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Modelling of critical power from road data

Modelling of critical power from road data

Karsten, B., Jobson, S., Hopker, J., Stevens, L. and Beedie, C. (2014) Modelling of critical power from road data. Journal of Science and Cycling (JSC), 3 (2). pp. 23-24. ISSN 2254-7053

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Background: Performance tests are an integral part of evaluating competitive cyclists. Despite all technological and physiological advances, limited research has been performed addressing the translation of standardized, relevant laboratory tests into the field and consequently into “real world” cycling (i.e. .(i.e. González-Haro et al., 2007: British Journal of Sports Medicine, 41(3), 174–179; Quod et al., 2010:InterInternational Journal of Sports Medicine, 31(6), 397–401; Nimmerichter et al., 2010: International Journal of Sports Medicine, 31(3), 160- 166). For continuous activities between approximately 2 and 30 minutes, the assessment of Critical Power (CP) is one such relevant test. Compromising ecological validity, to date CP testing is mostly constrained to the laboratory.

Purpose: To investigate a novel CP road testing protocol.

Methods: Laboratory determined CP values using a 30 min intra-trial recovery period (Bishop & Jenkins, 1995: European Journal of Applied Physiology and Occupational Physiology, 72 (1-2), 115-120) were compared with those determined in the field, i.e. on the road. The experiment comprised of planned maximal efforts of 12 min, 7 min and 3 min with a 30 min recovery period between efforts. Linear regression was used to determine CP using the work-

Results: There was no significant difference between laboratory and road CP values. The mean difference between the two environments was 0 ± 5.5 W. The standard error of estimates was 1.7% and limits of agreement were -10.8 – 10.8 W (Fig. 1). Discussion: Results suggests that CP can be tested on the road. Gonzales-Haro accepted their incremental velodrome field test as being valid with reported limits of agreement of 130 W to – 24 W and a random error of 13.9%. Our limits of agreement values are considerably higher and standard error of estimate values are considerably lower than those reported by Gonzales-Haro. The experimental protocol provides a practical and easy to use alternative to the conventional testing protocol for coaches and athletes when determining CP in on the road.

Conclusion: The aforementioned research provides support for the acceptance of road CP performance testing using a 30 min inter-maximal effort recovery period.

Item Type: Article
Additional Information: [1] Abstract, published in Journal of Science and Cycling (JSC), Vol 3, No 2 (2014) - special issue entitled World Congress of Cycling Science 2014, 2/3 July 2014, Leeds. [2] The Congress was organised by sport scientists at the University of Kent, under the banner of the World Commission of Science and Sports, the World Congress of Cycling Science 2014 coincided with the Grand Depart of the Tour de France in Leeds 2014. The conference preceded the start of the 2014 Tour de France in Leeds on 2nd and 3rd July 2014. The theme of the conference was the Science behind the Tour de France and the focus was on the application of science in supporting cycling performance. The conference was organised under the banner of the World Commission of Science and Sports and was endorsed by the Union Cyclist International (UCI). [3] This work is licensed under a Creative Commons Attribution 3.0 License.
Uncontrolled Keywords: modelling of critical power, road data, performance tests, evaluating competitive cyclists
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
Q Science > QP Physiology
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM)
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Exercise Activity and Rehabilitation
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Last Modified: 22 Nov 2021 11:49

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