TY - JOUR
T1 - Environmental exposures to pesticides, phthalates, phenols and trace elements are associated with neurodevelopment in the CHARGE study
AU - Bennett, Deborah H.
AU - Busgang, Stefanie A.
AU - Kannan, Kurunthachalam
AU - Parsons, Patrick J.
AU - Takazawa, Mari
AU - Palmer, Christopher D.
AU - Schmidt, Rebecca J.
AU - Doucette, John T.
AU - Schweitzer, Julie B.
AU - Gennings, Chris
AU - Hertz-Picciotto, Irva
N1 - Funding Information:
Research reported in this publication was supported by the Environmental influences on Child Health Outcomes (ECHO) program, Office of The Director, National Institutes of Health, under Award Number UG3OD023365, UH3OD023365 (Bennett, Schmidt, Hert-Picciotto, Schwizer), This research was also supported by NIEHS grants R01ES020392, R24ES028533, P30ES023513, P01ES11269, U2CES026555, U2CES026560, U.S EPA STAR grant 83543201, NICHD grant U54HD079125, ; P50HD103526; U2CES026542-01 (Kannan, Parsons) and the UC Davis MIND Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Lab and epidemiological data are hosted at the HHEAR Data Center Repository (https://hheardatacenter.mssm.edu/) under the following DOI: 10.36043/1461_219 and 10.36043/1461_222.
Publisher Copyright:
© 2021
PY - 2022/3
Y1 - 2022/3
N2 - Objective: To determine if higher exposures measured in early childhood to environmental phenols, phthalates, pesticides, and/or trace elements, are associated with increased odds of having a diagnosis of Autism Spectrum Disorder (ASD), Developmental Delay (DD), or Other Early Concerns (OEC) compared to typically developing children (TD). Methods: This study included 627 children between the ages of 2–5 who participated in the Childhood Autism Risks from Genetics and Environment (CHARGE) study. Urine samples were collected at the same study visit where diagnostic assessments to confirm diagnosis indicated during the recruitment process were performed. Adjusted multinomial regression models of each chemical with diagnosis as the outcome were conducted. Additionally, two methods were used to analyze mixtures: repeated holdout multinomial weighted quantile sum (WQS) regression for each chemical class; and a total urinary mixture effect was assessed with repeated holdout random subset WQS. Results: Many urinary chemicals were associated with increased odds of ASD, DD or OEC compared to TD; however, most did not remain significant after false discovery rate adjustment. Repeated holdout WQS indices provided evidence for associations of both a phenol/paraben mixture effect and a trace element mixture effect on DD independently. In analyses adjusted for confounders and other exposures, results suggested an association of a pesticide mixture effect with increased risk for ASD. Results also suggested associations of a total urinary mixture with greater odds of both ASD and DD separately. Conclusion: Higher concentrations of urinary biomarkers were associated with ASD, DD, and OEC compared to TD, with consistency of the results comparing single chemical analyses and mixture analyses. Given that the biospecimens used for chemical analysis were generally collected many months after diagnoses were made, the direction of any causal association is unknown. Hence findings may reflect higher exposures among children with non-typical development than TD children due to differences in behaviors, metabolism, or toxicokinetics.
AB - Objective: To determine if higher exposures measured in early childhood to environmental phenols, phthalates, pesticides, and/or trace elements, are associated with increased odds of having a diagnosis of Autism Spectrum Disorder (ASD), Developmental Delay (DD), or Other Early Concerns (OEC) compared to typically developing children (TD). Methods: This study included 627 children between the ages of 2–5 who participated in the Childhood Autism Risks from Genetics and Environment (CHARGE) study. Urine samples were collected at the same study visit where diagnostic assessments to confirm diagnosis indicated during the recruitment process were performed. Adjusted multinomial regression models of each chemical with diagnosis as the outcome were conducted. Additionally, two methods were used to analyze mixtures: repeated holdout multinomial weighted quantile sum (WQS) regression for each chemical class; and a total urinary mixture effect was assessed with repeated holdout random subset WQS. Results: Many urinary chemicals were associated with increased odds of ASD, DD or OEC compared to TD; however, most did not remain significant after false discovery rate adjustment. Repeated holdout WQS indices provided evidence for associations of both a phenol/paraben mixture effect and a trace element mixture effect on DD independently. In analyses adjusted for confounders and other exposures, results suggested an association of a pesticide mixture effect with increased risk for ASD. Results also suggested associations of a total urinary mixture with greater odds of both ASD and DD separately. Conclusion: Higher concentrations of urinary biomarkers were associated with ASD, DD, and OEC compared to TD, with consistency of the results comparing single chemical analyses and mixture analyses. Given that the biospecimens used for chemical analysis were generally collected many months after diagnoses were made, the direction of any causal association is unknown. Hence findings may reflect higher exposures among children with non-typical development than TD children due to differences in behaviors, metabolism, or toxicokinetics.
KW - Autism
KW - Environmental phenols
KW - Mixtures
KW - Paraben
KW - Pesticide
KW - Weighted quantile sum
UR - http://www.scopus.com/inward/record.url?scp=85123344309&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2021.107075
DO - 10.1016/j.envint.2021.107075
M3 - Article
C2 - 35085933
AN - SCOPUS:85123344309
SN - 0160-4120
VL - 161
JO - Environment international
JF - Environment international
M1 - 107075
ER -