Hostname: page-component-5db58dd55d-bthnr Total loading time: 0 Render date: 2026-06-17T08:10:25.943Z Has data issue: false hasContentIssue false
  • English
  • Français

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
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

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

Information

Type
Research Article
Information
British Journal of Nutrition , Volume 94 , Issue 5 , November 2005 , pp. 843 - 849
Copyright
Copyright © The Nutrition Society 2005

References

Adriaens, MPE, Schoffelen, PFM & Westerterp, KR (2003) Intra-individual variation of basal metabolic rate and the influence of daily habitual physical activity before testing. Br J Nutr 90, 419–423.CrossRefGoogle ScholarPubMed
Anonymous (1985) Energy and protein requirements. Report of a joint FAO/WHO/UNU Expert Consultation. World Health Organ Tech Rep Ser 724, 1–206.Google Scholar
Bell, SC, Elborn, JS, Nixon, LE, Macdonald, IA & Shale, DJ (1999) Repeatibility and methodology of resting energy exenditure in patients with cystic fibrosis. Respir Physiol 115, 301–307.CrossRefGoogle ScholarPubMed
Black, AE & Cole, TJ (2000) Within- and between-subject variation in energy expenditure measured by the doubly-labelled water technique: implications for validating reported dietary energy intake. Eur J Clin Nutr 54, 386–394.CrossRefGoogle ScholarPubMed
Bland, JM & Altman, DG (1996) Measurement error. BMJ 312, 1654.CrossRefGoogle ScholarPubMed
Figueroa-Colon, R, Franklin, FA, Goran, MI, Lee, JY & Weinsier, RL (1996) Reproducibility of measurement of resting energy expenditure in prepubertal girls. Am J Clin Nutr 64, 533–536.CrossRefGoogle ScholarPubMed
Garby, L & Lammert, O (1984) Within-subjects between-days- and weeks variation in energy expenditure at rest. Hum Nutr Clin Nutr 38, 395–397.Google ScholarPubMed
Garby, L & Lammert, O & Nielsen, E (1984) Within-subjects between-weeks variation in 24-hour energy expenditure for fixed physical activity. Hum Nutr Clin Nutr 38, 391–394.Google ScholarPubMed
Goran, MI, Nagy, TR, Gower, BA, Mazariegos, M, Solomons, N, Hood, V & Johnson, R, (1998) Influence of sex, seasonality, ethnicity, and geographic location on the components of total energy expenditure in young children: implications for energy requirements. Am J Clin Nutr 68, 675–682.CrossRefGoogle ScholarPubMed
Harris, JA & Benedict, FG (1919) A Biometric Study of Basal Metabolism in Man. Publication no.279. Washington, DC: Carnegie Institute of Washington.Google Scholar
Haugen, HA, Melanson, EL, Tran, ZV, Kearney, JT & Hill, JO (2003) Variability of measured resting metabolic rate. Am J Clin Nutr 78, 1141–1144.CrossRefGoogle ScholarPubMed
Lacher, DA, Hughes, JP & Carroll, MD (2005) Estimate of biological variation of laboratory analytes based on the Third Health and Nutrition Examination Survey. Clin Chem 51, 450–452.CrossRefGoogle ScholarPubMed
Leibel, RL, Rosenbaum, M & Hirsch, J (1995) Changes in energy expenditure resulting from altered body weight. N Engl J Med 332, 621–628.CrossRefGoogle ScholarPubMed
McClave, SA, Lowen, CC, Kleber, MJ, McConnel, JW, Jung, LY & Goldsmith, LJ (2003) Clinical use of the respiratory quotient obtained from indirect calorimetry. J Parenter Enteral Nutr 27, 21–26.CrossRefGoogle ScholarPubMed
Melanson, EL, Coelho, LB, Tran, ZV, Haugen, HA, Kearney, JT & Hill, JO (2004) Validation of the BodyGem(tm) hand-held calorimeter. Int J Obes 28, 1479–1484.CrossRefGoogle Scholar
Müller, MJ, Bosy-Westphal, A, Klaus, S,et al. (2004) World Health Organization equations have shortcomings for predicting energy expenditure in persons from a modern, affluent population: generation of a new reference standard from a retrospective analysis of a German database of resting energy expenditure. Am J Clin Nutr 80, 1379–1390.CrossRefGoogle Scholar
Müller, MJ, Bosy-Westphal, A, Kutzner, D & Heller, M (2002) Metabolically active components of fat-free mass and resting energy expenditure in humans: recent lessons from imaging technologies. Obes Rev 3, 113–122.CrossRefGoogle ScholarPubMed
Murgatroyd, PR, Davies, HL & Prentice, AM, (1987) Intra-individual variability and measurement noise in estimates of energy expenditure by whole body indirect calorimetry. Br J Nutr 58, 347–356.CrossRefGoogle ScholarPubMed
Ravussin, E & Bogardus, C (1989) Relationship of genetics, age, and physical fitness to daily energy expenditure and fuel utilization. AmJ Clin Nutr 49, 968–975.CrossRefGoogle ScholarPubMed
Ravussin, E, Lillioja, S, Anderson, TE, Christin, L & Bogardus, C (1986) Determinants of 24-hour energy expenditure in man. J Clin Invest 78, 1568–1578.CrossRefGoogle ScholarPubMed
Ravussin, E, Lillioja, S & Knowler, WC (1988) Reduced rate of energy expenditure as a risk factor for body-weight gain. N Engl J Med 318, 467–472.CrossRefGoogle ScholarPubMed
Reeves, MM, Davies, PSW, Bauer, J & Battistutta, D, (2004) Reducing the time period of steady state does not affect the accuracy of energy expenditure measurements by indirect calorimetry. J Appl Physiol 97, 130–134.CrossRefGoogle Scholar
Rieper, H, Karst, H, Noack, R & Johnsen, D (1993) Intra- and inter-individual variations in energy expenditure of 14–15-year-old schoolgirls as determined by indirect calorimetry.Br J Nutr 69, 29–36.CrossRefGoogle ScholarPubMed
Rumpler, WV, Seale, JL, Conway, JM & Moe, PW (1990) Repeatibility of 24-h energy expenditure measurements in humans by indirect calorimetry. Am J Clin Nutr 51, 147–152.CrossRefGoogle ScholarPubMed
Seidell, JC, Muller, DC, Sorkin, JD & Andres, R (1992) Fasting respiratory exchange ratio and resulting metabolic rate as predictors of weight gain: the Baltimore Longitudinal Study on Aging. Int J Obes 16, 667–674.Google Scholar
Soares, MJ & Shetty, PS (1986) Intra-individual variations in resting metabolic rates of human subjects. Hum Nutr Clin Nutr 40, 365–369.Google ScholarPubMed
Tataranni, PA & Ravussin, E (1995) Variability in metabolic rate: biological sites of regulation. Int J Obes Relat Metab Disord 19, Suppl. 4102–106.Google ScholarPubMed
Valtuena, S, Salas-Salvado, J & Lorda, PG (1997) The respiratory quotient as a prognostic factor in weight-loss rebound. Int J Obes 21, 811–817.CrossRefGoogle ScholarPubMed
Ventham, CJ & Reilly, JJ (1999) Reproducibility of resting metabolic rate measurement in children. Br J Nutr 81, 435–437.CrossRefGoogle ScholarPubMed
Weinsier, RL, Nelson, KM, Hensrud, DD, Darnell, BE, Hunter, GR & Schutz, Y (1995) Metabolic predictors of obesity. J Clin Invest 95, 980–985.CrossRefGoogle ScholarPubMed
Weir, JB (1949) New methods for calculating metabolic rate with special reference to protein metabolism. Nutrition 6, 213–221.Google Scholar
Weststrate, JA (1993) Resting metabolic rate and diet-induced thermogenesis: a methodological reappraisal. Am J Clin Nutr 58, 592–601.CrossRefGoogle ScholarPubMed
Weyer, C, Pratley, RE, Salbe, AD, Bogardus, C, Ravussin, E & Tataranni, PA (1999) Energy expenditure, fat oxidation, and body weight regulation: a study of metabolic adaption to long-term weight change. J Clin Endocrinol Metab 85, 1087–1094.CrossRefGoogle Scholar
Zurlo, F, Lillioja, S & Espesito-del, Puente A (1990) Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ. Am J Physiol 259, E650–E657.Google ScholarPubMed
Zurlo, F, Schutz, Y, Frascarolo, P, Enzi, G, Deriaz, O & Jequier, E (1986) Variability of resting energy expenditure in healthy volunteers during fasting and continuous enteral feeding. Crit Care Med 14, 535–539.CrossRefGoogle ScholarPubMed