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Synthetic growth reference charts.

M Hermanussen1, J Burmeister

  • 1Aschauhof, Altenhof, Germany.

Acta Paediatrica (Oslo, Norway : 1992)
|September 30, 1999
PubMed
Summary
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This study found a consistent pattern in human height growth, allowing for the creation of updated growth charts using mathematical models. These synthetic growth charts can be easily updated and applied globally.

Area of Science:

  • Human Growth and Development
  • Biostatistics and Epidemiology
  • Pediatric Endocrinology

Background:

  • Existing height standards (growth charts) require frequent updates.
  • Developing new growth charts necessitates extensive data collection.
  • Cross-sectional incremental patterns of body stature are not fully utilized for updating standards.

Purpose of the Study:

  • To analyze the cross-sectional incremental pattern of body stature.
  • To evaluate the feasibility of generating updated height standards without new measurements.
  • To establish a method for creating synthetic growth reference charts.

Main Methods:

  • Meta-analysis of 50 European and US American growth studies for birth length.
  • Meta-analysis of 14 studies for early childhood growth (birth to 6 years).

Related Experiment Videos

  • Meta-analysis of 40 male and 51 female studies for late childhood growth (6 years to adulthood), utilizing over 24 million measurements from diverse cohorts.

    • Main Results:

    • A rigid, age-specific linear regression pattern was identified for body stature increment from birth to adulthood.
    • Strong correlations were found between male and female stature at various key ages (birth, 6 years, adulthood).
    • The developmental pace showed significant relatedness between sexes.

    Conclusions:

    • Age-specific linear regression coefficients can be used to synthetically generate height standards (synthetic growth reference charts).
    • Synthetic growth charts offer a practical solution for updating current charts with minimal effort.
    • This method is valuable for creating growth standards for populations lacking autochthonous data.