Associations of Pre- and Postnatal Air Pollution Exposures with Child Behavioral Problems and Cognitive Performance: A U.S. Multi-Cohort Study.
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| Title: | Associations of Pre- and Postnatal Air Pollution Exposures with Child Behavioral Problems and Cognitive Performance: A U.S. Multi-Cohort Study. |
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| Authors: | Yu Ni1 niyu@uw.edu, Loftus, Christine T.1, Szpiro, Adam A.2, Young, Michael T.1, Hazlehurst, Marnie F.1, Murphy, Laura E.3, Tylavsky, Frances A.4, Mason, W. Alex4, LeWinn, Kaja Z.5, Sathyanarayana, Sheela1,6,7, Barrett, Emily S.8, Bush, Nicole R.5,9, Karr, Catherine J.1,6,10 |
| Source: | Environmental Health Perspectives. Jun2022, Vol. 130 Issue 6, p067008-1-067008-15. 15p. 1 Diagram, 4 Charts, 2 Graphs. |
| Subject Terms: | *Air pollution, *Particulate matter, *Nitrogen oxides, *Environmental exposure, Statistics, Confidence intervals, Multivariate analysis, Research methodology, Regression analysis, Prenatal exposure delayed effects, Behavior disorders in children, Risk assessment, Child Behavior Checklist, Research funding, Cognitive testing, Data analysis software, Data analysis, Children, Pregnancy |
| Abstract: | BACKGROUND: Population studies support the adverse associations of air pollution exposures with child behavioral functioning and cognitive performance, but few studies have used spatiotemporally resolved pollutant assessments. OBJECTIVES: We investigated these associations using more refined exposure assessments in 1,967 mother–child dyads from three U.S. pregnancy cohorts in six cities in the ECHO-PATHWAYS Consortium. METHODS: Pre- and postnatal nitrogen dioxide (NO2) and particulate matter (PM) ≤2.5 µm in aerodynamic diameter (PM2.5) exposures were derived from an advanced spatiotemporal model. Child behavior was reported as Total Problems raw score using the Child Behavior Checklist at age 4–6 y. Child cognition was assessed using cohort-specific cognitive performance scales and quantified as the Full-Scale Intelligence Quotient (IQ). We fitted multivariate linear regression models that were adjusted for sociodemographic, behavioral, and psychological factors to estimate associations per 2- unit increase in pollutant in each exposure window and examined modification by child sex. Identified critical windows were further verified by distributed lag models (DLMs). RESULTS: Mean NO2 and PM2.5 ranged from 8.4 to 9.0 ppb and 8.4 to 9.1 µg/m³, respectively, across pre- and postnatal windows. Average child Total Problems score and IQ were 22.7 [standard deviation (SD): 18.5] and 102.6 (SD: 15.3), respectively. Children with higher prenatal NO2 exposures were likely to have more behavioral problems [b: 1.24; 95% confidence interval (CI): 0.39, 2.08; per 2 ppb NO2], particularly NO2 in the first and second trimester. Each 2-µg/m³ increase in PM2.5 at age 2–4 y was associated with a 3.59 unit (95% CI: 0.35, 6.84) higher Total Problems score and a 2.63 point (95% CI: -5.08, -0.17) lower IQ. The associations between PM2.5 and Total Problems score were generally stronger in girls. Most predefined windows identified were not confirmed by DLMs. DISCUSSION: Our study extends earlier findings that have raised concerns about impaired behavioral functioning and cognitive performance in children exposed to NO2 and PM2.5 in utero and in early life. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 157788890 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Associations of Pre- and Postnatal Air Pollution Exposures with Child Behavioral Problems and Cognitive Performance: A U.S. Multi-Cohort Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yu+Ni%22">Yu Ni</searchLink><relatesTo>1</relatesTo><i> niyu@uw.edu</i><br /><searchLink fieldCode="AR" term="%22Loftus%2C+Christine+T%2E%22">Loftus, Christine T.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Szpiro%2C+Adam+A%2E%22">Szpiro, Adam A.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Young%2C+Michael+T%2E%22">Young, Michael T.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hazlehurst%2C+Marnie+F%2E%22">Hazlehurst, Marnie F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Murphy%2C+Laura+E%2E%22">Murphy, Laura E.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Tylavsky%2C+Frances+A%2E%22">Tylavsky, Frances A.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Mason%2C+W%2E+Alex%22">Mason, W. Alex</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22LeWinn%2C+Kaja+Z%2E%22">LeWinn, Kaja Z.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Sathyanarayana%2C+Sheela%22">Sathyanarayana, Sheela</searchLink><relatesTo>1,6,7</relatesTo><br /><searchLink fieldCode="AR" term="%22Barrett%2C+Emily+S%2E%22">Barrett, Emily S.</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Bush%2C+Nicole+R%2E%22">Bush, Nicole R.</searchLink><relatesTo>5,9</relatesTo><br /><searchLink fieldCode="AR" term="%22Karr%2C+Catherine+J%2E%22">Karr, Catherine J.</searchLink><relatesTo>1,6,10</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Jun2022, Vol. 130 Issue 6, p067008-1-067008-15. 15p. 1 Diagram, 4 Charts, 2 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink><br />*<searchLink fieldCode="DE" term="%22Nitrogen+oxides%22">Nitrogen oxides</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+exposure%22">Environmental exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Prenatal+exposure+delayed+effects%22">Prenatal exposure delayed effects</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+disorders+in+children%22">Behavior disorders in children</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Child+Behavior+Checklist%22">Child Behavior Checklist</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+testing%22">Cognitive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Pregnancy%22">Pregnancy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Population studies support the adverse associations of air pollution exposures with child behavioral functioning and cognitive performance, but few studies have used spatiotemporally resolved pollutant assessments. OBJECTIVES: We investigated these associations using more refined exposure assessments in 1,967 mother–child dyads from three U.S. pregnancy cohorts in six cities in the ECHO-PATHWAYS Consortium. METHODS: Pre- and postnatal nitrogen dioxide (NO2) and particulate matter (PM) ≤2.5 µm in aerodynamic diameter (PM2.5) exposures were derived from an advanced spatiotemporal model. Child behavior was reported as Total Problems raw score using the Child Behavior Checklist at age 4–6 y. Child cognition was assessed using cohort-specific cognitive performance scales and quantified as the Full-Scale Intelligence Quotient (IQ). We fitted multivariate linear regression models that were adjusted for sociodemographic, behavioral, and psychological factors to estimate associations per 2- unit increase in pollutant in each exposure window and examined modification by child sex. Identified critical windows were further verified by distributed lag models (DLMs). RESULTS: Mean NO2 and PM2.5 ranged from 8.4 to 9.0 ppb and 8.4 to 9.1 µg/m³, respectively, across pre- and postnatal windows. Average child Total Problems score and IQ were 22.7 [standard deviation (SD): 18.5] and 102.6 (SD: 15.3), respectively. Children with higher prenatal NO2 exposures were likely to have more behavioral problems [b: 1.24; 95% confidence interval (CI): 0.39, 2.08; per 2 ppb NO2], particularly NO2 in the first and second trimester. Each 2-µg/m³ increase in PM2.5 at age 2–4 y was associated with a 3.59 unit (95% CI: 0.35, 6.84) higher Total Problems score and a 2.63 point (95% CI: -5.08, -0.17) lower IQ. The associations between PM2.5 and Total Problems score were generally stronger in girls. Most predefined windows identified were not confirmed by DLMs. DISCUSSION: Our study extends earlier findings that have raised concerns about impaired behavioral functioning and cognitive performance in children exposed to NO2 and PM2.5 in utero and in early life. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1289/ehp10248 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 067008-1 Subjects: – SubjectFull: Air pollution Type: general – SubjectFull: Particulate matter Type: general – SubjectFull: Nitrogen oxides Type: general – SubjectFull: Environmental exposure Type: general – SubjectFull: Statistics Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Prenatal exposure delayed effects Type: general – SubjectFull: Behavior disorders in children Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Child Behavior Checklist Type: general – SubjectFull: Research funding Type: general – SubjectFull: Cognitive testing Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Children Type: general – SubjectFull: Pregnancy Type: general Titles: – TitleFull: Associations of Pre- and Postnatal Air Pollution Exposures with Child Behavioral Problems and Cognitive Performance: A U.S. Multi-Cohort Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu Ni – PersonEntity: Name: NameFull: Loftus, Christine T. – PersonEntity: Name: NameFull: Szpiro, Adam A. – PersonEntity: Name: NameFull: Young, Michael T. – PersonEntity: Name: NameFull: Hazlehurst, Marnie F. – PersonEntity: Name: NameFull: Murphy, Laura E. – PersonEntity: Name: NameFull: Tylavsky, Frances A. – PersonEntity: Name: NameFull: Mason, W. Alex – PersonEntity: Name: NameFull: LeWinn, Kaja Z. – PersonEntity: Name: NameFull: Sathyanarayana, Sheela – PersonEntity: Name: NameFull: Barrett, Emily S. – PersonEntity: Name: NameFull: Bush, Nicole R. – PersonEntity: Name: NameFull: Karr, Catherine J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 130 – Type: issue Value: 6 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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