Using Field Based Data to Model Sprint Track Cycling Performance

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dc.contributor.authorFerguson HA
dc.contributor.authorHarnish C
dc.contributor.authorChase, Geoff
dc.date.accessioned2021-06-11T00:27:51Z
dc.date.available2021-06-11T00:27:51Z
dc.date.issued2021en
dc.date.updated2021-04-19T03:11:48Z
dc.description.abstractCycling performance models are used to study rider and sport characteristics to better understand performance determinants and optimise competition outcomes. Performance requirements cover the demands of competition a cyclist may encounter, whilst rider attributes are physical, technical and psychological characteristics contributing to performance. Several current models of endurance-cycling enhance understanding of performance in road cycling and track endurance, relying on a supply and demand perspective. However, they have yet to be developed for sprint-cycling, with current athlete preparation, instead relying on measures of peak-power, speed and strength to assess performance and guide training. Peak-power models do not adequately explain the demands of actual competition in events over 15-60 s, let alone, in World-Championship sprint cycling events comprising several rounds to medal finals. Whilst there are no descriptive studies of track-sprint cycling events, we present data from physiological interventions using track cycling and repeated sprint exercise research in multiple sports, to elucidate the demands of performance requiring several maximal sprints over a competition. This review will show physiological and power meter data, illustrating the role of all energy pathways in sprint performance. This understanding highlights the need to focus on the capacity required for a given race and over an event, and therefore the recovery needed for each subsequent race, within and between races, and how optimal pacing can be used to enhance performance. We propose a shift in sprint-cyclist preparation away from training just for peak power, to a more comprehensive model of the actual event demands.en
dc.identifier.citationFerguson HA, Harnish C, Chase JG (2021). Using Field Based Data to Model Sprint Track Cycling Performance. Sports Medicine - Open. 7(1). 20-.en
dc.identifier.doihttp://doi.org/10.1186/s40798-021-00310-0
dc.identifier.issn2199-1170
dc.identifier.issn2198-9761
dc.identifier.urihttps://hdl.handle.net/10092/102026
dc.languageeng
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen
dc.rightsAll rights reserved unless otherwise stateden
dc.rights.urihttp://hdl.handle.net/10092/17651en
dc.subject.anzsrc1106 Human Movement and Sports Sciencesen
dc.subject.anzsrcFields of Research::42 - Health sciences::4207 - Sports science and exercise::420702 - Exercise physiologyen
dc.subject.anzsrcFields of Research::40 - Engineering::4003 - Biomedical engineering::400306 - Computational physiologyen
dc.titleUsing Field Based Data to Model Sprint Track Cycling Performanceen
dc.typeJournal Articleen
uc.collegeFaculty of Engineering
uc.departmentMechanical Engineering
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