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Updated: Feb 26, 2026

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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
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Scaling children's waist circumference for differences in body size.
Alan M Nevill1, Michael J Duncan2, Ian M Lahart1
1Faculty of Education, Health and Wellbeing, University of Wolverhampton, Walsall Campus, Walsall, United Kingdom.
Summary
Scaling waist circumference (WC) in children using allometric modeling reveals age- and sex-specific adiposity patterns. This method improves comparisons between populations and age groups, offering new insights into child growth.
Area of Science:
- Pediatric Endocrinology
- Human Growth and Development
- Body Composition Analysis
Background:
- Waist circumference (WC) and body size increase with age in children.
- Standard WC measurements do not account for height differences, complicating adiposity assessment.
- A need exists to scale WC for height to accurately compare children across different ages and populations.
Purpose of the Study:
- To develop a height-independent body shape index for waist circumference (WC) in children.
- To analyze how WC scales with height across different age groups and sexes.
- To compare adiposity status between culturally distinct populations of children.
Main Methods:
- Utilized the allometric power law (WC = a.HT^b) on English and Colombian child samples.
- Employed log-transformation and multiple regression/ANCOVA to estimate height exponents for WC.
- Controlled for age, sex, and population-specific differences in the allometric model.
Main Results:
- The height exponent for WC varied with age, approximating 1 in pre-pubertal children and declining to 0.5 in older children/adults.
- Height-adjusted WC in UK children showed a U-shaped curve with age, with a minimum at peak height velocity.
- Scaling WC for height significantly reduced the observed adiposity gap between UK and Colombian children.
Conclusions:
- Allometric modeling of WC provides novel insights into children's growth and adiposity development.
- Height-adjusted WC reveals patterns potentially missed by standard measurements.
- This approach enhances the ability to compare adiposity across diverse pediatric populations.
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