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Assessment of the heart-rate method for determining energy expenditure in man, using a whole-body calorimeter

Published online by Cambridge University Press:  09 March 2007

M. J. Dauncey  and
W. P. T. James
M. J. Dauncey
Affiliation:
MRC Dunn Calorimetry Group, ARC Institute of Animal Physiology, Babraham, Cambridge CB2 4AT
W. P. T. James
Affiliation:
MRC Dunn Calorimetry Group, ARC Institute of Animal Physiology, Babraham, Cambridge CB2 4AT
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Abstract

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1. The heart-rate (HR) method for determining the energy expenditure of free-living subjects has been evaluated using a whole-body calorimete in which individuals lived continuously for 27 h while carrying out normal daily activities. Eight male volunteers each occupied the calorimeter on at least two occasions when HR and energy expenditure were measured continously.

2. After each session in the calorimeter a calibration was obtained using standard techniques by determining HR and heat production (HP) over periods of 10–15 min at several levels of activity. Energy expenditure in the calorimeter was then predicted, by each of five methods, from the mean HR in the calorimeter. Additionally, one session in the calorimeter was used to obtain a calibration and was used for predicting the subject's energy expenditure while in the calorimeter on other occasions.

3. Standard methods of prediction using one calibration point at rest and several points during activity were unreliable for predicting the energy expenditure of an individual. The 24 h HR was at the lower end of the calibration scale and there were considerable over-estimates or underestimates of energy expenditure, particularly during the night when the mean (±SD) difference between the actual and predicted HP was −66±38±6%. A linear regression fitted to points at the lower levels of activity improved the prediction of 24 h HP while a logistic plot reduced the error even further. The best estimate of energy expenditure was that obtained from a calibration over 24 h within the calorimeter; the mean (±SD) difference between the actual and predicted 24 h HP was +3+10.5% for light activity and −3±6.7% for moderate activity. Thus current procedures for calibrating subjects may lead to large errors which could be reduced by using a respiratory chamber.

Type
Papers of direct relevance to Clinical and Human Nutrition
Information
British Journal of Nutrition , Volume 42 , Issue 1 , July 1979 , pp. 1 - 13
Copyright
Copyright © The Nutrition Society 1979

References

Andrews, R. B. (1971). Am. J. clin. Nutr. 24, 1139.Google Scholar
Baker, J. A., Humphrey, S. J. E. & Wolff, H. S. (1967). J. Physiol., Lond. 188, 4P.Google Scholar
Berg, K. (1971). Am. J. clin. Nutr. 24, 1438.CrossRefGoogle Scholar
Booyens, J. & Hervey, G. R. (1960). Can. J. Biochem. Physiol. 38, 1301.CrossRefGoogle Scholar
Bradfield, R. B. (1971). Am. J. clin. Nutr. 24, 1148.Google Scholar
Bradfield, R. B., Chan, H., Bradfield, N. E. & Payne, P. R. (1971). Am. J. clin. Nutr. 24, 1461.Google Scholar
Bradfield, R. B. & Jourdan, M. (1972). Am. J. clin. Niitr. 25, 971.CrossRefGoogle Scholar
Brockway, J. M. & McEwan, E. H. (1969). J. Physiol., Lond. 202, 661.CrossRefGoogle Scholar
Dauncey, M. J. & James, W. P. T. (1977). 2nd International Congress of ObesityWashington, DC, USA.Google Scholar
Dauncey, M. J., Murgatroyd, P. R. & Cole, T. J. (1978). Br. J. Nutr. 39, 557.CrossRefGoogle Scholar
DuBois, D.& DuBois, E. F. (1916). Archs. int. Med. 17, 863.CrossRefGoogle Scholar
Goldsmith, R., Miller, D. S., Mumford, P. & Stock, M. J. (1966). J. Physiol., Lond. 189, 35P.Google Scholar
Littler, W. A., Honour, A. J., Sleight, P. & Stott, F. D. (1972). Er. Med. J. 3, 76.CrossRefGoogle Scholar
McKinnon, J. B. (1974). In Biotdemetry ll. 2nd Internarionnl Symposium, p. 67 [Neukornm, P. A., editor]. Basel: S. Karger.Google Scholar
McLean, J. A. & Watts, P. R. (1976). J. Appl. Physiol. 40, 827.CrossRefGoogle Scholar
Metropolitan Life Insurance Company (1960). Star. Bull. 41.Google Scholar
Payne, P. R., Wheeler, E. F. & Salvosa, C. B. (1971). Am. J. clin. Nutr. 24, 1164.CrossRefGoogle Scholar
Polernan, T. T., Beeghly, W., Matlon, P. & McGregor, A. (1972). Cornell int. Agric. Dev. Mimeogr. 38.Google Scholar
Warnold, I. & Arvidsson Lenner, R. (1977). Am. J. clin. Nirtr. 30, 304.CrossRefGoogle Scholar
Webster, A. J. F. (1967). Br. J. Nutr. 21, 769.Google Scholar
Wooley, J. B. & Owen, R. B. (1977). Comp. Biochem. Physiol. 57A, 363.Google Scholar
Yarnamoto, S., Matsuoka, K., Yamada, H. & Mimura, K. (1977). Jap. J. Zootech. Sci. 48, 138.Google Scholar