This study evaluated the ability to use the relationship between heart rate (HR) and oxygen uptake (V˙O2) to estimate energy expenditure during physical activity (AEE). General prediction equations were established based on the individual relations between HR and AEE. Forty-two women, (mean age 38.1 [SD 9.8] years, BMI 23.9 [SD 4.4]), and 45 men (40.3 [SD 9.2] years, BMI 24.7 [SD 2.9]), carried out two incremental tests, one with a cycle ergometer and another on a treadmill. Subjects also performed a 10 minute steady-state exercise, cycling and walking. Respiratory gases were obtained from indirect calorimetry. AEE was calculated from V˙O2 and carbon dioxide production (V˙CO2). The predicted AEE was compared with the AEE measured during the steady-state exercise. Using the generalised linear model, two alternative models were found to predict AEE and HR. The first showed a three-way interaction between HR, body weight and gender (p = 0.022) and also between HR age and gender (p = 0.083). The second produced a three-way interaction between HR, body weight and gender (p = 0.057). For cycling and walking, respectively, the predicted AEE overestimated the actual AEE by 17.7 (SD 23.2)% and 6.2 (SD 19.3)% in the first model and by 17.9 (SD 22.7)% and 6.6 (SD 19.8)% in the second during the steady-state exercise. It was concluded that at least gender and body weight should be included when HR is used to predict AEE.
Key words:
Energy expenditure - prediction equation - physical activity - exercise - interaction - health promotion
References
-
1
Ballor D L, Burke L M, Knudson D V, Olson J R, Montoye H J.
Comparison of three methods of estimating energy expenditure: caltrac, heart rate, and video analysis.
Res Q Exerc Sport.
1989;
4
362-8
-
2
Blair S N, Kohl W K, Paffenbarger R S, Clark G, Cooper K H, Gibbons L W.
Physical fitness and all-cause mortality: a prospective study of healthy men and women.
JAMA.
1989;
262
2395-401
-
3
Bray M S, Wong W W, Morrow J R, Butte N F, Pivarnik J M.
Caltrac versus calorimeter determination of 24 h energy expenditure in female children and adolescents.
Med Sci Sports Exerc.
1994;
26
1524-30
-
4
Ceesay S M, Prentice A M, Day K C, Murgatroyd P R, Goldberg G R, Scott W, Spurr G B.
The use of heart-rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry.
Br J Nutr.
1989;
61
175-86
-
5 Diggle P J, Liang K Y, Zeger S L. Analysis of Longitudinal Data. New York,; Oxford University Press Inc., 1994
-
6
Fogelholm M, Hiilloskorpi H, Laukkanen R, Oja P, Lichtenbelt W M, Westerterp K.
Assessment of energy expenditure in overweight women.
Med Sci Sports Exerc.
1998;
30, No. 8
1191-7
-
7
Haskell W L, Yee M C, Evans A, Irby P J.
Simultaneous measurement of heart rate monitoring in children.
Med Sci Sports Exerc.
1993;
25
389-95
-
8
Haymes E M, Byrnes W C.
Walking and running energy expenditure estimated by caltrac and indirect calorimetry.
Med Sci Sports Exerc.
1993;
12
1365-9
-
9
Jackson A S, Blair S N, Mahar M T, Wier L T, Ross M, Stuteville J E.
Prediction of functional aerobic capacity without exercise testing.
Med Sci Sports Exerc.
1990;
22
863-70
-
10
Karvonen J, Chwalbinska-Moneta J, Säynäjäkangas S.
Comparison of heart rates measured by ECG and Microcomputer.
Physician Sportsmed.
1984;
12
65-9
-
11
Leger L, Thivierge M.
Heart rate monitors: validity, stability and functionality.
Physician Sportsmed.
1988;
16
143-51
-
12
Leonard W R, Katzmarzyk P T, Merrill A S, Ross A GP.
Comparison of the heart rate-monitoring and factorial methods: assessment of energy expenditure in highland and coastal Ecuadoreans.
Am J Clin Nutr.
1995;
61
1146-52
-
13
Li R, Deurenberg P, Hautvast J GAJ.
A critical evaluation of heart rate monitoring to assess energy expenditure in individuals.
Am J Clin Nutr.
1993;
58
602-7
-
14
Lohman T G.
Skinfolds and body density and their relation to body fatness: a review.
Human Biol.
1981;
53
181-225
-
15 McArdle W D, McArdle F I, Katch V L. Essentials of Exercise Physiology. Malvern, USA,; Lea & Febiger, 1994: 90-4
-
16
Montoye H J, Washburn R.
Estimation of energy expenditure by a portable accelometer.
Med Sci Sports Exerc.
1983;
15
403-7
-
17
Pate R R, Pratt M, Blair S N, Haskell W L, Macera C A, Bouchard C, Buchner D, Ettinger W, Heath G W, King A C, Kriska A, Leon A S, Marcus B H, Morris J, Pfaffenbarger R S, Patrick K, Pollock M L, Rippe J M, Sallis J, Wilmore J H.
Physical activity and public health.
JAMA.
1995;
5
402-7
-
18
Rayson M P, Davies A, Bell D G, Rhodes-James E S.
Heart rate and oxygen uptake relationship: a comparison of loaded marching and running in women.
Eur J Appl Physiol.
1995;
71
405-8
-
19
Spurr G B, Prentice A M, Murgatroyd P R, Goldberg G R, Reina J C, Christmas N T.
Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry.
Am Clin Nutr.
1988;
48
552-9
-
20
Stager J M, Lindeman A, Edwards J.
The use of doubly labelled water in quantifying energy expenditure during prolonged activity.
Sports Med.
1995;
19
166-72
-
21
Treiber F A, Musante L, Hartdagan S, Davis H, Levy M, Strong W B.
Validation of a heart rate monitor with children in laboratory and field settings.
Med Sci Sports Exerc.
1989;
21
338-42
-
22 Physical activity and health: a report of the surgeon general. Atlanta, ; U.S. Department of Health and Human Services, 1996: 29-33
-
23
Washburn R, Chin M K, Montoye H J.
Accuracy of pedometer in walking and running.
Res Q Exerc Sport.
1980;
51
695-702
-
24
Washburn R J, Montoye H J.
The assessment of physical activity by questionnaire.
Am J Epidemol.
1986;
123
563-76
-
25
Weir J B.
New methods for calculating metabolic rate with special reference to protein metabolism.
J Physiol.
1949;
109
1-9
M.Sc. Hannele Hiilloskorpi
The UKK Institute
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