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Comparison of the TriTrac-R3D accelerometer and a self-report activity diary with heart-rate monitoring for the assessment of energy expenditure in children

Published online by Cambridge University Press:  09 March 2007

G. Rodriguez ,
L. Béghin ,
L. Michaud ,
L. A. Moreno ,
D. Turck  and
F. Gottrand
G. Rodriguez
Affiliation:
Departamento de Pediatría. HCU 'Lozano Blesa', Zaragoza, Spain
L. Béghin
Affiliation:
Unité de Gastroentérologie, Hépatologie et Nutrition, Clinique de Pédiatrie, Hôpital Jeanne de Flandre, and Faculté de Médecine, Lille, France Centre d'Investigation Clinique CIC-9301-INSERM-CHU, Hôpital Cardiologique, Lille, France
L. Michaud
Affiliation:
Unité de Gastroentérologie, Hépatologie et Nutrition, Clinique de Pédiatrie, Hôpital Jeanne de Flandre, and Faculté de Médecine, Lille, France
L. A. Moreno
Affiliation:
EU Ciencias de la Salud, Universidad de Zaragoza, Zaragoza, Spain
D. Turck
Affiliation:
Unité de Gastroentérologie, Hépatologie et Nutrition, Clinique de Pédiatrie, Hôpital Jeanne de Flandre, and Faculté de Médecine, Lille, France
F. Gottrand*
Affiliation:
Unité de Gastroentérologie, Hépatologie et Nutrition, Clinique de Pédiatrie, Hôpital Jeanne de Flandre, and Faculté de Médecine, Lille, France
*
*Corresponding author:Professor F. Gottrand, fax +33 3 20 44 59 63, email [email protected]
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Abstract

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Determining total energy expenditure (EE) in children under free-living conditions has become of increasingly clinical interest. The aim of this study was to compare three different methods to assess EE triaxial accelerometry (TriTrac-R3D; Professional Products, Division of Reining International, Madison, WI, USA), activity diary and heart-rate (HR) monitoring combined with indirect calorimetry (IC). Twenty non-obese children and adolescents, aged 5.5 to 16.0 years, participated in this study. Results from the three methods were collected simultaneously under free-living conditions during the same 24 h schoolday period. Neither activity diary (5904 (SD 1756) KJ) NOR THE TRITRAC-R3D (6389 (sd 979) kJ) showed statistical differences in 24 h total EE compared with HR monitoring (5965 (sd 1911) kJ). When considering different physical activity (PA) periods, compared with HR monitoring, activity diary underestimates total EE during sedentary periods (P<0·001) and overestimates total EE and PA-EE during PA periods (P<0·001) because of the high energy cost equivalence of activity levels. The TriTrac-R3D, compared with HR monitoring, shows good agreement for assessing PA-EE during PA periods (mean difference +0·25 (sd 1·9) kJ/min; 95 % CI for the bias -0·08, 0·58), but underestimates PA-EE and it does not show good precision during sedentary periods (-0·87 (sd 1·4) kJ/min, P<0·001). Correlation between the vector magnitude generated by the TriTrac-R3D accelerometer and EE of activities derived from HR monitoring is high. When compared with the HR method, the TriTrac-R3D and activity diary are not systematically accurate and must be carefully used for the assessment of children's EE depending on the purpose of each study.

Keywords

Energy expenditureAccelerometryActivity diaryHeart-rate monitoringPhysical activity
Type
Research Article
Information
British Journal of Nutrition , Volume 87 , Issue 6 , June 2002 , pp. 623 - 631
Copyright
Copyright © The Nutrition Society 2002

References

Ainsworth, BE, Haskell, WL, Leon, AS, Jacobs, DR Jr, Montoye, HJ, Sallis, JF & Ptaffenberger, RS Jr (1993) Compendium of physical activities: classification of energy costs of human physical activities. Medicine and Science in Sports and Exercise 25, 71–80.CrossRefGoogle ScholarPubMed
Armstrong, N (1998) Young people's physical activity patterns as assessed by heart-rate monitoring. Journal of Sports Sciences 16, S9–S16.CrossRefGoogle ScholarPubMed
Atkins, S, Stratton, G, Dugdill, L & Reilly, T (1997) The free living physical activity of schoolchildren: A longitudinal study. In Children and Exercise XIX: Promoting Health and Well-Being, pp. 145–150 [Armstrong, N, Kirby, BJ and Welsman, JR, editors]. London: E & FN Spon.Google Scholar
Beghin, L, Budniok, T, Vaksman, G, Boussard-Delbecque, L, Michaud, L, Turck, D & Gottrand, F (2000) Simplification of the method of assessing daily and nightly energy expenditure in children, using heart-rate monitoring calibrated against open circuit indirect calorimetry. Clinical Nutrition 19, 425–435.CrossRefGoogle ScholarPubMed
Bitar, AM, Vermorel, M, Fellmann, N & Coudert, J (1995) Twenty-four-hour energy expenditure and its components in prepubertal children as determined by whole-body indirect calorimetry and compared with young adults. American Journal of Clinical Nutrition 62, 308–315.CrossRefGoogle ScholarPubMed
Bland, JM & Altman, DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1, 307–310.CrossRefGoogle ScholarPubMed
Bouchard, C, Tremblay, A, Leblanc, C, Lortie, G, Savard, R & Thérinault, G (1983) A method to assess energy expenditure in children and adults. American Journal of Clinical Nutrition 37, 461–467.CrossRefGoogle ScholarPubMed
Bouten, CV, Koekkoek, KTM, Verduin, M, Kodde, R & Janssen, JD (1997) A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Transactions on Biomedical Engineering 44, 136–147.CrossRefGoogle ScholarPubMed
Bouten, CV, Westerterp, KR, Verduin, M & Janssen, JD (1994) Assessment of energy expenditure for physical activity using a triaxial accelerometer. Medicine and Science in Sports and Exercise 26, 1516–1523.CrossRefGoogle ScholarPubMed
Bratteby, LE, Sandhagen, B, Fan, H & Samuelson, G (1997 a) A 7-day activity diary for assessment of daily energy expenditure validated by the doubly labelled water method in adolescents. European Journal of Clinical Nutrition 51, 585–591.CrossRefGoogle ScholarPubMed
Bratteby, LE, Sandhagen, B, Lötborn, M & Samuelson, G (1997 b) Daily energy expenditure and physical activity assessed by an activity diary in 374 randomly selected 15-year-old adolescents. European Journal of Clinical Nutrition 51, 592–600.CrossRefGoogle ScholarPubMed
Bray, MS, Morrow, JR, Pivarnik, JM & Bricker, JT (1992) Caltrac validity for estimating caloric expenditure with children. Pediatric Exercise Science 4, 166–179.CrossRefGoogle Scholar
Durnin, JVGA (1991) Practical estimates of energy requirements. Journal of Nutrition 121, 1907–1913.CrossRefGoogle ScholarPubMed
Epstein, LH, Paluch, RA, Coleman, KJ, Dominica, V & Anderson, K (1996) Determinants of physical activity in obese children assessed by accelerometer and self-report. Medicine and Science in Sports and Exercise 28, 1157–1164.CrossRefGoogle ScholarPubMed
Gottrand, F (1998) Mesure de la dépense énergétique dans les conditions habituelles de vie chez l'enfant (Energy expenditure assessment in children in free living conditions). Archieves de Pédiatrie 5, 1020–1022.CrossRefGoogle Scholar
Hemokinetics, Inc. (1993) TriTrac-R3D Research Ergometer Operations. Madison, WI: Hemokinetics, Inc.Google Scholar
Jakicic, JM, Winters, C, Lagally, K, Ho, J, Robertson, RJ & Wing, RR (1999) The accuracy of the TriTrac-R3D accelerometer to estimate energy expenditure. Medicine and Science in Sports and Exercise 31, 747–754.CrossRefGoogle ScholarPubMed
Livingstone, MBE, Coward, WA, Prenctice, AM, Davies, PSW, Strain, JJ, McKenna, PG, Mahoney, CA, White, JA, Stewart, CM & Kerr, MJJ (1992) Daily energy expenditure in free-living children: comparison of heart-rate monitoring with the (2H218O) doubly labelled water method. American Journal of Clinical Nutrition 56, 343–352.CrossRefGoogle Scholar
McCrory, MA, Molé, PA, Nommsen-Rivers, LA & Dewey, KG (1997) Between-day and within-day variability in the relation between heart-rate and oxygen consumption: effect on the estimation of energy expenditure by heart-rate monitoring. American Journal of Clinical Nutrition 66, 18–25.CrossRefGoogle ScholarPubMed
Matarese, LE (1997) Indirect calorimetry: Technical aspects. Journal of the American Dietetic Association 97, Suppl. 2, S154–S160CrossRefGoogle ScholarPubMed
Nichols, JF, Morgan, CG, Sarkin, JA, Sallis, JF & Calfas, KJ (1999) Validity, reliability, and calibration of the TriTrac accelerometer as a measure of physical activity. Medicine and Science in Sports and Exercisee 31, 908–912.CrossRefGoogle ScholarPubMed
Pols, MA, Peeters, PHM, Ocké, MC, Bueno-de-Mesquita, HB, Slimani, N, Kemper, HCG & Collette, HJA (1997) Relative validity and repeatability of a new questionnaire on physical activity. Preventive Medicine 26, 37–43.CrossRefGoogle ScholarPubMed
Sallis, JF (1991) Self-report measures of children's physical activity. Journal of School Health 61, 215–219.CrossRefGoogle ScholarPubMed
Schutz, Y & Deurenberg, P (1996) Energy metabolism: overview of recent methods used in human studies. Annals of Nutrition and Metabolism 40, 183–193.CrossRefGoogle ScholarPubMed
Turck, D & Michaud, L (1998) Cystic fibrosis: nutritional consequences and management. Baillère's Clinical Gastroenterology 12, 805–822.CrossRefGoogle ScholarPubMed
Weir, JB (1949) New methods for calculating metabolic rate with special reference to protein metabolism. Journal of Physiology 109, 1–9.CrossRefGoogle ScholarPubMed
Welk, GJ & Corbin, CB (1995) The validity of the TriTrac-R3D activity monitor for the assessment of physical activity in children. Research Quarterly for Exercise and Sport 66, 1–8.CrossRefGoogle ScholarPubMed
Westerterp, KR (1999) Physical activity assessment with accelerometers. International Journal of Obesity 23, Suppl. 3, S45–S49CrossRefGoogle ScholarPubMed
World Health Organization (1985) Energy and Protein Requirements. Report of a Joint FAO/WHO/UNU Expert Consultation. Technical Report Series no. 724 Geneva: WHO.Google Scholar