A Practical Screening Tool to Predict Early Childhood Obesity Risk: Examining a Birth Cohort

James Gannon1,2, Allison J Pollock1, David B Allen1

  • 1University of Wisconsin-Madison, Madison, WI, USA.

Clinical Pediatrics
|November 5, 2020
PubMed

Insights

Identifying early life risk factors can predict childhood obesity. Key predictors include maternal obesity, maternal diabetes, large for gestational age, or short breastfeeding duration, enabling early intervention.

Area of Science:

  • Pediatrics
  • Public Health
  • Epidemiology

Background:

  • Childhood obesity at 5 years increases lifelong obesity risk.
  • Early identification of obesity risks in infancy is clinically valuable.
  • Risk factors for iron deficiency and obesity overlap, informing cohort selection.

Purpose of the Study:

  • To investigate predictors of obesity risk in early life.
  • To develop a tool for early obesity risk prediction.
  • To leverage a healthy birth cohort for identifying obesity risk factors.

Main Methods:

  • Prospective collection of a healthy birth cohort.
  • Defined childhood obesity as age- and sex-specific body mass index Z-score (zBMI) >2SD at 5 years.
  • Summed identified obesity risk factors for each child.

Main Results:

  • Identified 4 key obesity risk factors: maternal obesity, maternal diabetes, large for gestational age, and breastfeeding <6 months.
  • Childhood obesity was predicted by ≥3 total risks (P < .033).
  • Childhood obesity was significantly predicted by any key risk (P < .002) or summing key risks (P < .0001).

Conclusions:

  • Summing early life risk factors can predict childhood obesity.
  • This strategy may aid preemptive counseling in clinical practice.
  • Early identification of at-risk children allows for timely interventions.