TY - JOUR
T1 - Associations of Autism Spectrum Disorder with PM2.5 Components
T2 - A Comparative Study Using Two Different Exposure Models
AU - Rahman, Md Mostafijur
AU - Carter, Sarah A.
AU - Lin, Jane C.
AU - Chow, Ting
AU - Yu, Xin
AU - Martinez, Mayra P.
AU - Chen, Zhanghua
AU - Chen, Jiu Chiuan
AU - Rud, Daniel
AU - Lewinger, Juan P.
AU - van Donkelaar, Aaron
AU - Martin, Randall V.
AU - Eckel, Sandrah Proctor
AU - Schwartz, Joel
AU - Lurmann, Fred
AU - Kleeman, Michael J.
AU - McConnell, Rob
AU - Xiang, Anny H.
N1 - Publisher Copyright:
© 2022 American Chemical Society.
PY - 2023/1/10
Y1 - 2023/1/10
N2 - This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM2.5) 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 (N = 4559) were identified by ICD codes. Prenatal exposures to PM2.5, elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO3-), and sulfate (SO42-) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during the entire pregnancy, first, second, and third trimester. In single-pollutant models, ASD was associated with pregnancy-average PM2.5, EC/BC, OM, and SO42- exposures from both exposure models, after adjustment for covariates. The direction of effect estimates was consistent for EC/BC and OM and least consistent for NO3-. EC/BC, OM, and SO42- were generally robust to adjustment for other components and for PM2.5. EC/BC and OM effect estimates were generally larger and more consistent in the first and second trimester and SO42- in the third trimester. Future PM2.5 composition health effect studies might consider using multiple exposure models and a weight of evidence approach when interpreting effect estimates.
AB - This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM2.5) 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 (N = 4559) were identified by ICD codes. Prenatal exposures to PM2.5, elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO3-), and sulfate (SO42-) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during the entire pregnancy, first, second, and third trimester. In single-pollutant models, ASD was associated with pregnancy-average PM2.5, EC/BC, OM, and SO42- exposures from both exposure models, after adjustment for covariates. The direction of effect estimates was consistent for EC/BC and OM and least consistent for NO3-. EC/BC, OM, and SO42- were generally robust to adjustment for other components and for PM2.5. EC/BC and OM effect estimates were generally larger and more consistent in the first and second trimester and SO42- in the third trimester. Future PM2.5 composition health effect studies might consider using multiple exposure models and a weight of evidence approach when interpreting effect estimates.
KW - autism spectrum disorders
KW - exposure models
KW - PM
KW - PM chemical components
KW - prenatal exposures
UR - http://www.scopus.com/inward/record.url?scp=85144893906&partnerID=8YFLogxK
U2 - 10.1021/acs.est.2c05197
DO - 10.1021/acs.est.2c05197
M3 - Article
C2 - 36548990
AN - SCOPUS:85144893906
SN - 0013-936X
VL - 57
SP - 405
EP - 414
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 1
ER -