Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Intergenerational Associations Between Maternal Diet and Childhood Adiposity: A Bayesian Regularized Mediation Analysis

Yu-Bo Wang; Cuilin Zhang; Zhen Chen

Statistics in Biosciences · 2021

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Summary

This methodological study presents a regularized two-stage Bayesian mediation analysis framework to disentangle direct and indirect pathways linking maternal dietary exposures during pregnancy to childhood adiposity. Applied to the Danish National Birth Cohort, the approach identified 6 significant maternal risk factors affecting childhood BMI z-score at age 7, demonstrating how statistical regularization can select parsimonious causal pathways to guide prevention programme development.

Regional applicability

The study was conducted in Denmark using the Danish National Birth Cohort, so findings apply directly to Danish populations. The methodological approach is transferable to United Kingdom cohort studies (such as the Avon Longitudinal Study of Parents and Children or UK Biobank), though effect estimates would require independent validation in UK populations with potentially different maternal dietary patterns and healthcare contexts.

Key measures

Childhood body mass index z-score at age 7; maternal dietary factors; direct and indirect effects through multiple mediators

Outcomes reported

The study identified 6 significant maternal risk factors that either directly or indirectly affected childhood body mass index z-score at age 7, using a regularized mediation analysis approach. The analysis examined pathways through which maternal diet during pregnancy influences offspring adiposity.

Theme
Nutrition & health
Subject
Maternal, infant & child nutrition
Study type
Research
Study design
Observational cohort with mediation analysis
Source type
Peer-reviewed study
Status
Published
Geography
Denmark
System type
Human clinical
DOI
10.1007/s12561-021-09305-7
Catalogue ID
NRmucv5zsm-005

Topic tags

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