Prenatal air pollution and children’s autism traits score: Examination of joint associations with maternal intake of vitamin D, methyl donors, and polyunsaturated fatty acids using mixture methods
Megan G. Bragg, Irena Gorski-Steiner, Ashley Song, Jorge E. Chavarro, Jaime E. Hart, Loni P. Tabb, Marc G. Weisskopf, Heather Volk and Kristen Lyall
Background: Maternal nutrient intake may moderate associations between environmental exposures and children’s neurodevelopmental outcomes, but few studies have assessed joint effects. We aimed to evaluate whether prenatal nutrient intake influences the association between air pollutants and autism-related trait scores. Methods: We included 126 participants from the EARLI (Early Autism Risk Longitudinal Investigation, 2009–2012) cohort, which followed US pregnant mothers who previously had a child with autism. Bayesian kernel machine regression and traditional regression models were used to examine joint associations of prenatal nutrient intake (vitamins D, B12, and B6; folate, choline, and betaine; and total omega 3 and 6 polyunsaturated fatty acids, reported via food frequency questionnaire), air pollutant exposure (particulate matter <2.5 μm [PM 2.5 ], nitrogen dioxide [NO 2 ], and ozone [O 3 ], estimated at the address level), and children’s autism-related traits (measured by the Social Responsiveness Scale [SRS] at 36 months). Results: Most participants had nutrient intakes and air pollutant exposures that met US standards. Bayesian kernel machine regression mixture models and traditional regression models provided little evidence of individual or joint associations of nutrients and air pollutants with SRS scores or of an association between the overall mixture and SRS scores. Conclusion: In this cohort with a high familial likelihood of autism, we did not observe evidence of joint associations between air pollution exposures and nutrient intake with autism-related traits. Future work should examine the use of these methods in larger, more diverse samples, as our results may have been influenced by familial liability and/or relatively high nutrient intakes and low air pollutant exposures.
Prenatal air pollution and children’s autism traits score: Examination of joint associations with maternal intake of vitamin D, methyl donors, and polyunsaturated fatty acids using mixture methods
Creators
Megan G. Bragg - Drexel University
Irena Gorski-Steiner - Johns Hopkins University
Ashley Song - Johns Hopkins University
Jorge E. Chavarro - Harvard University
Jaime E. Hart - Brigham and Women's Hospital
Loni P. Tabb - Drexel University
Marc G. Weisskopf - Harvard University
Heather Volk - Johns Hopkins University
Kristen Lyall - Drexel University
Publication Details
Environmental epidemiology, v 8(4), e316
Publisher
Lippincott
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative; Epidemiology and Biostatistics; A.J. Drexel Autism Institute
Web of Science ID
WOS:001252136500001
Scopus ID
2-s2.0-85196752158
Other Identifier
991021889607704721
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Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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