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Weight-for-height indices as measures of adiposity in children

Insights

This study found no single weight-for-height index effectively measures childhood adiposity. Optimized indices showed minimal improvement over the standard Quetelet index for assessing body fat in children.

Area of Science:

  • Pediatric endocrinology
  • Human biology
  • Nutritional science

Background:

  • Accurate assessment of adiposity in children is crucial for monitoring growth and health.
  • Existing weight-for-height indices are widely used but their effectiveness in capturing adiposity can vary.
  • The triceps skinfold thickness is a common anthropometric measure of subcutaneous fat.

Purpose of the Study:

  • To evaluate a novel weight-for-height index (q = w/h^lambda) optimized for correlating with triceps skinfold thickness.
  • To determine if this optimized index provides a superior indirect measure of adiposity in children compared to existing indices.
  • To explore the generalizability of optimized weight-for-height indices.

Main Methods:

  • Utilized a sample of 1668 children aged 5-12 years.
  • Employed an iterative procedure to estimate the optimal parameter lambda for the index q = w/h^lambda within specific age and sex categories.
  • Calculated the correlation between the optimized index (q) and triceps skinfold thickness, comparing it to the standard Quetelet index (w/h^2).

Main Results:

  • The optimal parameter lambda did not exhibit a simple variation across different age and sex categories.
  • The correlation between the optimized index (q) and triceps skinfold thickness was only marginally better than that of the standard Quetelet index (w/h^2).
  • A more general two-parameter index (w^alpha/h^beta) demonstrated nearly identical properties to the optimized single-parameter index.

Conclusions:

  • No single weight-for-height index, including the optimized q = w/h^lambda, is generally useful for indirectly measuring adiposity in children.
  • The standard Quetelet index (w/h^2) performs comparably to more complex, optimized indices for this purpose in the studied age group.
  • Further research may be needed to identify more effective anthropometric measures for childhood adiposity.

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