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Related Experiment Video

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Assessment of Child Anthropometry in a Large Epidemiologic Study

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Simple method for developing percentile growth curves for height and weight.

R Ward¹, J Schlenker, G S Anderson

¹School of Kinesiology, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada.

American Journal of Physical Anthropology

|October 12, 2001

Summary

Method I by Preece and Baine offers an easy way to generate smoothed child growth curves for height and weight. This method performs as well as or better than the least-squares-cubic-spline approach, using accessible software.

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Area of Science:

Pediatrics
Biostatistics
Human Biology

Background:

Accurate growth curves are essential for monitoring child development.
Existing methods for generating growth curves, like the least-squares-cubic-spline, can be complex.
The National Center for Health Statistics (NCHS) provides crucial growth data.

Purpose of the Study:

To evaluate the Preece and Baine Method I for generating smoothed height and weight growth curves.
To compare the efficacy of Method I against the least-squares-cubic-spline method.
To demonstrate the practical application of Method I using common desktop software.

Main Methods:

Utilized the Preece and Baine Method I for curve fitting.
Employed National Center for Health Statistics (NCHS) growth curve data for children aged 2-18.
Compared Method I results with those from the least-squares-cubic-spline method.
Used Microsoft EXCEL's SOLVER function for curve generation.

Main Results:

Method I successfully generated smoothed growth curves for height and weight.
Method I demonstrated a lower sum of squares compared to the least-squares-cubic-spline method.
Residual examination indicated a better fit of shape for Method I curves.
Method I proved to be as effective, if not superior, to the least-squares-cubic-spline method.

Conclusions:

The Preece and Baine Method I is a user-friendly and effective tool for creating smoothed centile growth curves.
Method I provides comparable or superior results to the least-squares-cubic-spline method for child growth data.
Smoothed growth curves can be efficiently generated on standard desktop computers using readily available software.