Pre-, Perinatal, and Parental Predictors of Body Mass Index Trajectory Milestones

Izzuddin M Aris1, Sheryl L Rifas-Shiman2, Ling-Jun Li3

  • 1Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore.

Insights

Prenatal and parental factors influence infant body mass index (BMI) trajectories. Identifying these predictors can inform early interventions to prevent childhood obesity.

Area of Science:

  • Pediatrics
  • Public Health
  • Human Growth and Development

Background:

  • Childhood obesity is a growing public health concern.
  • Understanding early life factors influencing body mass index (BMI) trajectories is crucial for prevention.
  • Project Viva is a longitudinal cohort study investigating child health outcomes.

Purpose of the Study:

  • To examine associations between pre-, perinatal, and parental factors and the timing and magnitude of body mass index (BMI) peak in infancy and rebound in early childhood.
  • To identify modifiable predictors of BMI trajectories in children.
  • To inform potential early-life interventions for obesity prevention.

Main Methods:

  • Individual BMI trajectories were modeled using mixed-effects models with natural cubic splines in 1681 children from birth to mid-childhood.
  • Age and magnitude at BMI peak (infancy) and rebound (early childhood) were estimated.
  • Stepwise multivariable regression identified predictors of these BMI trajectory milestones in 1354 children.

Main Results:

  • Mean age at BMI peak was 8.4 months and at rebound was 59.8 months.
  • Girls exhibited later peak age, earlier rebound age, and lower peak/rebound magnitudes compared to boys.
  • Maternal hyperglycemia and pre-eclampsia were linked to later BMI peak; impaired glucose tolerance to lower peak magnitude. Maternal weight gain, smoking, no breastfeeding, parental obesity, and lower maternal education predicted greater BMI at rebound.

Conclusions:

  • Modifiable prenatal and parental factors are associated with BMI peak and rebound.
  • Early-life interventions targeting identified factors may influence BMI trajectories.
  • These interventions hold potential for preventing later-onset obesity.
Abstract

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