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Intra- and interindividual variability of resting energy expenditure in healthy male subjects – biological and methodological variability of resting energy expenditure

Published online by Cambridge University Press:  08 March 2007

Nicolle Bader ,
Anja Bosy-Westphal ,
Britta Dilba  and
Manfred J. Müller
Nicolle Bader
Affiliation:
Insititut für Humanernährung und Lebensmittelkunde der Christian-Albrechts-Universität zu Kiel, Germany
Anja Bosy-Westphal
Affiliation:
Insititut für Humanernährung und Lebensmittelkunde der Christian-Albrechts-Universität zu Kiel, Germany
Britta Dilba
Affiliation:
Insititut für Humanernährung und Lebensmittelkunde der Christian-Albrechts-Universität zu Kiel, Germany
Manfred J. Müller*
Affiliation:
Insititut für Humanernährung und Lebensmittelkunde der Christian-Albrechts-Universität zu Kiel, Germany
*
*Corresponding author: Professor Manfred J. Müller, fax +49 431 8805679, email mmueller@nutrfoodsc.uni-kiel.de
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Abstract

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The objective of the present study was to investigate the contribution of intra-individual variance of resting energy expenditure (REE) to interindividual variance in REE. REE was measured longitudinally in a sample of twenty-three healthy men using indirect calorimetry. Over a period of 2 months, two consecutive measurements were done in the whole group. In subgroups of seventeen and eleven subjects, three and four consecutive measurements were performed over a period of 6 months. Data analysis followed a standard protocol considering the last 15min of each measurement period and alternatively an optimised protocol with strict inclusion criteria. Intra-individual variance in REE and body composition measurements (CVintra) as well as interindividual variance (CVinter) were calculated and compared with each other as well as with REE prediction from a population-specific formula. Mean CVintra for measured REE and fat-free mass (FFM) ranged from 5·0 to 5·6% and from 1·3 to 1·6%, respectively. CVintra did not change with the number of repeated measurements or the type of protocol (standard v. optimised protocol). CVinter for REE and REE adjusted for FFM (REEadj) ranged from 12·1 to 16·1% and from 10·4 to 13·6%, respectively. We calculated total error to be 8%. Variance in body composition (CVintra FFM) explains 19% of the variability in REEadj, whereas the remaining 81% is explained by the variability of the metabolic rate (CVintra REE). We conclude that CVintra of REE measurements was neither influenced by type of protocol for data analysis nor by the number of repeated measurements. About 20% of the variance in REEadj is explained by variance in body composition.

Keywords

Resting energy expenditureIntra-individual varianceInterindividual varianceResting energy expenditure prediction
Type
Research Article
Information
British Journal of Nutrition , Volume 94 , Issue 5 , November 2005 , pp. 843 - 849
Copyright
Copyright © The Nutrition Society 2005

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