Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity (Journal of Applied Physiology (2007) 103, (682-692) DOI: 10.1152/japplphysiol.00092.2006);Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity

Journal of Applied Physiology

Volumn 103, Issue 2, 2007, Pages 682-692

  Brage, Søren ^a   Ekelund, Ulf ^a   Brage, Niels ^b   Hennings, Mark A ^a,c   Froberg, Karsten ^b   Franks, Paul W ^a,d   Wareham, Nicholas J ^a  

^a MRC EPIDEMIOLOGY UNIT   (United Kingdom)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d UMEÅ UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Accelerometry; Energy expenditure; Heart rate variability; Monitoring; Movement sensor

Indexed keywords

ACCELEROMETRY; ADULT; ARTICLE; CALIBRATION; CALORIMETRY; CONTROLLED STUDY; ENERGY EXPENDITURE; FEMALE; HEART RATE; HUMAN; MALE; NORMAL HUMAN; PHYSICAL ACTIVITY; PRIORITY JOURNAL; SEX DIFFERENCE; SLEEP; TREADMILL EXERCISE; VALIDATION PROCESS; WALKING;

EID: 34547638413     PISSN: 87507587     EISSN: 15221601     Source Type: Journal    
DOI: 10.1152/japplphysiol.zdg-8474-corr.2009     Document Type: Erratum

References (67)

1. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J 17: 354-381, 1996.
2. Andrews RB. Net heart rate as a substitute for respiratory calorimetry. Am J Clin Nutr 24: 1139-1147, 1971.
3. Avons P, Garthwaite P, Davies HL, Murgatroyd PR, James WP. Approaches to estimating physical activity in the community: calorimetric validation of actometers and heart rate monitoring. Eur J Clin Nutr 42: 185-196, 1988.
4. Berntson GG, Quigley KS, Jang JF, Boysen ST. An approach to artifact identification: application to heart period data. Psychophysiology 27: 586-598, 1990.
5. Berntson GG, Stowell JR. ECG artifacts and heart period variability: don't miss a beat! Psychophysiology 35: 127-132, 1998.
6. Blair SN, Kohl HW 3rd, Paffenbarger RS Jr, Clark DG, Cooper KH, Gibbons LW. Physical fitness and all-cause mortality. A prospective study of healthy men and women. JAMA 262: 2395-2401, 1989.
7. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1: 307-310, 1986.
8. Bogaard HJ, Woltjer HH, van Keimpema AR, Postmus PE, de Vries PM. Prediction of peak oxygen uptake in men using pulmonary and hemodynamic variables during exercise. Med Sci Sports Exerc 32: 701-705, 2000.
9. Brage S, Brage N, Ekelund U, Luan J, Franks PW, Froberg K, Wareham NJ. Effect of combined movement and heart rate monitor placement on physical activity estimates during treadmill locomotion and free-living. Eur J Appl Physiol 96: 517-524, 2006.
10. Brage S, Brage N, Franks PW, Ekelund U, Wareham NJ. Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr 59: 561-570, 2005.
11. Brage S, Brage N, Franks PW, Ekelund U, Wong MY, Andersen LB, Froberg K, Wareham NJ. 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, 2004.
12. Brage S, Wedderkopp N, Franks PW, Andersen LB, Froberg K. Reexamination of validity and reliability of the CSA monitor in walking and running. Med Sci Sports Exerc 35: 1447-1454, 2003.
13. Campbell KL, Crocker PR, McKenzie DC. Field evaluation of energy expenditure in women using Tritrac accelerometers. Med Sci Sports Exerc 34: 1667-1674, 2002.
14. Ceesay SM, Prentice AM, Day KC, Murgatroyd PR, Goldberg GR, Scott W, Spurr GB. 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, 1989.
15. Chen KY, Sun M. Improving energy expenditure estimation by using a triaxial accelerometer. J Appl Physiol 83: 2112-2122, 1997.
16. Cox MH, Thomas SG, Weller IM, Corey P. Reliability and validity of a fitness assessment for epidemiological studies. Can J Sport Sci 17: 49-55, 1992.
17. Dempsey JA, Reddan WG, Birnbaum ML, Forster HV, Thoden JS, Grover RF, Rankin J. Effects of acute through life-long hypoxic exposure on exercise pulmonary gas exchange. Respir Physiol 13: 62-89, 1971.
18. 2 content. J Appl Physiol 65: 473-477, 1988.
19. Dugas LR, van der ML, Odendaal H, Noakes TD, Lambert EV. A novel energy expenditure prediction equation for intermittent physical activity. Med Sci Sports Exerc 37: 2154-2161, 2005.
20. Ekelund U, Aman J, Westerterp K. Is the ArteACC index a valid indicator of free-living physical activity in adolescents? Obes Res 11: 793-801, 2003.
21. Ekelund U, Brage S, Franks PW, Hennings S, Emms S, Wareham NJ. Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians: the Medical Research Council Ely Study. Diabetes Care 28: 1195-1200, 2005.
22. Fick A. über die Messung des Blutquantums in den Herzventrikeln. Würzburg Physikalische Medizinische Gesellschaft 2: 16, 1870.
23. Frankenfield DC, Rowe WA, Smith JS, Cooney RN. Validation of several established equations for resting metabolic rate in obese and nonobese people. J Am Diet Assoc 103: 1152-1159, 2003.
24. 2 max. Med Sci Sports Exerc 35: 1998-2004, 2003.
25. Franks PW, Ekelund U, Brage S, Wong MY, Wareham NJ. Does the association of habitual physical activity with the metabolic syndrome differ by level of cardiorespiratory fitness? Diabetes Care 27: 1187-1193, 2004.
26. Harrell FEJ. Regression Modeling Strategies. With Application to Linear Models, Logistic Regression, and Survival Analysis. Berlin: Springer, 2001.
27. Haskell WL, Yee MC, Evans A, Irby PJ. Simultaneous measurement of heart rate and body motion to quantitate physical activity. Med Sci Sports Exerc 25: 109-115, 1993.
28. Hiiloskorpi HK, Pasanen ME, Fogelholm MG, Laukkanen RM, Manttari AT. Use of heart rate to predict energy expenditure from low to high activity levels. Int J Sports Med 24: 332-336, 2003.
29. Hiiloskorpi H, Fogelholm M, Laukkanen R, Pasanen M, Oja P, Manttari A, Natri A. Factors affecting the relation between heart rate and energy expenditure during exercise. Int J Sports Med 20: 438-443, 1999.
30. Johansson PH, Rossander-Hulthen L, Slinde F, Ekblom B. Accelerometry combined with heart rate telemetry in the assessment of total energy expenditure. Br J Nutr 95: 631-639, 2006.
31. Katzmarzyk PT, Perusse L, Rao DC, Bouchard C. Familial risk ratios for high and low physical fitness levels in the Canadian population. Med Sci Sports Exerc 32: 614-619, 2000.
32. Keytel LR, Goedecke JH, Noakes TD, Hiiloskorpi H, Laukkanen R, van der ML, Lambert EV. Prediction of energy expenditure from heart rate monitoring during submaximal exercise. J Sports Sci 23: 289-297, 2005.
33. Laaksonen DE, Lakka HM, Salonen JT, Niskanen LK, Rauramaa R, Lakka TA. Low levels of leisure-time physical activity and cardiorespiratory fitness predict development of the metabolic syndrome. Diabetes Care 25: 1612-1618, 2002.
34. Latin RW, Elias BA. Predictions of maximum oxygen uptake from treadmill walking and running. J Sports Med Phys Fitness 33: 34-39, 1993.
35. Livingstone MB, Prentice AM, Coward WA, Ceesay SM, Strain JJ, McKenna PG, Nevin GB, Barker ME, Hickey RJ. Simultaneous measurement of free-living energy expenditure by the doubly labeled water method and heart-rate monitoring. Am J Clin Nutr 52: 59-65, 1990.
36. Loeppky JA, Luft UC, Fletcher ER. Quantitative description of whole blood CO2 dissociation curve and Haldane effect. Respir Physiol 51: 167-181, 1983.
37. Lonsdorfer J, Bogui P, Otayeck A, Bursaux E, Poyart C, Cabannes R. Cardiorespiratory adjustments in chronic sickle cell anemia. Bull Eur Physiopath Respir 19: 339-344, 1983.
38. 482Ser) predicts exceptional endurance capacity in European men. J Appl Physiol 99: 344-348, 2005.
39. Luke A, Maki KC, Barkey N, Cooper R, McGee D. Simultaneous monitoring of heart rate and motion to assess energy expenditure. Med Sci Sports Exerc 29: 144-148, 1997.
40. Lundby C, Calbet JA, van HG, Saltin B, Sander M. Pulmonary gas exchange at maximal exercise in Danish lowlanders during 8 wk of acclimatization to 4,100 m and in high-altitude Aymara natives. Am J Physiol Regul Integr Comp Physiol 287: R1202-R1208, 2004.
41. McNames J, Aboy M. Reliability and accuracy of heart rate variability metrics versus ECG segment duration. Med Biol Eng Comput 44: 747-756, 2006.
42. Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr 51: 241-247, 1990.
43. Moon JK, Butte NF. Combined heart rate and activity improve estimates of oxygen consumption and carbon dioxide production rates. J Appl Physiol 81: 1754-1761, 1996.
44. Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng 32: 230-236, 1985.
45. Parati G, Mancia G, Rienzo MD, Castiglioni P, Taylor JA, Studinger P. Point/counterpoint: cardiovascular variability is/is not an index of autonomic control of circulation. J Appl Physiol 101: 676-682, 2006.
46. Perrin O, Terrier P, Ladetto Q, Merminod B, Schutz Y. Improvement of walking speed prediction by accelerometry and altimetry, validated by satellite positioning. Med Biol Eng Comput 38: 164-168, 2000.
47. Rennie K, Rowsell T, Jebb SA, Holburn D, Wareham NJ. A combined heart rate and movement sensor: proof of concept and preliminary testing study. Eur J Clin Nutr 54: 409-414, 2000.
48. Rennie KL, Hennings SJ, Mitchell J, Wareham NJ. Estimating energy expenditure by heart-rate monitoring without individual calibration. Med Sci Sports Exerc 33: 939-945, 2001.
49. Rietjens GJ, Kuipers H, Kester AD, Keizer HA. Validation of a computerized metabolic measurement system (Oxycon-Pro) during low and high intensity exercise. Int J Sports Med 22: 291-294, 2001.
50. Schmitz KH, Treuth M, Hannan P, McMurray R, Ring KB, Catellier D, Pate R. Predicting energy expenditure from accelerometry counts in adolescent girls. Med Sci Sports Exerc 37: 155-161, 2005.
51. Siconolfi SF, Garber CE, Lasater TM, Carleton RA. A simple, valid step test for estimating maximal oxygen uptake in epidemiologic studies. Am J Epidemiol 121: 382-390, 1985.
52. Strath SJ, Bassett DR Jr, Swartz AM, Thompson DL. Simultaneous heart rate-motion sensor technique to estimate energy expenditure. Med Sci Sports Exerc 33: 2118-2123, 2001.
53. Strath SJ, Bassett DR Jr, Thompson DL, Swartz AM. Validity of the simultaneous heart rate-motion sensor technique for measuring energy expenditure. Med Sci Sports Exerc 34: 888-894, 2002.
54. Strath SJ, Brage S, Ekelund U. Integration of physiological and accelerometer data to improve physical activity assessment. Med Sci Sports Exerc 37: S563-S571, 2005.
55. Strath SJ, Swartz AM, Bassett DR, O'Brien WL, King GA, Ainsworth BE. Evaluation of heart rate as a method for assessing moderate intensity physical activity. Med Sci Sports Exerc 32: S465-S470, 2000.
56. Tanaka H, Monahan KD, Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol 37: 153-156, 2001.
57. Terrier P, Aminian K, Schutz Y. Can accelerometry accurately predict the energy cost of uphill/downhill walking? Ergonomics 44: 48-62, 2001.
58. Thompson D, Batterham AM, Bock S, Robson C, Stokes K. Assessment of low-to-moderate intensity physical activity thermogenesis in young adults using synchronized heart rate and accelerometry with branched-equation modeling. J Nutr 136: 1037-1042, 2006.
59. Treuth MS, Adolph AL, Butte NF. Energy expenditure in children predicted from heart rate and activity calibrated against respiration calorimetry. Am J Physiol Endocrinol Metab 275: E12-E18, 1998.
60. Wareham NJ, Hennings SJ, Prentice AM, Day NE. 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. Br J Nutr 78: 889-900, 1997.
61. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 109: 1-9, 1949.
62. Weller IM, Thomas SG, Corey PN, Cox MH. Prediction of maximal oxygen uptake from a modified Canadian aerobic fitness test. Can J Appl Physiol 18: 175-188, 1993.
63. Weller IM, Thomas SG, Gledhill N, Paterson D, Quinney A. A study to validate the modified Canadian Aerobic Fitness Test. Can J Appl Physiol 20: 211-221, 1995.
64. Wickstrom G, Bendix T. The "Hawthorne effect" - what did the original Hawthorne studies actually show? Scand J Work Environ Health 26: 363-367, 2000.
65. Withers RT, LaForgia J, Pillans RK, Shipp NJ, Chatterton BE, Schultz CG, Leaney F. Comparisons of two-, three-, and four-compartment models of body composition analysis in men and women. J Appl Physiol 85: 238-245, 1998.
66. Zhang K, Pi-Sunyer FX, Boozer CN. Improving energy expenditure estimation for physical activity. Med Sci Sports Exerc 36: 883- 889, 2004.
67. Zhang K, Werner P, Sun M, Pi-Sunyer FX, Boozer CN. Measurement of human daily physical activity. Obes Res 11: 33-40, 2003.