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Updated: Jul 12, 2025

Long-term Behavioral and Reproductive Consequences of Embryonic Exposure to Low-dose Toxicants
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Published on: March 6, 2018

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BAYESIAN ANALYSIS OF INFANT'S GROWTH DYNAMICS WITH IN UTERO EXPOSURE TO ENVIRONMENTAL TOXICANTS

Jonggyu Baek1, Bin Zhu1, Peter X K Song1

  • 1University of Michigan, University of Massachusetts Medical School and National Institutes of Health.

The Annals of Applied Statistics
|November 1, 2023
PubMed

Insights

Exposure to endocrine disrupting compounds (EDCs) like BPA and phthalates during pregnancy may delay infant growth. This early growth deficiency can impact later health outcomes, affecting puberty and adulthood.

Area of Science:

  • Environmental Health
  • Pediatrics
  • Developmental Biology

Background:

  • Early infancy (0-3 years) is crucial for development.
  • In utero exposure to endocrine disrupting compounds (EDCs) can impact infant development.
  • Bisphenol A (BPA) and phthalates are common EDCs linked to developmental issues.

Purpose of the Study:

  • To investigate the effects of ten ubiquitous EDCs on infant body mass index (BMI) growth dynamics.
  • To model infant growth acceleration and assess EDC-induced growth delays.
  • To understand the impact of early-life EDC exposure on growth trajectories.

Main Methods:

  • Utilized a birth cohort study design.
  • Employed semiparametric stochastic velocity models to analyze growth acceleration.
  • Adopted a Bayesian method with Ornstein-Uhlenbeck process and integrated WHO growth curves.

Main Results:

  • First-trimester exposure to BPA and most phthalates was inversely associated with BMI growth acceleration.
  • EDC exposure resulted in a delayed achievement of the infant BMI peak.
  • Early growth deficiency due to EDCs may have long-term health implications.

Conclusions:

  • Prenatal exposure to specific EDCs can negatively affect infant growth trajectories.
  • Delayed infant BMI peak achievement is linked to early-life EDC exposure.
  • Findings highlight the importance of mitigating EDC exposure for healthy infant development and long-term health.

Keywords:
Body mass indexMarkov chain Monte Carlo (MCMC)Ornstein–Uhlenbeck processprenatal exposuresemiparametric stochastic velocity model

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