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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Prediction of energy expenditure from heart rate monitoring during submaximal exercise
Journal of Sports Sciences, Volume 23, No. 3, Year 2005
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Description
The aims of this study were to quantify the effects of factors such as mode of exercise, body composition and training on the relationship between heart rate and physical activity energy expenditure (measured in kJ·min-1) and to develop prediction equations for energy expenditure from heart rate. Regularly exercising individuals (n = 115; age 18-45 years, body mass 47-120 kg) underwent a test for maximal oxygen uptake (V̇O2max test), using incremental protocols on either a cycle ergometer or treadmill; V̇O2max ranged from 27 to 81 ml·kg-1·min-1. The participants then completed three steady-state exercise stages on either the treadmill (10 min) or the cycle ergometer (15 min) at 35%, 62% and 80% of V̇O2max, corresponding to 57%, 77% and 90% of maximal heart rate. Heart rate and respiratory exchange ratio data were collected during each stage. A mixed-model analysis identified gender, heart rate, weight, V̇2max and age as factors that best predicted the relationship between heart rate and energy expenditure. The model (with the highest likelihood ratio) was used to estimate energy expenditure. The correlation coefficient (r) between the measured and estimated energy expenditure was 0.913. The model therefore accounted for 83.3% (R2) of the variance in energy expenditure in this sample. Because a measure of fitness, such as V̇O2max, is not always available, a model without V̇O2max included was also fitted. The correlation coefficient between die measured energy expenditure and estimates from the mixed model without V̇O2max was 0.857. It follows that the model without a fitness measure accounted for 73.4% of the variance in energy expenditure in this sample. Based on these results, we conclude that it is possible to estimate physical activity energy expenditure from heart rate in a group of individuals with a great deal of accuracy, after adjusting for age, gender, body mass and fitness. © 2005 Taylor & Francis Group Ltd.
Authors & Co-Authors
Keytel, Lara R.
South Africa, Cape Town
Faculty of Health Sciences
Goedecke, Julia H.
South Africa, Cape Town
Faculty of Health Sciences
Noakes, Timothy D.
South Africa, Cape Town
Faculty of Health Sciences
Hiiloskorpi, H.
Finland, Tampere
Health Promotion Research
Laukkanen, Raija T.
Finland, Oulu
Oulun Yliopisto
van der Merwe, Lize
South Africa, Tygerberg
South African Medical Research Council
Lambert, E. Victoria
South Africa, Cape Town
Faculty of Health Sciences
Statistics
Citations: 302
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1080/02640410470001730089
ISSN:
02640414
e-ISSN:
1466447X