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The Development of Growth References and Growth Charts

Overview
Journal Ann Hum Biol
Specialty Biology
Date 2012 Jul 12
PMID 22780429
Citations 86
Authors
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Abstract

Context: De Montbeillard produced the first growth chart in the late 18(th) century. Since then, growth assessment has developed to become an essential component of child health practice.

Objective: To provide a brief history of (i) anthropometry, i.e. growth measurements; (ii) growth references, the statistical summary of anthropometry and (iii) growth charts, the visual representation of growth references for clinical use.

Methods: The major contributors in the three categories over the past 200 years were identified and their historical contributions put in context with more recent developments.

Results: Anthropometry was originally collected for administrative or public health purposes, its medical role emerging at the end of the 19(th) century. Growth reference data were collected in earnest from the 19(th) century, during which time the familiar statistical summary statistics-mean, SD, centiles-were developed. More advanced statistical methods emerged much later. Growth charts first appeared in the late 19(th) century and Tanner and Whitehouse later popularized the concepts of velocity and conditional references for growth in puberty. An important recent reference is the WHO growth standard, which documents optimal growth and has been adopted by many countries including the UK. Arising from it, the UK-WHO charts have pioneered many design features to improve usability and accuracy.

Conclusion: Growth charts have developed considerably in 200 years and they represent an impressive synthesis of anthropometry, statistical summary and chart design.

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References
1.
Johnson R, McClearn G, Yuen S, Nagoshi C, Ahern F, COLE R . Galton's data a century later. Am Psychol. 1985; 40(8):875-92. View

2.
Cole T, Green P . Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med. 1992; 11(10):1305-19. DOI: 10.1002/sim.4780111005. View

3.
Freeman J, Cole T, Chinn S, Jones P, White E, Preece M . Cross sectional stature and weight reference curves for the UK, 1990. Arch Dis Child. 1995; 73(1):17-24. PMC: 1511167. DOI: 10.1136/adc.73.1.17. View

4.
. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006; 450:76-85. DOI: 10.1111/j.1651-2227.2006.tb02378.x. View

5.
Cole T, Cortina-Borja M, Sandhu J, Kelly F, Pan H . Nonlinear growth generates age changes in the moments of the frequency distribution: the example of height in puberty. Biostatistics. 2007; 9(1):159-71. DOI: 10.1093/biostatistics/kxm020. View