Association between Dietary Intake of One-Carbon Metabolism Nutrients in the Year before Pregnancy and Birth Anthropometry.
Marion LecorguilléSandrine LioretBlandine de Lauzon-GuillainErwan de GavelleAnne ForhanFrançois MariottiMarie-Aline CharlesBarbara HeudePublished in: Nutrients (2020)
Few studies have evaluated the role of methylation-pathway nutrients involved in fetal growth (B vitamins, choline, betaine, and methionine). These one-carbon metabolism (OCM) nutrients are essential for DNA methylation in the periconception period. We aimed to characterize dietary patterns of 1638 women from the EDEN mother-child cohort in the year before pregnancy according to the contribution of OCM nutrients and to study the association of such patterns with anthropometric measurements at birth. Dietary intake before pregnancy was assessed by using a semi-quantitative food frequency questionnaire. We used the reduced-rank regression (RRR) method to identify dietary patterns using OCM nutrients as intermediate variables. We ran linear regressions models to study the association between dietary patterns scores and birth weight, length, head circumference, gestational age, and sex-specific z-scores, adjusting for maternal characteristics and vitamin supplementation before and during pregnancy. Three patterns, "varied and balanced", "vegetarian tendency", and "bread and starchy food" were identified, explaining 58% of the variability in OCM nutrient intake. Higher scores on the "varied and balanced" pattern tended to be associated with higher birth length and weight. In mainly well-nourished young French women, we did not find evidence that variability in OCM nutrient intake has major effects on fetal growth.
Keyphrases
- gestational age
- birth weight
- preterm birth
- pregnancy outcomes
- weight gain
- heavy metals
- dna methylation
- body mass index
- pregnant women
- polycystic ovary syndrome
- genome wide
- gene expression
- physical activity
- type diabetes
- body composition
- high resolution
- metabolic syndrome
- cross sectional
- mental health
- patient reported
- cervical cancer screening
- breast cancer risk
- neural network