Resting energy expenditure in obese children aged 4 to 15 years: Measured versus predicted data

Aim: To measure the relationship of resting energy expenditure (REE) and body composition, and to compare REE data calculated from anthropometric parameters using published equations with measurements obtained by indirect calorimetry (IC) in a population of obese paediatric patients. Methods: The st...

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Bibliographic Details
Published in:Acta Paediatrica 2004-06, Vol.93 (6), p.739-746
Main Authors: Schmelzle, H, Schröder, C, Armbrust, S, Unverzagt, S, Fusch, C
Format: Article
Language:English
Subjects:
Absorptiometry, Photon
Adolescent
Basal Metabolism
Body Composition
Body Mass Index
Calorimetry, Indirect
Child
Child, Preschool
dual energy X‐ray absorptiometry
Female
Humans
indirect calorimetry
Male
obesity
Obesity - metabolism
paediatrics
Reproducibility of Results
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Summary:Aim: To measure the relationship of resting energy expenditure (REE) and body composition, and to compare REE data calculated from anthropometric parameters using published equations with measurements obtained by indirect calorimetry (IC) in a population of obese paediatric patients. Methods: The study included 82 healthy obese paediatric subjects (49 boys, 33 girls; body mass index 29.6 ± 5.0 kg/m2, age 11.4 ± 2.6 y, weight 72.4 ± 20.9 kg, height 155 ± 14 cm). REE was measured by IC, body composition was determined by dual energy X‐ray absorptiometry (DXA). Bootstrap analysis was performed to validate the step‐down linear regression analysis results. Results: Lean body mass (LBM) and weight were identified as the most significant determinants of REE. LBM was the best single predictor (r= 0.78; p < 0.001) for REE. Regression equations are given in the text. Prediction of REE on the basis of published anthropometric formulas was strongly dependent from the equation used. Some equations tend to underestimate REE in the population studied with a considerable systematic error. Conclusion: In the present paper we show that (1) the published equations to predict REE in obese subjects yield scattered data and some are even biased by a systematic error, and that (2) the inclusion of DXA‐derived LBM improves accuracy and precision of predicted REE in boys and girls aged from 4 to 10 y and in boys from 11 to 15 y.
ISSN:0803-5253
1651-2227
DOI:10.1111/j.1651-2227.2004.tb01000.x