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Synthetic growth reference charts.

Michael Hermanussen1, Karol Stec2, Christian Aßmann3

  • 1Aschauhof, 24340, Altenhof, Germany.

American Journal of Human Biology : the Official Journal of the Human Biology Council
|July 2, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to create synthetic growth charts for height, weight, and body mass index (BMI). This technique helps generate reliable growth references for populations lacking local data.

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Area of Science:

  • Human Growth and Development
  • Biostatistics
  • Anthropometry

Background:

  • Growth reference charts are essential for monitoring child development.
  • Existing charts may not be representative of all populations.
  • Analyzing between-population variance in growth parameters is crucial.

Purpose of the Study:

  • To reanalyze population variance in height, weight, and BMI.
  • To develop a universal method for creating synthetic growth reference charts.
  • To provide a tool for populations without existing growth data.

Main Methods:

  • Utilized Principal Components Analysis on 196 female and 197 male growth studies (since 1831).
  • Extracted common factors for height, weight, and BMI.
  • Employed a Bayesian approach to combine single study data with common factors for complete charts.

Main Results:

  • Developed a technique for generating synthetic growth reference charts.
  • The method produces LMS (Lambda, Mu, Sigma) values for height, weight, and BMI.
  • Applicable from birth to maturity using limited population measurements.

Conclusions:

  • Synthetic growth charts can be generated using data from extensive reference studies.
  • This approach is suitable for populations needing autochthonous references.
  • Facilitates global standardization of growth monitoring.