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Feasibility of heart-rate monitoring to estimate total level and pattern of energy expenditure in a population-based epidemiological study: the Ely young cohort feasibility study 1994–5

Published online by Cambridge University Press:  09 March 2007

Nicholas J. Wareham
Affiliation:
Department of Community Medicine, Institute of Public Health, University of Cambridge, Cambridge, CB2 2SR
Susie J. Hennings
Affiliation:
Department of Community Medicine, Institute of Public Health, University of Cambridge, Cambridge, CB2 2SR
Andrew M. Prentice
Affiliation:
MRC Dunn Clinical Nutrition Centre, Hills Road, Cambridge, CB2 2DH
Nicholas E. Day
Affiliation:
Department of Community Medicine, Institute of Public Health, University of Cambridge, Cambridge, CB2 2SR
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Abstract

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Increasing the precision of measurements of total energy expenditure in population-based epidemiological studies is important for accurately quantifying the relationship between this exposure and disease. Current questionnaire-based methods cannot accurately quantify total energy expenditure, although they may provide an estimate of the frequency of vigorous activities. Heart rate monitoring with individual calibration has been advocated as a method for assessing energy expenditure in field studies and has been compared with the ‘gold standard’ techniques of doubly-labelled water and indirect calorimetry. However the method has previously only been used on small and selected populations. This study was, therefore, established to test the feasibility of using heart rate monitoring in a population-based study of adults. A total of 167 individuals aged 30–40 years were randomly selected and underwent 4 d heart-rate monitoring. Only three individuals could not complete the protocol. The mean physical activity level (PAL) measured over 4 d was 1.89 (sd 0.40) in men and 1.76 (sd 0.31) in women. There was no difference between mean PAL on weekend days compared with weekdays (mean paired difference 0.0008, 95% CI −0.06 to + 0.06). The estimate of mean PAL was not correlated with BMI, percentage body fat or the waist:hip ratio. It was, however, correlated with cardio-respiratory fitness as measured by VO2max per kg (Spearman rank correlation coefficient 0.50 in men and 0.42 in women). The pattern of energy expenditure was assessed by calculating the percentage of daytime hours in which PAL was greater than five times basal energy expenditure. This measure was strongly correlated with the mean PAL in both men (Spearman correlation coefficient 0.77) and women (0.71). We conclude that heart-rate monitoring is a feasible method for assessing the pattern and total level of energy expenditure in medium-sized epidemiological studies. It may also prove useful as the reference technique for calibrating questionnaires to estimate energy expenditure in larger scale studies.

Type
Human and Clinical Nutrition
Copyright
Copyright © The Nutrition Society 1997

References

REFERENCES

Ainsworth, B. E., Haskell, W. L., Leon, A. S., Jacobs, D. R., Montoye, H. J., Sallis, J. F. & Paffenbarger, R. S. (1993) Compendium of physical activities: classification of energy costs of human physical activities. Medicine and Science in Sports and Exercise 25, 7180.CrossRefGoogle ScholarPubMed
Armstrong, N., Balding, J., Gentle, P. & Kirby, B. (1990) Patterns of physical activity among 11 to 16 year old British children. British Medical Journal 301, 203205.CrossRefGoogle ScholarPubMed
Black, A. E., Coward, W. A., Cole, T. J. & Prentice, A. M. (1996) Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. European Journal of Clinical Nutrition 50, 7292.Google ScholarPubMed
Caspersen, C. J. (1989) Physical activity epidemiology: concepts, methods, and applications to exercise science. Exercise Sports Science Reviews 17, 423473.Google Scholar
Ceesay, S. M., Prentice, A. M., Day, K. C., Murgatroyd, P. R., Goldberg, G. R., Scott, W. & Spurr, G. B. (1989) The use of heart rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry. British Journal of Nutrition 61, 175186.CrossRefGoogle ScholarPubMed
Christensen, C. C., Frey, H. M. M., Foenstelien, E., Aadland, E. & Refsum, H. E. (1983) A critical evaluation of energy expenditure estimates based on individual O2 consumption/heart rate curves and average daily heart rate. American Journal of Clinical Nutrition 37, 468472.CrossRefGoogle ScholarPubMed
Consolazio, C. F., Johnson, R. E. & Pecora, L. J. (1963) Physiological Measurements of Metabolic Functions in Man. New York: McGraw Hill.Google Scholar
Dauncey, M. J. & James, W. P. T. (1979) Assessment of the heart rate method for determining energy expenditure in man, using a whole body calorimeter. British Journal of Nutrition 42, 113.CrossRefGoogle ScholarPubMed
Goldberg, G. R., Prentice, A. M., Davies, H. L. & Murgatroyd, P. R. (1988) Overnight and basal metabolic rates in men and women. European Journal of Clinical Nutrition 42, 137144.Google ScholarPubMed
Harrison, M. H., Bruce, D. L., Brown, G. A. & Cochrane, L. A. (1980) A comparison of some indirect methods of predicting maximal oxygen uptake. Aviation Space and Environmental Medicine 51, 1128.Google ScholarPubMed
Haskell, W. L., Leon, A. S., Caspersen, C. J., Froelicher, V. F., Hagberg, J. M., Harlan, W., Holloszy, J. O., Regensteiner, J. G., Thompson, P. D., Wasburn, R. A. & Wilson, P. W. F. (1992) Cardiovascular benefits and assessment of physical activity and physical fitness in adults. Medicine and Science in Sports and Exercise 24, S201S220.CrossRefGoogle ScholarPubMed
Heini, A., Schutz, Y., Diaz, E., Prentice, A. M., Whitehead, R. G. & Jequier, E. (1991) Free-living energy expenditure measured by two independent techniques in pregnant and non-pregnant Gambian women. American Journal of Physiology 261, E9E17.Google Scholar
Jacobs, D. R., Ainsworth, B. E., Hartman, T. J. & Leon, A. S. (1993) A simultaneous evaluation of 10 commonly used physical activity questionnaires. Medicine and Science in Sports and Exercise 25, 8191.CrossRefGoogle ScholarPubMed
James, W. P. T. & Schofield, E. C. (1990) Human Energy Requirements. Oxford: Oxford Medical Publications.Google Scholar
Kalkwarf, H. J., Haas, J. D., Belko, A. Z., Roach, R. C. & Roe, D. A. (1989) Accuracy of heart-rate monitoring and activity diaries for estimating energy expenditure. American Journal of Clinical Nutrition 49, 3743.CrossRefGoogle ScholarPubMed
Leonard, W. R., Katzmarzyk, P. T., Stephen, M. A. & Ross, A. G. P. (1995) Comparison of the heart rate-monitoring and factorial methods: assessment of energy expenditure in highland and coastal Ecuadoreans. American Journal of Clinical Nutrition 61, 11461152.CrossRefGoogle ScholarPubMed
Li, R., Deurenberg, P. & Hautvast, J. G. A. J. (1993) A critical evaluation of heart rate monitoring to assess energy expenditure in individuals. American Journal of Clinical Nutrition 58, 602607.CrossRefGoogle ScholarPubMed
Livingstone, M. B. E., Coward, W. A., Prentice, A. M., Davies, P. S. W., Strain, J. J., McKenna, P. G., Mahoney, C. A., White, J. A., Stewart, C. M. & Kerr, M-J. J. (1992) Daily energy expenditure in free-living children: comparison of heart-rate monitoring with the doubly labeled water (2H218O) method. American Journal of Clinical Nutrition 56, 343352.CrossRefGoogle Scholar
Livingstone, M. B. E., Prentice, A. M., Coward, W. A., Ceesay, S. M., Strain, J. J., McKenna, P. G., Nevin, G. B., Barker, M. E. & Hickey, R. J. (1990) Simultaneous measurement of free-living energy expenditure by the doubly labeled water method and heart-rate monitoring. American Journal of Clinical Nutrition 52, 5965.CrossRefGoogle ScholarPubMed
MacMahon, S., Peto, R., Cutler, J., Collins, R., Sorlie, P., Neaton, J., Abbott, R., Godwin, J., Dyer, A. & Stamler, J. (1990) Blood pressure, stroke and coronary heart disease: Part 1, prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias. Lancet 335, 765774.CrossRefGoogle ScholarPubMed
Miller, D. J., Freedson, P. S. & Kline, G. M. (1994) Comparison of activity levels using the Caltrac accelerometer and five questionnaires. Medicine and Science in Sports and Exercise 26, 376382.CrossRefGoogle ScholarPubMed
Paffenbarger, R. S., Blair, S. N., Lee, I.-M. & Hyde, R. T. (1993) Measurement of physical activity to assess health effects in free-living populations. Medicine and Science in Sports and Exercise 25, 6070.CrossRefGoogle ScholarPubMed
Payne, P. R., Wheeler, E. F. & Salvosa, C. B. (1971) Prediction of daily energy expenditure from average pulse rate. American Journal of Clinical Nutrition 24, 11641170.CrossRefGoogle ScholarPubMed
Prentice, A. M. & Jebb, S. A. (1995) Obesity in Britain: gluttony or sloth?. British Medical Journal 311, 437439.CrossRefGoogle ScholarPubMed
Racette, S. B., Schoeller, D. A. & Kushner, R. F. (1995) Comparison of heart rate and physical activity recall with doubly labelled water in obese women. Medicine and Science in Sports and Exercise 27, 126133.CrossRefGoogle ScholarPubMed
Richardson, M. T., Ainsworth, B. E., Wu, H.-C. & Jacobs, D. R. (1995) Ability of the Atherosclerosis risk in communities (ARIC)/Baeke questionnaire to assess leisure-time physical activity. International Journal of Epidemiology 24, 685693.CrossRefGoogle Scholar
Schulz, S., Westerterp, K. R. & Bruck, K. (1989) Comparison of energy expenditure by the doubly labeled water technique with energy intake, heart rate and activity recording in man. American Journal of Clinical Nutrition 49, 11461154.Google Scholar
Spurr, G. B., Dufour, D. L. & Reina, J. C. (1996) Energy expenditure of urban Colombian women: a comparison of patterns and total daily expenditure by the heart rate and factorial methods. American Journal of Clinical Nutrition 63, 870878.CrossRefGoogle ScholarPubMed
Spurr, G. B., Prentice, A. M., Murgatroyd, P. R., Goldberg, G. R., Reina, J. C. & Christman, N. T. (1988) Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry. American Journal of Clinical Nutrition 48, 552559.Google Scholar
Williams, E., Klesges, R. C., Hanson, C. L. & Eck, L. H. (1989) A prospective study of the reliability and convergent validity of three physical activity measures in a field research trial. Journal of Clinical Epidemiology 42, 11611170.CrossRefGoogle Scholar
World Health Organization (1985) Diabetes Mellitus. Technical Report Series no. 727Geneva:WHO.Google Scholar
Wolf, A. M., Hunter, D. J., Colditz, G. A., Manson, J. E., Stampfer, M. J., Corsano, K. A., Rosner, B., Kriska, A. & Willett, W. C. (1994) Reproducibility and validity of a self-administered physical activity questionnaire. International Journal of Epidemiology 23, 991999.CrossRefGoogle ScholarPubMed