The Uterine Environment and Childhood Obesity Risk: Mechanisms and Predictions

Curr Nutr Rep. 2023 Sep;12(3):416-425. doi: 10.1007/s13668-023-00482-z. Epub 2023 Jun 20.

Abstract

Purpose of review: Childhood obesity is a growing health problem in many populations, hence the urgent need to unravel the underlying mechanisms. Some evidence suggests that exposure to suboptimal intrauterine environments can program foetal metabolic health, with adverse consequences in later life, including susceptibility to childhood obesity.

Findings: Factors such as high and low foetal birth weight, excessive gestational-weight-gain, maternal stress and smoking are all associated with increased risk of childhood obesity in observational studies. Animal models, where both genetic background and the postnatal environment can be carefully controlled, suggest that several different mechanisms, including epigenetic changes, dysregulation of adipose tissue development and programming of appetite, may be key drivers of developmental programming of childhood obesity. However, the influence of genetics and the post-natal environment are much more difficult to disentangle as independent effects in human studies, which are also complicated by low follow-up rates. Suboptimal intrauterine environments interact with maternal and foetal genetics and with the postnatal environment to contribute to the risk of childhood obesity. Maternal metabolic challenges, for example obesity and insulin resistance, contribute to the risk of foetal overgrowth and subsequent adiposity in childhood. To protect the long-term health of populations, research focusing on effective means of identifying and intervening in the transgenerational cycle of childhood obesity is required.

Keywords: Childhood; Developmental programming; Interventions; Intrauterine environment; Maternal; Obesity.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adiposity / genetics
  • Animals
  • Birth Weight
  • Child
  • Humans
  • Pediatric Obesity* / epidemiology
  • Weight Gain