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International definitions of overweight and obesity for children: a lasting solution?

S Chinn1, R J Rona

  • 1Department of Public Health Sciences, King's College London, 5th Floor Capital House, 42 Weston Street, London SE1 3QD, UK. sue.chinn@kcl.ac.uk

Insights

International child obesity definitions may overestimate prevalence in the UK. New UK-specific body mass index (BMI) cut-offs are compatible with UK data and better reflect trends in overweight children.

Area of Science:

  • Pediatric Endocrinology
  • Public Health
  • Biostatistics

Background:

  • Established international definitions for childhood overweight and obesity (2000) were based on averaged data from six countries.
  • The applicability of these international definitions to UK children remains unclear, potentially lacking advantages over UK-specific data.

Purpose of the Study:

  • To compare international child overweight and obesity cut-off points with alternative definitions derived from UK 1990 reference data.
  • To assess the compatibility and accuracy of international versus UK-based BMI classifications for British children.

Main Methods:

  • Two cross-sectional surveys in 1984 and 1994 included approximately 6000 white children (aged 4-11) from 22 English primary school areas.
  • Height and weight were measured to calculate body mass index (BMI), with children classified using both international and proposed UK cut-off points.

Main Results:

  • International cut-off points exaggerated gender differences in overweight/obesity prevalence by up to 7% compared to UK data and were incompatible with UK BMI reference charts.
  • Using proposed UK cut-off points, overweight prevalence in boys increased from 10.2% (1984) to 13.8% (1994), contrasting with 5.4%-9.0% under the international definition.

Conclusions:

  • International definitions for childhood overweight and obesity have limitations due to averaged multi-country data and reference age selection.
  • The presented UK cut-off points are compatible with current UK reference curves and offer a more accurate assessment for the UK population.
Abstract

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