A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts

A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts

Summary: Background: Both national and WHO growth charts have been found to be poorly calibrated with the physical growth of children in many countries. We aimed to generate new national growth charts for French children in the context of huge datasets of physical growth measurements routinely coll...

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Main Authors: Barbara Heude, PhD, Pauline Scherdel, PhD, Andreas Werner, MD, Morgane Le Guern, MSc, Nathalie Gelbert, MD, Déborah Walther, MSc, Michel Arnould, MD, Marc Bellaïche, MD, Bertrand Chevallier, ProfMD, Jacques Cheymol, MD, Emmanuel Jobez, MD, Sylvie N'Guyen, ProfPhD, Christine Pietrement, ProfPhD, Rachel Reynaud, ProfPhD, Jean-François Salaün, MD, Babak Khoshnood, PhD, Jennifer Zeitlin, ProfPhD, Jean Maccario, ProfPhD, Gérard Breart, ProfMD, Jean-Christophe Thalabard, ProfPhD, Marie-Aline Charles, PhD, Jérémie Botton, PhD, Bruno Frandji, PhD, Martin Chalumeau, ProfPhD
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750019301499

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http://www.sciencedirect.com/science/article/pii/S2589750019301499

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