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The Associations of Maternal Health Characteristics, Newborn Metabolite Concentrations, and Child Body Mass Index among US Children in the ECHO Program

Authors :
Brittney M. Snyder
Tebeb Gebretsadik
Nina B. Rohrig
Pingsheng Wu
William D. Dupont
Dana M. Dabelea
Rebecca C. Fry
Susan V. Lynch
Cindy T. McEvoy
Nigel S. Paneth
Kelli K. Ryckman
James E. Gern
Tina V. Hartert
on behalf of Program Collaborators for Environmental Influences on Child Health Outcomes
Source :
Metabolites, Vol 13, Iss 4, p 510 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

We aimed first to assess associations between maternal health characteristics and newborn metabolite concentrations and second to assess associations between metabolites associated with maternal health characteristics and child body mass index (BMI). This study included 3492 infants enrolled in three birth cohorts with linked newborn screening metabolic data. Maternal health characteristics were ascertained from questionnaires, birth certificates, and medical records. Child BMI was ascertained from medical records and study visits. We used multivariate analysis of variance, followed by multivariable linear/proportional odds regression, to determine maternal health characteristic-newborn metabolite associations. Significant associations were found in discovery and replication cohorts of higher pre-pregnancy BMI with increased C0 and higher maternal age at delivery with increased C2 (C0: discovery: aβ 0.05 [95% CI 0.03, 0.07]; replication: aβ 0.04 [95% CI 0.006, 0.06]; C2: discovery: aβ 0.04 [95% CI 0.003, 0.08]; replication: aβ 0.04 [95% CI 0.02, 0.07]). Social Vulnerability Index, insurance, and residence were also associated with metabolite concentrations in a discovery cohort. Associations between metabolites associated with maternal health characteristics and child BMI were modified from 1–3 years (interaction: p < 0.05). These findings may provide insights on potential biologic pathways through which maternal health characteristics may impact fetal metabolic programming and child growth patterns.

Details

Language :
English
ISSN :
13040510 and 22181989
Volume :
13
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Metabolites
Publication Type :
Academic Journal
Accession number :
edsdoj.015b63a5b89049c0ab777dedee42505a
Document Type :
article
Full Text :
https://doi.org/10.3390/metabo13040510