eScholarship
metadata only
Examining Prenatal Dietary Factors in Association with Child Autism-Related Traits Using a Bayesian Mixture Approach: Results from 2 United States Cohorts
Background: Prior work has suggested relationships between prenatal intake of certain nutrients and autism. Objectives: We examined a broad set of prenatal nutrients and foods using a Bayesian modeling approach. Methods: Participants were drawn from the Early Autism Risks Longitudinal Investigation
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Zinc-AA Supplementation During Pregnancy & Lactation to Assess Effects on ASD Prevalence in Offspring#866763
- Deciphering the Autism Spectrum Disorder Beyond Genomics#1008657
- Different Dietary Practices in Children with Autism Spectrum Disorder#886452
- A Pilot Treatment Study of Insulin-Like Growth Factor-1 (IGF-1) in Autism Spectrum Disorder#828114
- ASC-emotion: A privacy-aware dataset for analysing emotional dysregulation and engagement in children with Autism().#440921
Record · ID 1174796
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive