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Accelerometry combined with heart rate telemetry in the assessment of total energy expenditure

Published online by Cambridge University Press:  08 March 2007

H. Patrik Johansson ,
Lena Rossander-Hulthén ,
Frode Slinde  and
Björn Ekblom
H. Patrik Johansson*
Affiliation:
Stockholm University College of Physical Education and SportsThe Åstrand Laboratory of Work PhysiologySweden Karolinska InstitutetDepartment of Physiology and Pharmacology, Stockholm, Sweden
Lena Rossander-Hulthén
Affiliation:
Sahlgrenska Academy at Göteborg UniversityDepartment of Clinical Nutrition, GöteborgSweden
Frode Slinde
Affiliation:
Sahlgrenska Academy at Göteborg UniversityDepartment of Clinical Nutrition, GöteborgSweden
Björn Ekblom
Affiliation:
Stockholm University College of Physical Education and SportsThe Åstrand Laboratory of Work PhysiologySweden Karolinska InstitutetDepartment of Physiology and Pharmacology, Stockholm, Sweden
*
*Corresponding author: fax+46 8 660 75 11, Patrik.Johansson@gih.se
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Abstract

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The aim of the present study was: (1) to develop a new method for total energy expenditure (TEE) assessment, using accelerometry (ACC) and heart rate (HR) telemetry in combination; (2) to validate the new method against the criterion measure (DLW) and to compare with two of the most common methods, FLEX-HR and ACC alone. In the first part of the study VO2, HR and ACC counts were measured in twenty-seven subjects during walking and running on a treadmill. Considering the advantages and disadvantages of the HR and ACC methods an analysis model was developed, using ACC at intensities of low and medium levels and HR at higher intensities. During periods of inactivity, RMR is used. A formula for determining TEE from ACC, HR and RMR was developed: TEE =1·1×(EQHR×TTHR+EQACC1×TTACC1+EQACC2×TTACC2+RMR×TTRMR). In the validation part of the study a sub-sample of eight subjects wore an accelerometer, HR was logged and TEE was measured for 14d with the DLW method. Analysis of the Bland–Altman plots with 95% CI indicates that there are no significant differences in TEE estimated with HR–ACC and ACC alone compared with TEE measured with DLW. It is concluded that the HR–ACC combination as well as ACC alone has potential as a method for assessment of TEE during free-living activities as compared with DLW

Keywords

Physical activityMotion sensorFLEX heart rateFLEX heart rate
Type
Research Article
Information
British Journal of Nutrition , Volume 95 , Issue 3 , March 2006 , pp. 631 - 639
Copyright
Copyright © The Nutrition Society 2006

References

Åstrand, PO & Rodahl, KTextbook of Work Physiology: Physiological Bases of Exercise. Singapore: McGraw-Hill Book Company. 1986Google Scholar
Atkinson, G & Nevill, AM 1998 Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 26, 217–238.CrossRefGoogle ScholarPubMed
Bland, JM & Altman, DG 1986 Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307–310.Google Scholar
Brage, S, Brage, N, Franks, PW, Ekelund, U, Wong, MY, Andersen, LB, Froberg, K & Wareham, NJ 2004 Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. J Appl Physiol 96, 343–351.Google Scholar
Brage, S, Wedderkopp, N, Franks, PW, Bo, Andersen L & Froberg, K 2003 Reexamination of validity and reliability of the CSA monitor in walking and running. Med Sci Sports Exerc 35, 1447–1454.CrossRefGoogle ScholarPubMed
Brodie, DA & Stewart, AD 1999 Body composition measurement: a hierarchy of methods. J Pediatr Endocrinol Metab 12, 801–816.Google Scholar
Ceesay, SM, Prentice, AM, Day, KC, Murgatroyd, PR, Goldberg, GR, Scott, W & Spurr, GB 1989 The use of heart rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry. Br J Nutr 61, 175–186.Google Scholar
Davidson, L, McNeill, G, Haggarty, P, Smith, JS & Franklin, MF 1997 Free-living energy expenditure of adult men assessed by continuous heart-rate monitoring and doubly-labelled water. Br J Nutr 78, 695708.CrossRefGoogle ScholarPubMed
Ekelund, U, Sjostrom, M, Yngve, A, Poortvliet, E, Nilsson, A, Froberg, K, Wedderkopp, N & Westerterp, K 2001 Physical activity assessed by activity monitor and doubly labeled water in children. Med Sci Sports Exerc 33, 275–281.CrossRefGoogle ScholarPubMed
Emons, HJ, Groenenboom, DC, Westerterp, KR & Saris, WH 1992 Comparison of heart rate monitoring combined with indirect calorimetry and the doubly labelled water (2H2(18)O) method for the measurement of energy expenditure in children. Eur J Appl Physiol Occup Physiol 65, 99–103.CrossRefGoogle Scholar
Eston, RG, Rowlands, AV & Ingledew, DK 1998 Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children's activities. J Appl Physiol 84, 362–371.CrossRefGoogle ScholarPubMed
Farahmand, BY, Ahlbom, A, Ekblom, O, Ekblom, B, Hallmarker, U, Aronson, D & Brobert, GP 2003 Mortality amongst participants in Vasaloppet: a classical long-distance ski race in Sweden. J Intern Med 253, 276–283.Google Scholar
Freedson, PS, Melanson, E & Sirard, J 1998 Calibration of the Computer Science and Applications Inc. accelerometer. Med Sci Sports Exerc 30, 777–781.Google Scholar
Haskell, WL, Yee, MC, Evans, A & Irby, PJ 1993 Simultaneous measurement of heart rate and body motion to quantitate physical activity. Med Sci Sports Exerc 25, 109–115.Google Scholar
Heini, AF, Minghelli, G, Diaz, E, Prentice, AM & Schutz, Y 1996 Freeliving energy expenditure assessed by two different methods in rural Gambian men. Eur J Clin Nutr 50, 284–289.Google Scholar
Heini, A, Schutz, Y, Diaz, E, Prentice, AM, Whitehead, RG & Jequier, E 1991 Free-living energy expenditure measured by two independent techniques in pregnant and nonpregnant Gambian women. Am J Physiol 261, E9–E17.Google ScholarPubMed
International Atomic Energy Agency.International Dietary Energy Consultancy Group The Doubly-labelled Water Method for Measuring Energy Expenditure. Technical Recommendations for Use in Humans. NAHRES-4. Vienna: IAEA 1990Google Scholar
Jensen, K, Jorgensen, S & Johansen, L 2002 A metabolic cart for measurement of oxygen uptake during human exercise using inspiratory flow rate. Eur J Appl Physiol 87, 202–206.Google Scholar
Johnson, RK, Russ, J & Goran, MI 1998 Physical activity related energy expenditure in children by doubly labeled water as compared with the Caltrac accelerometer. Int J Obes Relat Metab Disord 22, 1046–1052.CrossRefGoogle ScholarPubMed
Lee, IM, Sesso, HD & Paffenbarger, RS Jr 2000 Physical activity and coronary heart disease risk in men: does the duration of exercise episodes predict risk?. Circulation 102, 981–986.CrossRefGoogle ScholarPubMed
Leenders, NY, Nelson, TE & Sherman, WM 2003 Ability of different physical activity monitors to detect movement during treadmill walking. Int J Sports Med 24, 43–50.CrossRefGoogle ScholarPubMed
Leenders, NY, Sherman, WMNagaraja, HN & Kien, CL 2001 Evaluation of methods to assess physical activity in free-living conditions. Med Sci Sports Exerc 33, 1233–1240.CrossRefGoogle ScholarPubMed
Manufacturing Technology Inc Actigraph Operator's Manual Model 7164 ver 2.2. Fort Walton Beach, FL: MTI. 2003Google Scholar
Melanson, EL Jr & Freedson, PS 1995 Validity of the Computer Science and Applications Inc. (CSA) activity monitor. Med Sci Sports Exerc 27, 934–940.Google Scholar
Montoye, HJ, Saris, WH, Kemper, HC & Washburn, RAMeasuring Physical Activity and Energy Expenditure. Champaign, IL: Human Kinetics. 1996Google Scholar
Poehlman, ET 1989 A review: exercise and its influence on resting energy metabolism in man. Med Sci Sports Exerc 21, 515–525.Google Scholar
Rennie, K, Rowsell, T, Jebb, SA, Holburn, D & Wareham, NJ 2000 A combined heart rate and movement sensor: proof of concept and preliminary testing study. Eur J Clin Nutr 54, 409–414.Google Scholar
Rowlands, AV, Thomas, PWM, Eston, RG & Topping, R 2004 Validation of the RT3 Triaxial Accelerometer for the assessment of physical activity. Med Sci Sports Exerc 36, 518–524.CrossRefGoogle ScholarPubMed
Seale, JL & Conway, JM 1999 Relationship between overnight energy expenditure and BMR measured in a room-sized calorimeter. Eur J Clin Nutr 53, 107–111.Google Scholar
Seale, JL, Conway, JM & Canary, JJ 1993 Seven-day validation of doubly labeled water method using indirect room calorimetry. J Appl Physiol 74, 402–409.Google Scholar
Siri, WEThe Gross Composition of the Body. New York: Academic Press. 1956CrossRefGoogle ScholarPubMed
Slinde, F, Ellegard, L, Gronberg, AM, Larsson, S & Rossander-Hulthen, L 2003 Total energy expenditure in underweight patients with severe chronic obstructive pulmonary disease living at home. Clin Nutr 22, 159–165.CrossRefGoogle ScholarPubMed
Strath, SJ, Bassett, DR Jr, Thompson, DL & Swartz, AM 2002 Validity of the simultaneous heart rate-motion sensor technique for measuring energy expenditure. Med Sci Sports Exerc 34. 888–894.Google Scholar
Thune, I & Furberg, AS 2001 Physical activity and cancer risk: dose – response and cancer, all sites and site-specific. Med Sci Sports Exerc 33, S530–S550, discussionS609–S510.Google Scholar
Trost, SG, Ward, DS, Moorehead, SM, Watson, PDRiner, W & Burke, JR, 1998 Validity of the computer science and applications (CSA) activity monitor in children. Med Sci Sports Exerc 30, 629–633.Google Scholar
Weir, JB 1990 New methods for calculating metabolic rate with special reference to protein metabolism. 1949.. Nutrition 6, 213–221.Google Scholar
Westerterp, KR, Brouns, F, Saris, WH & ten Hoor, F 1988 Comparison of doubly labeled water with respirometry at low- and high-activity levels. J Appl Physiol 65, 5356.Google Scholar
World Health Organization Diet, Nutrition and the Prevention of Chronic Diseases Geneva: WHO. 2003Google Scholar