{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Vanoli J"],"funding":["NIEHS NIH HHS","NIMHD NIH HHS"],"pagination":["e181"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8835545"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["6(1)"],"pubmed_abstract":["<h4>Background</h4>Inconsistent evidence has assessed the impact of air pollution exposure on children's growth trajectories. We investigated the role of 90-day average postnatal fine particulate matter (PM<sub>2.5</sub>) exposures by estimating the magnitude of effects at different ages, and the change in child weight trajectory by categories of exposure.<h4>Methods</h4>We obtained weight values from electronic health records at each hospital visit (males = 1859, females = 1601) from birth to 6 years old children recruited into the Boston-based Children's HealthWatch cohort (2009-2014). We applied mixed models, adjusting for individual and maternal confounders using (1) varying-coefficient models allowing for smooth non-linear interaction between age and PM<sub>2.5</sub>, (2) factor-smoot"],"journal":["Environmental epidemiology (Philadelphia, Pa.)"],"pubmed_title":["Postnatal exposure to PM<sub>2.5</sub> and weight trajectories in early childhood."],"pmcid":["PMC8835545"],"funding_grant_id":["P30 ES000002","P50 MD010428"],"pubmed_authors":["Kloog I","Massaro MA","Ettinger de Cuba S","Vanoli J","Zanobetti A","Poblacion A","Schwartz J","Coull BA","Laden F","Fabian PM","Carnes F","Bellocco R"],"additional_accession":[]},"is_claimable":false,"name":"Postnatal exposure to PM<sub>2.5</sub> and weight trajectories in early childhood.","description":"<h4>Background</h4>Inconsistent evidence has assessed the impact of air pollution exposure on children's growth trajectories. We investigated the role of 90-day average postnatal fine particulate matter (PM<sub>2.5</sub>) exposures by estimating the magnitude of effects at different ages, and the change in child weight trajectory by categories of exposure.<h4>Methods</h4>We obtained weight values from electronic health records at each hospital visit (males = 1859, females = 1601) from birth to 6 years old children recruited into the Boston-based Children's HealthWatch cohort (2009-2014). We applied mixed models, adjusting for individual and maternal confounders using (1) varying-coefficient models allowing for smooth non-linear interaction between age and PM<sub>2.5</sub>, (2) factor-smoot","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Feb","modification":"2025-04-06T19:26:10.089Z","creation":"2025-04-06T19:26:10.089Z"},"accession":"S-EPMC8835545","cross_references":{"pubmed":["35169661"],"doi":["10.1097/EE9.0000000000000181"]}}