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Published in: BMC Pediatrics 1/2017

Open Access 01-12-2017 | Technical advance

BMI-for-age graphs with severe obesity percentile curves: tools for plotting cross-sectional and longitudinal youth BMI data

Authors: Susan B. Racette, Liyang Yu, Nicholas C. DuPont, B. Ruth Clark

Published in: BMC Pediatrics | Issue 1/2017

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Abstract

Background

Severe obesity is an important and distinct weight status classification that is associated with disease risk and is increasing in prevalence among youth. The ability to graphically present population weight status data, ranging from underweight through severe obesity class 3, is novel and applicable to epidemiologic research, intervention studies, case reports, and clinical care.

Methods

The aim was to create body mass index (BMI) graphing tools to generate sex-specific BMI-for-age graphs that include severe obesity percentile curves. We used the Centers for Disease Control and Prevention youth reference data sets and weight status criteria to generate the percentile curves. The statistical software environments SAS and R were used to create two different graphing options.

Results

This article provides graphing tools for creating sex-specific BMI-for-age graphs for males and females ages 2 to <20 years. The novel aspects of these graphing tools are an expanded BMI range to accommodate BMI values ˃35 kg/m2, inclusion of percentile curves for severe obesity classes 2 and 3, the ability to plot individual data for thousands of children and adolescents on a single graph, and the ability to generate cross-sectional and longitudinal graphs.

Conclusions

These new BMI graphing tools will enable investigators, public health professionals, and clinicians to view and present youth weight status data in novel and meaningful ways.
Appendix
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Metadata
Title
BMI-for-age graphs with severe obesity percentile curves: tools for plotting cross-sectional and longitudinal youth BMI data
Authors
Susan B. Racette
Liyang Yu
Nicholas C. DuPont
B. Ruth Clark
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Pediatrics / Issue 1/2017
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-017-0885-x

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