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dc.contributor.authorBitchell, L
dc.contributor.authorStiles, VH
dc.contributor.authorRobinson, G
dc.contributor.authorMathema, P
dc.contributor.authorMoore, IS
dc.date.accessioned2024-01-08T15:40:24Z
dc.date.issued2023-11-06
dc.date.updated2024-01-08T14:18:15Z
dc.description.abstractAn examination of team-level and player-specific injury incidence in Rugby Union, using different match exposure calculations, Match time-loss injuries and match exposure using Global Positioning Systems (GPS) was collected across three seasons (2016/17–2018/19). Team-level and player-specific injury incidence were calculated using standard match length and GPS exposure. The probability of one or two or more injuries was calculated using the Poisson probability. A total of 487 injuries were sustained by 111 players. Team-level injury incidence across three seasons using standard match length was lower than the injury incidence using GPS (59.5 vs 95.7 injuries/1000 match hours, respectively). More than 84% of players fell outside the 95% confidence intervals for the team-level injury incidence each season. When exposed to a lower number of match hours, at the same incidence the probability of only one injury was higher. When exposed to a higher number of match hours, at the same incidence the probability of sustaining two or more injuries was higher. The standard match length underestimates the team-level injury incidence if the entire player cohort has not provided consent. In addition, team-level injury incidence is a poor representation of the underlying injury incidence of players.en_GB
dc.description.sponsorshipKnowledge Economy Skills Scholarships 2 (KESS2)en_GB
dc.description.sponsorshipWelsh Rugby Unionen_GB
dc.format.extent1-11
dc.identifier.citationPublished online 6 November 2023en_GB
dc.identifier.doihttps://doi.org/10.1080/24748668.2023.2275940
dc.identifier.grantnumber82196en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134943
dc.identifierORCID: 0000-0003-1107-6484 (Stiles, Victoria H)
dc.language.isoenen_GB
dc.publisherRoutledgeen_GB
dc.rights© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.en_GB
dc.subjectAthletic injuriesen_GB
dc.subjectepidemiologyen_GB
dc.subjectconsensusen_GB
dc.subjectRugbyen_GB
dc.subjectGPSen_GB
dc.subjectPoisson probabilityen_GB
dc.titleIs team-level injury analysis giving us the full story? Exploring a player-specific approach to analysing injuriesen_GB
dc.typeArticleen_GB
dc.date.available2024-01-08T15:40:24Z
dc.identifier.issn2474-8668
dc.descriptionThis is the final version. Available from Routledge via the DOI in this record. en_GB
dc.identifier.eissn1474-8185
dc.identifier.journalInternational Journal of Performance Analysis in Sporten_GB
dc.relation.ispartofInternational Journal of Performance Analysis in Sport, ahead-of-print(ahead-of-print)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2023-10-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-11-06
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-01-08T15:34:56Z
refterms.versionFCDVoR
refterms.dateFOA2024-01-08T15:40:30Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-11-06


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© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Except where otherwise noted, this item's licence is described as © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.