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Resting energy expenditure in obese children aged 4 to 15 years: measured versus predicted data.
Acta Paediatr 2004; 93(6):739-46AP

Abstract

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/m , age 1 1.4 +/- 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.

Authors+Show Affiliations

Neonatology, University Children's Hospital, Greifswald, Germany.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Clinical Trial
Journal Article

Language

eng

PubMed ID

15244220

Citation

Schmelzle, H, et al. "Resting Energy Expenditure in Obese Children Aged 4 to 15 Years: Measured Versus Predicted Data." Acta Paediatrica (Oslo, Norway : 1992), vol. 93, no. 6, 2004, pp. 739-46.
Schmelzle H, Schröder C, Armbrust S, et al. Resting energy expenditure in obese children aged 4 to 15 years: measured versus predicted data. Acta Paediatr. 2004;93(6):739-46.
Schmelzle, H., Schröder, C., Armbrust, S., Unverzagt, S., & Fusch, C. (2004). Resting energy expenditure in obese children aged 4 to 15 years: measured versus predicted data. Acta Paediatrica (Oslo, Norway : 1992), 93(6), pp. 739-46.
Schmelzle H, et al. Resting Energy Expenditure in Obese Children Aged 4 to 15 Years: Measured Versus Predicted Data. Acta Paediatr. 2004;93(6):739-46. PubMed PMID: 15244220.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Resting energy expenditure in obese children aged 4 to 15 years: measured versus predicted data. AU - Schmelzle,H, AU - Schröder,C, AU - Armbrust,S, AU - Unverzagt,S, AU - Fusch,C, PY - 2004/7/13/pubmed PY - 2004/9/24/medline PY - 2004/7/13/entrez SP - 739 EP - 46 JF - Acta paediatrica (Oslo, Norway : 1992) JO - Acta Paediatr. VL - 93 IS - 6 N2 - 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/m , age 1 1.4 +/- 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. SN - 0803-5253 UR - https://www.unboundmedicine.com/medline/citation/15244220/Resting_energy_expenditure_in_obese_children_aged_4_to_15_years:_measured_versus_predicted_data_ L2 - https://onlinelibrary.wiley.com/resolve/openurl?genre=article&amp;sid=nlm:pubmed&amp;issn=0803-5253&amp;date=2004&amp;volume=93&amp;issue=6&amp;spage=739 DB - PRIME DP - Unbound Medicine ER -