Childhood obesity: different definition criteria, different prevalence rate

A Luciano1, F Bressan, M Bolognani

  • 1University Chair of Pediatrics, Division of Pediatrics, Verona City Hospital, Verona, Italy. antonio.luciano@univr.it

Minerva Pediatrica
|December 12, 2001
PubMed

Insights

Childhood obesity prevalence varies significantly based on the growth charts and indicators used. Standardizing these factors is crucial for accurate epidemiological studies on pediatric obesity.

Area of Science:

  • Pediatric Endocrinology
  • Public Health
  • Biostatistics

Background:

  • Childhood obesity is a significant public health concern.
  • Accurate prevalence data is essential for intervention strategies.
  • Existing methods for determining childhood obesity prevalence lack standardization.

Purpose of the Study:

  • To evaluate how different reference growth curves influence childhood obesity prevalence estimates.
  • To compare the commonly used overweight (OW%) and body mass index (BMI) centile indicators.
  • To assess the impact of indicator choice on obesity prevalence in children aged 3-17 years.

Main Methods:

  • Cross-sectional study design.
  • Inclusion of 40,068 children (19,892 males, 20,176 females) aged 3 to 17 years.
  • Comparison of obesity prevalence using Tanner-Whitehouse curves versus custom-derived curves and BMI 90th percentile cut-off versus OW%.

Main Results:

  • Prevalence rates differed based on the obesity indicator and reference curves employed.
  • Tanner-Whitehouse curves showed peak prevalence up to 18% in specific age groups.
  • Custom curves and BMI 90th percentile yielded varying prevalence rates, with greater discrepancies in younger children (3-8 years).

Conclusions:

  • The choice of reference curves and obesity indicators significantly impacts childhood obesity prevalence findings.
  • Epidemiological studies should aim for consistent indicators, cut-offs, and population-specific, recent reference curves.
  • Standardization is recommended for reliable and comparable data on pediatric obesity.
Abstract

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