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Related Experiment Videos

Synthetic standards for body weight.

M Hermanussen1, C Meigen

  • 1Universitätskinderklinik Leipzig, Germany. hermanussen.aschauhof@t-online.de

Homo : Internationale Zeitschrift Fur Die Vergleichende Forschung Am Menschen
|January 27, 2004
PubMed
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This study introduces synthetic growth references for body weight and stature, crucial for updating outdated growth charts. These references aid in monitoring child development and addressing obesity trends globally.

Area of Science:

  • Pediatrics
  • Anthropometry
  • Public Health

Background:

  • Growth charts are essential for tracking child development but require regular updates due to secular changes.
  • The rising prevalence of obesity necessitates improved methods for monitoring body weight and body mass index (BMI).

Purpose of the Study:

  • To develop synthetic growth references for body weight and stature to facilitate the updating of existing growth charts.
  • To provide a method for generating growth references for populations lacking autochthonous (native) growth standards.

Main Methods:

  • A meta-analysis of 240 historic and modern growth studies (1831-2001) encompassing male and female growth data from diverse global populations.
  • Analysis of body weight distribution skewness using raw data from five longitudinal growth studies.

Related Experiment Videos

  • Development of linear regression coefficients to enable the generation of synthetic growth references.

    • Main Results:

    • Body stature and weight are closely interrelated within populations, with strong correlations observed across different age groups.
    • Synthetic reference charts for stature and weight can be generated using linear regression coefficients derived from the meta-analysis.
    • These synthetic references can be used to revise current growth charts efficiently and create standards for data-scarce populations.

    Conclusions:

    • Synthetic growth references offer a viable and efficient method for updating and creating growth charts for stature and weight.
    • This approach is particularly valuable for addressing the need for updated growth monitoring tools in the context of changing population parameters and rising obesity rates.