Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis

Céline Druet1, Nicolas Stettler, Stephen Sharp

  • 1MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, UK.

Insights

Infant weight gain strongly predicts childhood obesity. A risk score combining infant weight, birthweight, mother's BMI, and sex can identify at-risk infants early.

Area of Science:

  • Pediatrics
  • Public Health
  • Epidemiology

Background:

  • Childhood obesity is a growing public health concern.
  • Early identification of at-risk infants is crucial for timely intervention.
  • Predictive factors for obesity development require further investigation.

Purpose of the Study:

  • To evaluate the predictive capability of infant weight gain for subsequent obesity.
  • To develop and validate a risk score for identifying infants at risk of childhood obesity.

Main Methods:

  • Meta-analysis of individual-level data from 10 cohort studies (n=47,661).
  • Calculation of weight standard deviation (SD) scores at birth and 1 year using the British 1990 reference.
  • Definition of childhood obesity using International Obesity Task Force criteria.

Main Results:

  • Each +1 unit increase in weight SD score between 0-1 year increased the risk of childhood obesity by twofold (OR=1.97) and adult obesity by 23% (OR=1.23).
  • A risk score incorporating infant weight gain (0-1 year), mother's BMI, birthweight, and sex demonstrated moderate predictive ability for childhood obesity (AUC=77%).
  • A similar risk score for childhood overweight also showed good predictive ability (AUC=76%).

Conclusions:

  • Infant weight gain is a consistent predictor of subsequent obesity.
  • A composite risk score can effectively stratify infants for early obesity risk assessment.
  • Early identification facilitates timely interventions to mitigate obesity development.

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