Evidence map›Paper›PMID 40107454›Full record

ArticleThe Journal of nutrition2025

The Association of Prenatal Dietary Factors with Child Autism Diagnosis and Autism-Related Traits Using a Mixtures Approach: Results from the Environmental Influences on Child Health Outcomes Cohort.

Megan G Bragg, Juliette Rando, Kecia N Carroll, Stephanie M Eick, Margaret R Karagas, Pi-I Lin, Rebecca J Schmidt, Kristen Lyall, ECHO Cohort Consortium

Abstract read
In one paragraph

Article in The Journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Megan G BraggAJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States.
Juliette RandoAJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States.
Kecia N CarrollThe Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Stephanie M EickRollins School of Public Health, Emory University, Atlanta, GA, United States.
Margaret R KaragasGeisel School of Medicine, Dartmouth College, Hanover, NH, United States.
Pi-I LinDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
Rebecca J SchmidtDepartment of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, United States.
Kristen LyallAJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States. Electronic address: kld98@drexel.edu.
ECHO Cohort Consortium

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Linda S Adair, Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
Wisconsin Infant Study Cohort (WISC) ECHO Pediatric Follow-UpUH3OD023282 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern · 2018 to 2026
$64.8M
The NYU Children’s Health & Environment Study: an ECHO CohortUH3OD023305 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Akhgar Ghassabian, Leonardo Trasande · 2018 to 2026
$59.5M
Mount Sinai ECHO site for Perinatal Environment and Development StudiesUH3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2018 to 2026
$54.1M
A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort StudyUH3OD023275 · OD · DARTMOUTH COLLEGE · PI MARGARET Rita KARAGAS, Juliette Madan · 2018 to 2026
$44.3M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
Prenatal and Early Childhood Pathways To Health:  An Integrated Model of Chemical and Social Exposures, Biological Mechanisms, and Sex-Specific Effects on Neurodevelopment and Respiratory OutcomesUH3OD023271 · OD · UNIVERSITY OF WASHINGTON · PI BUSH, NICOLE RENEE, KARR, CATHERINE J · 2018 to 2022
$37.3M
ECHO Laboratory Core at Vanderbilt for Integrated Sample Biobanking and ProcessingU24OD035523 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Suman Ranjan Das, NATASHA Bassam HALASA · 2023 to 2026
$32.8M
Environmental Influences on Childhood Outcomes in the Northern Plains Safe Passage Study CohortsUH3OD023279 · OD · AVERA MCKENNAN · PI Amy J Elliott, Christine W Hockett · 2018 to 2026
$31.7M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
NICHD NIH HHS P01 HD035468NICHD NIH HHS P50 HD103538NIEHS NIH HHS P30 ES007033NIEHS NIH HHS U24 ES026539NIEHS NIH HHS U2C ES026533NIEHS NIH HHS U2C ES026542NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIEHS NIH HHS U2C ES030851NIEHS NIH HHS U2C ES030857NIEHS NIH HHS U2C ES030859NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U24 OD035523NIH HHS U2C OD023375NIH HHS UG3 OD023244NIH HHS UG3 OD023248NIH HHS UG3 OD023249NIH HHS UG3 OD023251NIH HHS UG3 OD023253NIH HHS UG3 OD023272NIH HHS UG3 OD023275NIH HHS UG3 OD023279NIH HHS UG3 OD023282NIH HHS UG3 OD023285NIH HHS UG3 OD023288NIH HHS UG3 OD023289NIH HHS UG3 OD023290NIH HHS UG3 OD023305NIH HHS UG3 OD023313NIH HHS UG3 OD023337NIH HHS UG3 OD023342NIH HHS UG3 OD023344NIH HHS UG3 OD023348NIH HHS UG3 OD023349NIH HHS UG3 OD023365NIH HHS UG3 OD023389NIH HHS UG3 OD035508NIH HHS UG3 OD035509NIH HHS UG3 OD035513NIH HHS UG3 OD035516NIH HHS UG3 OD035517NIH HHS UG3 OD035518NIH HHS UG3 OD035519NIH HHS UG3 OD035521NIH HHS UG3 OD035526NIH HHS UG3 OD035527NIH HHS UG3 OD035528NIH HHS UG3 OD035529NIH HHS UG3 OD035532NIH HHS UG3 OD035533NIH HHS UG3 OD035536NIH HHS UG3 OD035537NIH HHS UG3 OD035540NIH HHS UG3 OD035542NIH HHS UG3 OD035543NIH HHS UG3 OD035544NIH HHS UG3 OD035546NIH HHS UG3 OD035550NIH HHS UH3 OD023244NIH HHS UH3 OD023248NIH HHS UH3 OD023249NIH HHS UH3 OD023251NIH HHS UH3 OD023253NIH HHS UH3 OD023268NIH HHS UH3 OD023271NIH HHS UH3 OD023272NIH HHS UH3 OD023275NIH HHS UH3 OD023279NIH HHS UH3 OD023282NIH HHS UH3 OD023285NIH HHS UH3 OD023286NIH HHS UH3 OD023287NIH HHS UH3 OD023288NIH HHS UH3 OD023289NIH HHS UH3 OD023290NIH HHS UH3 OD023305NIH HHS UH3 OD023313NIH HHS UH3 OD023318NIH HHS UH3 OD023320NIH HHS UH3 OD023328NIH HHS UH3 OD023332NIH HHS UH3 OD023337NIH HHS UH3 OD023342NIH HHS UH3 OD023344NIH HHS UH3 OD023347NIH HHS UH3 OD023348NIH HHS UH3 OD023349NIH HHS UH3 OD023365NIH HHS UH3 OD023389NIH HHS UH3 OD035516NIH HHS UH3 OD035536NIH HHS UH3 OD035550NIMH NIH HHS R01 MH059630
6 · The paper itself

Abstract

backgroundPrevious research on the role of maternal diet in relation to autism has focused on examining individual nutrient associations. Few studies have examined associations with multiple nutrients using mixtures approaches, which may better reflect true exposure scenarios.

objectivesThis study aims to examine associations of nutrient mixtures with children's autism diagnosis and trait scores within a large, diverse population.

methodsParticipants were drawn from the United States Environmental influences on Child Health Outcomes (ECHO) consortium. Maternal prenatal diet was reported via validated food frequency questionnaires. Children's autism-related traits were measured using the Social Responsiveness Scale (SRS) and autism diagnoses were from parent reports of physician diagnosis. Bayesian kernel machine regression was used to examine the overall mixture effect and interactions between a set of 5 primary nutrients (folate, vitamin D, omega 3 and omega 6 fatty acids, and iron), adjusted for potential confounders, in relationship to child outcomes. Secondary analyses were conducted in a subset of cohorts with an expanded set of 14 nutrients. Traditional linear and logistic regression models were also analyzed for comparison of results to mixture models.

resultsA total of 2614 participants drawn from 7 ECHO cohorts were included in primary analysis. Mixture analyses suggested that increasing the overall 5-nutrient mixture was associated with lower SRS scores. Individual U-shaped associations and bivariate interactions between folate and omega 3 fatty acids were suggested. In the subset included in the secondary analyses of the 14-nutrient mixture, a modest inverse trend remained, but individual nutrient associations were altered, with vitamin D demonstrating higher relative importance than other nutrients. Strong associations with autism diagnosis were not observed.

conclusionsIn this large sample, we found evidence for combined nutrient effects with broader autism-related traits. Because results for individual nutrients were sensitive to mixture components, replication of combined associations between nutrients and autism-related outcomes is needed.

Indexed as

Autistic DisorderDietMaternal Nutritional Physiological PhenomenaAdultChildChild HealthChild, PreschoolCohort StudiesFemaleFolic AcidHumansMalePregnancyUnited StatesFolic Acidautismepidemiologyneurodevelopmentnutrientsstatistical mixtures methods

Identifiers

PMID40107454
PMCPMC12264552

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.