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Int J Sports Med 2016; 37(14): 1129-1135
DOI: 10.1055/s-0042-110655
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

Estimating Energy Expenditure using Individualized, Power-Specific Gross Efficiencies

E. P. Homestead
1   Department of Integrative Physiology, University of Colorado Boulder, Boulder, United States
,
J. E. Peterman
1   Department of Integrative Physiology, University of Colorado Boulder, Boulder, United States
,
L. A. Kane
1   Department of Integrative Physiology, University of Colorado Boulder, Boulder, United States
,
E. J. Contini
1   Department of Integrative Physiology, University of Colorado Boulder, Boulder, United States
,
W. C. Byrnes
1   Department of Integrative Physiology, University of Colorado Boulder, Boulder, United States
› Author Affiliations
Further Information

Publication History



accepted after revision 06 July 2016

Publication Date:
13 October 2016 (online)

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Abstract

Our purpose was to determine if using an individual’s power-specific gross efficiency improves the accuracy of estimating energy expenditure from cycling power. 30 subjects performed a graded cycling test to develop 4 gross efficiencies: individual power-specific gross efficiencies, a group mean power-specific gross efficiency, individual fixed gross efficiencies, and a group mean fixed gross efficiency. Energy expenditure was estimated from power using these different gross efficiencies and compared to measured energy expenditure during moderate- and hard-intensity constant-power and 2 variable-power cycling bouts. Estimated energy expenditures using individual or group mean power-specific gross efficiencies were not different from measured energy expenditure across all cycling bouts (p>0.05). To examine the intra-individual variability of the estimates, absolute difference scores (absolute value of estimated minus measured energy expenditure) were compared, where values closer to zero represent more accurate individual estimates. The absolute difference score using individual power-specific gross efficiencies was significantly lower compared to the other gross efficiencies across all cycling bouts (p<0.01). Significant and strong correlations (r≥0.97, p<0.001) were found across all cycling bouts between estimated and measured energy expenditures using individual power-specific gross efficiencies. In conclusion, using an individual’s power-specific gross efficiency significantly improves their energy expenditure estimate across different power outputs.

Key words

cycling economy - oxygen uptake - power meters
 

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