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dc.contributor.authorOxendale, Chelsea*
dc.contributor.authorHighton, Jamie M.*
dc.contributor.authorTwist, Craig*
dc.date.accessioned2017-03-31T09:29:31Z
dc.date.available2017-03-31T09:29:31Z
dc.date.issued2017-03-21
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/620458/Oxendale%20et%20al.%20%282017%29%20JSAMS%20%282%29.pdf?sequence=11
dc.identifier.citationOxendale, C., Highton, J. & Twist, C. (2017). Energy expenditure, metabolic power and high speed activity during linear and multi-directional running. Journal of Science and Medicine in Sport, 20(10), 957-961. https://doi.org/10.1016/j.jsams.2017.03.013
dc.identifier.issn1440-2440
dc.identifier.doi10.1016/j.jsams.2017.03.013
dc.identifier.urihttp://hdl.handle.net/10034/620458
dc.description.abstractObjectives: The purpose of the study was to compare measures of energy expenditure derived from indirect calorimetry and micro-technology, as well as high power and high speed activity during linear and multi-directional running. Design: Repeated measures Methods: Twelve university standard team sport players completed a linear and multi-directional running condition. Estimated energy expenditure, as well as time at high speed (> 14.4 km.h-1) and high power (> 20 W.kg-1) were quantified using a 10 Hz micro-technology device and compared with energy expenditure derived from indirect calorimetry. Results: Measured energy expenditure was higher during the multi-directional condition (9.0 ± 2.0 cf. 5.9 ± 1.4 kcal.min-1), whereas estimated energy expenditure was higher during the linear condition (8.7 ± 2.1 cf. 6.5 ± 1.5 kcal.min-1). Whilst measures of energy expenditure were strongly related (r > 0.89, p < 0.001), metabolic power underestimated energy expenditure by 52% (95% LoA: 20-93%) and 34% (95% LoA: 12-59%) during the multi-directional and linear condition, respectively. Time at high power was 41% (95% LoA: 4-92%) greater than time at high speed during the multi-directional condition, whereas time at high power was 5% (95% LoA: -17-9%) lower than time at high speed during the linear condition. Conclusions: Estimated energy expenditure and time at high metabolic power can reflect changes in internal load. However, micro-technology cannot be used to determine the energy cost of intermittent running.
dc.language.isoenen
dc.publisherElsevier
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S1440244017303432en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGPSen
dc.subjectteam sportsen
dc.titleEnergy expenditure, metabolic power and high speed activity during linear and multi-directional runningen
dc.typeArticleen
dc.identifier.eissn1878-1861
dc.contributor.departmentUniversity of Chester
dc.identifier.journalJournal of Science and Medicine in Sporten
or.grant.openaccessYesen
rioxxterms.funderunfundeden
rioxxterms.identifier.projectUnfunded researchen
rioxxterms.versionAMen
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.jsams.2017.03.013
rioxxterms.licenseref.startdate2018-03-21
html.description.abstractObjectives: The purpose of the study was to compare measures of energy expenditure derived from indirect calorimetry and micro-technology, as well as high power and high speed activity during linear and multi-directional running. Design: Repeated measures Methods: Twelve university standard team sport players completed a linear and multi-directional running condition. Estimated energy expenditure, as well as time at high speed (> 14.4 km.h-1) and high power (> 20 W.kg-1) were quantified using a 10 Hz micro-technology device and compared with energy expenditure derived from indirect calorimetry. Results: Measured energy expenditure was higher during the multi-directional condition (9.0 ± 2.0 cf. 5.9 ± 1.4 kcal.min-1), whereas estimated energy expenditure was higher during the linear condition (8.7 ± 2.1 cf. 6.5 ± 1.5 kcal.min-1). Whilst measures of energy expenditure were strongly related (r > 0.89, p < 0.001), metabolic power underestimated energy expenditure by 52% (95% LoA: 20-93%) and 34% (95% LoA: 12-59%) during the multi-directional and linear condition, respectively. Time at high power was 41% (95% LoA: 4-92%) greater than time at high speed during the multi-directional condition, whereas time at high power was 5% (95% LoA: -17-9%) lower than time at high speed during the linear condition. Conclusions: Estimated energy expenditure and time at high metabolic power can reflect changes in internal load. However, micro-technology cannot be used to determine the energy cost of intermittent running.
rioxxterms.publicationdate2017-03-21
dc.dateAccepted2017-03-14
dc.date.deposited2017-03-31


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