Journal of Nutrition

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© 2005 The American Society for Nutritional Sciences J. Nutr. 135:2257-2262, September 2005


Nutritional Methodology

Need for Optimal Body Composition Data Analysis Using Air-Displacement Plethysmography in Children and Adolescents1

Anja Bosy-Westphal, Sandra Danielzik, Christine Becker, Corinna Geisler, Simone Onur, Oliver Korth, Frederike Bührens and Manfred J. Müller2

Institut für Humanernährung und Lebensmittelkunde der Christian-Albrechts University Kiel, Germany

2To whom correspondence should be addressed. E-mail: mmueller{at}nutrfoodsc.uni-kiel.de.

Air-displacement plethysmography (ADP) is now widely used for body composition measurement in pediatric populations. However, the manufacturer’s software developed for adults leaves a potential bias for application in children and adolescents, and recent publications do not consistently use child-specific corrections. Therefore we analyzed child-specific ADP corrections with respect to quantity and etiology of bias compared with adult formulas. An optimal correction protocol is provided giving step-by-step instructions for calculations. In this study, 258 children and adolescents (143 girls and 115 boys ranging from 5 to 18 y) with a high prevalence of overweight or obesity (28.0% in girls and 22.6% in boys) were examined by ADP applying the manufacturer’s software as well as published equations for child-specific corrections for surface area artifact (SAA), thoracic gas volume (TGV), and density of fat-free mass (FFM). Compared with child-specific equations for SAA, TGV, and density of FFM, the mean overestimation of the percentage of fat mass using the manufacturer’s software was 10% in children and adolescents. Half of the bias derived from the use of Siri’s equation not corrected for age-dependent differences in FFM density. An additional 3 and 2% of bias resulted from the application of adult equations for prediction of SAA and TGV, respectively. Different child-specific equations used to predict TGV did not differ in the percentage of fat mass. We conclude that there is a need for child-specific equations in ADP raw data analysis considering SAA, TGV, and density of FFM.


KEY WORDS: • fat mass • air-displacement plethysmography • thoracic gas volume • children • adolescents




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