Evaluating body composition in infancy and childhood: A comparison between 4C, QMR, DXA, and ADP

Summary Background Accurate and precise methods to measure of body composition in infancy and childhood are needed. Objectives This study evaluated differences and precision of three methods when compared with the four‐compartment (4C) model for estimating fat mass (FM). Methods FM of children (age...

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Published inPediatric obesity Vol. 15; no. 6; pp. e12617 - n/a
Main Authors Heard‐Lipsmeyer, Melissa E., Hull, Holly, Sims, Clark R., Cleves, Mario A., Andres, Aline
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Inc 01.06.2020
Wiley Subscription Services, Inc
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Summary:Summary Background Accurate and precise methods to measure of body composition in infancy and childhood are needed. Objectives This study evaluated differences and precision of three methods when compared with the four‐compartment (4C) model for estimating fat mass (FM). Methods FM of children (age 14 days to 6 years of age, N = 346) was obtained using quantitative nuclear magnetic resonance (QMR, EchoMRI‐AH), air‐displacement plethysmography (ADP, PeaPod, less than or equal to 8 kg, BodPod age 6 years or older), and dual‐energy X‐ray absorptiometry (DXA, Hologic QDR). The 4C model was computed. Correlation, concordance, and Bland‐Altman analyses were performed. Results In infants, PeaPod had high individual FM accuracy, whereas DXA had high group FM accuracy compared with 4C. In children, DXA had high group and individual FM accuracies compared with 4C. QMR underestimated group FM in infants and children (300 and 510 g, respectively). The instrument FM precision was best for QMR (10 g) followed by BodPod (34 g), PeaPod (38 g), and DXA (45 g). Conclusions In infants, PeaPod was the best method to estimate individual FM whereas DXA was best to estimate group FM. In children, DXA was best to estimate individual and group FM. QMR had the highest instrument precision.
Bibliography:Funding information
National Institutes of Health (NIH)/National Institute of Diabetes and Digestive and Kidney Diseases, Grant/Award Numbers: R01 DK118220, R01 DK107516’; USDA‐ARS, Grant/Award Number: 6026‐51000‐010‐05S
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ISSN:2047-6302
2047-6310
DOI:10.1111/ijpo.12617