Examining Prenatal Dietary Factors in Association with Child Autism-Related Traits Using a Bayesian Mixture Approach: Results from 2 United States Cohorts.
Bayesian mixture modeling
EARLI
NHSII
Social Responsiveness Scale
autism
diet
Journal
Current developments in nutrition
ISSN: 2475-2991
Titre abrégé: Curr Dev Nutr
Pays: United States
ID NLM: 101717957
Informations de publication
Date de publication:
Aug 2023
Aug 2023
Historique:
received:
18
05
2023
revised:
19
07
2023
accepted:
20
07
2023
medline:
21
8
2023
pubmed:
21
8
2023
entrez:
21
8
2023
Statut:
epublish
Résumé
Prior work has suggested relationships between prenatal intake of certain nutrients and autism. We examined a broad set of prenatal nutrients and foods using a Bayesian modeling approach. Participants were drawn from the Early Autism Risks Longitudinal Investigation ( In adjusted analyses, the overall mixture effects of nutrients in Early Autism Risks Longitudinal Investigation and foods in both cohorts on SRS scores were not observed, though there was some suggestion of decreasing SRS scores with increasing overall nutrient mixture in NHSII. No associations were observed with folate within the context of this mixture, but holding other nutrients fixed, n-6 PUFAs were associated with lower SRS scores in NHSII. In both cohorts, lower SRS scores were observed with higher intake of some groupings of vegetables, though for differing types of vegetables across cohorts, and some vegetable groups were associated with higher SRS scores in NHSII. Our work extends prior research and suggests the need to further consider prenatal dietary factors from a combined effects perspective. In addition, findings here point to potential differences in nutrient associations based on a family history of autism, which suggests the need to consider gene interactions in future work.
Sections du résumé
Background
UNASSIGNED
Prior work has suggested relationships between prenatal intake of certain nutrients and autism.
Objectives
UNASSIGNED
We examined a broad set of prenatal nutrients and foods using a Bayesian modeling approach.
Methods
UNASSIGNED
Participants were drawn from the Early Autism Risks Longitudinal Investigation (
Results
UNASSIGNED
In adjusted analyses, the overall mixture effects of nutrients in Early Autism Risks Longitudinal Investigation and foods in both cohorts on SRS scores were not observed, though there was some suggestion of decreasing SRS scores with increasing overall nutrient mixture in NHSII. No associations were observed with folate within the context of this mixture, but holding other nutrients fixed, n-6 PUFAs were associated with lower SRS scores in NHSII. In both cohorts, lower SRS scores were observed with higher intake of some groupings of vegetables, though for differing types of vegetables across cohorts, and some vegetable groups were associated with higher SRS scores in NHSII.
Conclusions
UNASSIGNED
Our work extends prior research and suggests the need to further consider prenatal dietary factors from a combined effects perspective. In addition, findings here point to potential differences in nutrient associations based on a family history of autism, which suggests the need to consider gene interactions in future work.
Identifiants
pubmed: 37600935
doi: 10.1016/j.cdnut.2023.101978
pii: S2475-2991(23)24833-7
pmc: PMC10432916
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101978Subventions
Organisme : NIEHS NIH HHS
ID : R24 ES028533
Pays : United States
Organisme : NIEHS NIH HHS
ID : U24 ES028533
Pays : United States
Informations de copyright
© 2023 The Authors.
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