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Description and validation of the ActiReg®: a novel instrument to measure physical activity and energy expenditure

Published online by Cambridge University Press:  09 March 2007

Bo-Egil Hustvedt*
Affiliation:
Institute for Nutrition Research, University of Oslo, Norway
Alf Christophersen
Affiliation:
Institute for Nutrition Research, University of Oslo, Norway
Lene R. Johnsen
Affiliation:
Institute for Nutrition Research, University of Oslo, Norway
Heidi Tomten
Affiliation:
Institute for Nutrition Research, University of Oslo, Norway
Geraldine McNeill
Affiliation:
Rowett Research Institute, Greenburn Road, Bucksburn, Aberdeen AB25 2ZD, UK
Paul Haggarty
Affiliation:
Rowett Research Institute, Greenburn Road, Bucksburn, Aberdeen AB25 2ZD, UK
Arne Løvø
Affiliation:
Institute for Nutrition Research, University of Oslo, Norway
*
*Corresponding author: Dr Bo-Egil Hustvedt, fax +47 228 51532, email b.e.hustvedt@basalmed.uio.no
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Abstract

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The ActiReg® (PreMed AS, Oslo, Norway) system is unique in using combined recordings of body position and motion alone or combined with heart rate (HR) to calculate energy expenditure (EE) and express physical activity (PA). The ActiReg® has two pairs of position and motion sensors connected by cables to a battery-operated storage unit fixed to a waist belt. Each pair of sensors was attached by medical tape to the chest and to the front of the right thigh respectively. The collected data were transferred to a personal computer and processed by a dedicated program ActiCalc®. Calculation models for EE with and without HR are presented. The models were based on literature values for the energy costs of different activities and therefore require no calibration experiments. The ActiReg® system was validated against doubly labelled water (DLW) and indirect calorimetry. The DLW validation demonstrated that neither EE calculated from ActiReg® data alone (EEAR) nor from combined ActiReg® and HR data (EEAR–HR) were statistically different from DLW results. The EEAR procedure causes some underestimation of EE >11 MJ corresponding to a PA level >2·0. This underestimation is reduced by the EEAR–HR procedure. The objective recording of the time spent in different body positions and at different levels of PA may be useful in studies of PA in different groups and in studies of whether recommendations for PA are being met. The comparative ease of data collection and calculation should make ActiReg® a useful instrument to measure habitual PA level and EE.

Type
Review Article
Copyright
Copyright © The Nutrition Society 2004

References

Ainsworth, BE, Bassett, DR Jr, Strath, SJ, Swartz, AM, O'Brien, WL, Thompson, RW, Jones, DA, Macera, CA & Kimsey, CD (2000 a) Comparison of three methods for measuring the time spent in physical activity. Med Sci Sports Exerc 32, S457S464.CrossRefGoogle ScholarPubMed
Ainsworth, BE, Haskell, WL, Leon, AS, Jacobs, DR Jr, Montoye, HJ, Sallis, JF & Paffenbarger, RS Jr (1993) Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc 25, 7180.Google Scholar
Ainsworth, BE, Haskell, WL & Whitt, MC et al. (2000 b) Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 32, S498S504.CrossRefGoogle ScholarPubMed
Bisdee, JT, James, WP & Shaw, MA (1989) Changes in energy expenditure during the menstrual cycle. Br J Nutr 61, 187199.Google Scholar
Black, AE, Prentice, AM & Coward, WA (1986) Use of food quotients to predict RQs for the doubly-labelled water method of measuring energy expenditure. Hum Nutr Clin Nutr 40, 381391.Google ScholarPubMed
Bland, JM & Altman, DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307310.CrossRefGoogle ScholarPubMed
Brage, S, Brage, N, Franks, PW, Ekelund, U, Wong, MY, Andersen, LB, Froberg, K & Wareham, NJ (2003 a) Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. J Appl Physiol 96, 343351.CrossRefGoogle ScholarPubMed
Brage, S, Wedderkopp, N, Franks, PW, Bo, AL & Froberg, K (2003 b) Reexamination of validity and reliability of the CSA monitor in walking and running. Med Sci Sports Exerc 35, 14471454.Google Scholar
Consolazio, CF, Nelson, RA, Daws, TA, Krzywicki, HJ, Johnson, HL & Barnhart, RA (1971) Body weight, heart rate, and ventilatory volume relationships to oxygen uptakes. Am J Clin Nutr 24, 11801185.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.Google Scholar
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, 275281.Google Scholar
Food and Agriculture Organization/World Health Organization/United Nations University (1985) Energy and Protein Requirements. World Health Organization Technical Report Series no. 724 Geneva: WHO.Google Scholar
Freedson, PS & Miller, K (2000) Objective monitoring of physical activity using motion sensors and heart rate. Res Q Exerc Sport 71, S21S29.Google Scholar
Haggarty, P, Franklin, MF, Fuller, MF, McGaw, BA, Milne, E, Duncan, G, Christie, SL & Smith, JS (1994 a) Validation of the doubly labeled water method in growing pigs. Am J Physiol 267, R1574R1588.Google ScholarPubMed
Haggarty, P, McNeill, G, Manneh, MK, Davidson, L, Milne, E, Duncan, G & Ashton, J (1994 b) The influence of exercise on the energy requirements of adult males in the UK. Br J Nutr 72, 799813.Google Scholar
Haggarty, P, Valencia, ME & McNeill, G et al. (1997) Energy expenditure during heavy work and its interaction with body weight. Br J Nutr 77, 359373.CrossRefGoogle Scholar
Haskell, WL (1994) J.B. Wolffe Memorial Lecture. Health consequences of physical activity: understanding and challenges regarding dose-response. Med Sci Sports Exerc 26, 649660.CrossRefGoogle ScholarPubMed
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, 109115.CrossRefGoogle ScholarPubMed
Healey, J (2000) Future possibilities in electronic monitoring of physical activity. Res Q Exerc Sport 71, S137S145.CrossRefGoogle ScholarPubMed
International Atomic Energy Agency (1990) International Dietary Energy Consultative Group Report. The Doubly Labelled Water Method for Measuring Energy Expenditure. Technical Recommendations for Use in Humans. Vienna: IAEAGoogle Scholar
James, WP, Ferro-Luzzi, A & Waterlow, JC (1988) Definition of chronic energy deficiency in adults. Report of a working party of the International Dietary Energy Consultative Group. Eur J Clin Nutr 42, 969981.Google Scholar
Lamonte, MJ & Ainsworth, BE (2001) Quantifying energy expenditure and physical activity in the context of dose response. Med Sci Sports Exerc 33, S370S378.Google Scholar
Leenders, NYJM, Sherman, WM & Nagaraja, HN (2000) Comparisons of four methods of estimating physical activity in adult women. Med Sci Sports Exerc 32, 13201326.CrossRefGoogle Scholar
Leenders, NYJM, Sherman, WM, Nagaraja, HN & Kien, CL (2001) Evaluation of methods to assess physical activity in free-living conditions. Med Sci Sports Exerc 33, 12331240.CrossRefGoogle ScholarPubMed
McNeill, G, McBride, A, Smith, JS & James, WPT (1989) Energy expenditure in large and small eaters. Nutr Res 9, 363372.CrossRefGoogle Scholar
Pate, RR, Pratt, M, Blair, SN, Haskell, WL, Macera, CA, Bouchard, C, Buchner, D, Ettinger, W, Heath, GW & King, AC (1995) Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. J Am Med Assoc 273, 402407.CrossRefGoogle Scholar
Schmidt, MD, Freedson, PS & Chasan-Taber, L (2003) Estimating physical activity using the CSA accelerometer and a physical activity log. Med Sci Sports Exerc 35, 16051611.Google Scholar
Schutz, Y, Weinsier, S, Terrier, P & Durrer, D (2002) A new accelerometric method to assess the daily walking practice. Int J Obes Relat Metab Disord 26, 111118.CrossRefGoogle ScholarPubMed
Spurr, GB, Prentice, AM, Murgatroyd, PR, Goldberg, GR, Reina, JC & Christman, NT (1988) Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry. Am J Clin Nutr 48, 552559.CrossRefGoogle ScholarPubMed
Surgeon General's Report (1996) Physical Activity and Health. 1265 Atlanta, GA Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health PromotionGoogle Scholar
Trost, SG, Ward, DS, Moorehead, SM, Watson, PD, Riner, W & Burke, JR (1998) Validity of the computer science and applications (CSA) activity monitor in children. Med Sci Sports Exerc 30, 629633.Google Scholar
Weir, JB (1949) New methods for calculating metabolic rate with special reference to protein metabolism. Nutrition 6, 213221.Google Scholar
Welk, GJ, Blair, SN, Wood, K, Jones, S & Thompson, RW (2000) A comparative evaluation of three accelerometry-based physical activity monitors. Med Sci Sports Exerc 32, S489S497.Google Scholar
Zhang, K, Pi-Sunyer, FX & Boozer, CN (2004) Improving energy expenditure estimation for physical activity. Med Sci Sports Exerc 36, 883889.CrossRefGoogle ScholarPubMed
Zhang, K, Werner, P, Sun, M, Pi-Sunyer, FX & Boozer, CN (2003) Measurement of human daily physical activity. Obes Res 11, 3340.CrossRefGoogle ScholarPubMed