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Graphical displays of growth data.

J R Hebert, C Waternaux

The American Journal of Clinical Nutrition

|July 1, 1983

Summary

This study introduces a novel boxplot method for visualizing children's growth data, enabling comparisons with international standards and subgroups. This technique simplifies the establishment of local anthropometric norms.

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Area of Science:

Pediatrics
Anthropometry
Biostatistics

Background:

Accurate assessment of child growth is crucial for public health.
Existing methods for comparing growth data can be complex and resource-intensive.
There is a need for accessible tools to compare growth across diverse populations.

Purpose of the Study:

To present an innovative graphical technique for displaying and comparing children's growth information.
To facilitate simultaneous comparisons of growth data against international standards and within study subgroups.
To enable the establishment of local anthropometric norms efficiently.

Main Methods:

Utilizes boxplots to represent key percentiles (5th, 25th, median, 75th, 95th) and extremes of growth parameters.
Integrates age-specific distributions onto a single graph with an "age" axis.
Applies the method to anthropometric indices for comparative analysis.

Main Results:

The boxplot method provides a clear visualization of growth parameter distributions.
Allows for effective comparison of subgroups and international standards.
Demonstrates the utility in establishing local anthropometric norms without extensive resources.

Conclusions:

The proposed boxplot technique offers an informative and visually appealing approach to growth data analysis.
It enhances the ability to compare diverse pediatric populations and establish localized growth references.
This graphical method is a valuable tool for researchers and clinicians in child health assessment.

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