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Human linear growth trajectory defined

Anderson Mon1, Michael Cabana, Bonnie Halpern-Felsher

  • 1Department of Radiology and Biomedical Imaging, University of California, San Francisco, California; NCIRE, Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, California; Department of Biomedical Engineering, All Nations University College, Koforidua, Ghana.

American Journal of Human Biology : the Official Journal of the Human Biology Council
|August 13, 2013
PubMed

Insights

A simple mathematical formula accurately predicts individual child linear growth, showing high precision across diverse demographics. This tool offers a valuable method for tracking human growth patterns.

Area of Science:

  • Pediatrics
  • Human Growth and Development
  • Biomathematics

Background:

  • Accurate prediction of individual child linear growth is crucial for monitoring development.
  • Existing methods may be complex or lack precision for individual trajectories.
  • A simple, precise growth prediction model is needed.

Purpose of the Study:

  • To evaluate a straightforward mathematical formula for predicting individual child linear growth.
  • The formula models height as a square root function of age, utilizing two constants (k and C).

Main Methods:

  • Utilized retrospective serial height measurements from 137 healthy children.
  • Determined formula constants (k and C) using initial measurements and time points for each child.
  • Applied the formula with determined constants to predict individual growth trajectories.

Main Results:

  • The study included a diverse cohort: 20% Hispanic, 23% African-American, 27% Caucasian, and 30% Asian.
  • The formula successfully predicted growth trajectories for 136 out of 137 children.
  • Observed minimal discrepancies between predicted and measured growth, with a mean difference of 0.8 cm.

Conclusions:

  • The proposed formula is user-friendly and predicts individual child growth with high accuracy.
  • Prediction accuracy is maintained irrespective of child's gender or ethnicity.
  • The formula presents a valuable tool for human growth studies and potentially for other species' growth analysis.
Abstract

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