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Comparison of weight and height relations in boys from 4 countries

M F Franklin1

  • 1Undertaken on behalf of the International Obesity Task Force working group on childhood obesity.

Insights

This study analyzed children's height and weight data to assess growth differences. The findings indicate that Body Mass Index (BMI) is a suitable adiposity indicator for younger and older children but requires caution for adolescents aged 8-16.

Area of Science:

  • Pediatric growth and development
  • Anthropometry
  • Nutritional assessment

Background:

  • Childhood growth patterns vary globally.
  • Accurate anthropometric indices are crucial for assessing child health.
  • The Body Mass Index (BMI) is commonly used but its suitability across different ages needs evaluation.

Purpose of the Study:

  • To investigate international differences in children's growth patterns.
  • To evaluate the optimal power (p) in weight/height^p indices for assessing child adiposity.
  • To determine the age-appropriateness of BMI (weight/height^2) for childhood adiposity assessment.

Main Methods:

  • Analysis of height and weight data from children in the US, UK, Japan, and Singapore.
  • Calculation of Benn indices (weight/height^p) with varying 'p' values.
  • Correlation analysis between Benn indices and height, and comparison with skinfold thickness data.

Main Results:

  • The optimal 'p' value in weight/height^p indices varied with age, generally increasing from age 6 to 10 and decreasing by age 18.
  • For most ages, the optimal 'p' value exceeded 2.0, suggesting BMI may overestimate adiposity in taller children.
  • BMI showed acceptable correlation with adiposity indicators for children aged 6-7 and 17-18, but less so for ages 8-16.

Conclusions:

  • The exponent 'p' in weight-for-height indices is age-dependent.
  • BMI is a potentially flawed indicator of adiposity in children aged 8-16 due to its fixed exponent of 2.
  • Further research into age-specific anthropometric indices is recommended for accurate childhood adiposity assessment.

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