Periconceptional Dietary Patterns and Adverse Pregnancy and Birth Outcomes.

ABSTRACT:

Background

The periconceptional period is a critical window for the origins of adverse pregnancy and birth outcomes, yet little is known about the dietary patterns that promote perinatal health.

Objective

We used machine learning methods to determine the effect of periconceptional dietary patterns on risk of preeclampsia, gestational diabetes, preterm birth, small-for-gestational-age (SGA) birth, and a composite of these outcomes.

Methods

We used data from 8259 participants in the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (8 US medical centers, 2010‒2013). Usual daily periconceptional intake of 82 food groups was estimated from a food frequency questionnaire. We used k-means clustering with a Euclidean distance metric to identify dietary patterns.

SUBMITTER: Bodnar LM 

PROVIDER: S-EPMC10900249 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature