM</submitter><funding>Eunice Kennedy Shriver National Institute of Child Health and Human Development</funding><funding>NICHD NIH HHS</funding><funding>NIEHS NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>National Institute of Mental Health</funding><funding>NIH HHS</funding><pubmed_abstract>&lt;b>Aim:&lt;/b> The current work was designed to demonstrate the application of the exposome framework in examining associations between exposures and children's long-term neurodevelopmental and behavioral outcomes. &lt;b>Methods:&lt;/b> Longitudinal data were collected from birth through age 6 from 402 preterm infants. Three statistical methods were utilized to demonstrate the exposome framework: exposome-wide association study, cumulative exposure and machine learning models, with and without epigenetic data. &lt;b>Results:&lt;/b> Each statistical approach answered a distinct research question regarding the impact of exposures on longitudinal child outcomes. Findings highlight associations between exposures, epigenetics and executive function. &lt;b>Conclusion:&lt;/b> Findings demonstrate how an exposome-base</pubmed_abstract><journal>Epigenomics</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11157992</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Toward a more holistic approach to the study of exposures and child outcomes.</pubmed_title><pmcid>PMC11157992</pmcid><funding_grant_id>K01MH129510</funding_grant_id><funding_grant_id>R01 HD084515</funding_grant_id><funding_grant_id>K01 MH129510</funding_grant_id><funding_grant_id>R01 HD072267</funding_grant_id><funding_grant_id>UH3 OD023347</funding_grant_id><funding_grant_id>R01HD072267, R01HD084515, UH3OD023347</funding_grant_id><funding_grant_id>U2C ES026555</funding_grant_id><pubmed_authors>Marsit CJ</pubmed_authors><pubmed_authors>Shuster CL</pubmed_authors><pubmed_authors>Everson TM</pubmed_authors><pubmed_authors>Camerota M</pubmed_authors><pubmed_authors>Lester BM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Toward a more holistic approach to the study of exposures and child outcomes.</name><description>&lt;b>Aim:&lt;/b> The current work was designed to demonstrate the application of the exposome framework in examining associations between exposures and children's long-term neurodevelopmental and behavioral outcomes. &lt;b>Methods:&lt;/b> Longitudinal data were collected from birth through age 6 from 402 preterm infants. Three statistical methods were utilized to demonstrate the exposome framework: exposome-wide association study, cumulative exposure and machine learning models, with and without epigenetic data. &lt;b>Results:&lt;/b> Each statistical approach answered a distinct research question regarding the impact of exposures on longitudinal child outcomes. Findings highlight associations between exposures, epigenetics and executive function. &lt;b>Conclusion:&lt;/b> Findings demonstrate how an exposome-base</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-07-15T07:38:10.013Z</modification><creation>2026-07-01T03:07:38.212Z</creation></dates><accession>S-EPMC11157992</accession><cross_references><pubmed>38482639</pubmed><doi>10.2217/epi-2023-0424</doi></cross_references></HashMap>