Is team-level injury analysis giving us the full story? Exploring a player-specific approach to analysing injuries
dc.contributor.author | Bitchell, L | |
dc.contributor.author | Stiles, VH | |
dc.contributor.author | Robinson, G | |
dc.contributor.author | Mathema, P | |
dc.contributor.author | Moore, IS | |
dc.date.accessioned | 2024-01-08T15:40:24Z | |
dc.date.issued | 2023-11-06 | |
dc.date.updated | 2024-01-08T14:18:15Z | |
dc.description.abstract | An 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.sponsorship | Knowledge Economy Skills Scholarships 2 (KESS2) | en_GB |
dc.description.sponsorship | Welsh Rugby Union | en_GB |
dc.format.extent | 1-11 | |
dc.identifier.citation | Published online 6 November 2023 | en_GB |
dc.identifier.doi | https://doi.org/10.1080/24748668.2023.2275940 | |
dc.identifier.grantnumber | 82196 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/134943 | |
dc.identifier | ORCID: 0000-0003-1107-6484 (Stiles, Victoria H) | |
dc.language.iso | en | en_GB |
dc.publisher | Routledge | en_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.subject | Athletic injuries | en_GB |
dc.subject | epidemiology | en_GB |
dc.subject | consensus | en_GB |
dc.subject | Rugby | en_GB |
dc.subject | GPS | en_GB |
dc.subject | Poisson probability | en_GB |
dc.title | Is team-level injury analysis giving us the full story? Exploring a player-specific approach to analysing injuries | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-01-08T15:40:24Z | |
dc.identifier.issn | 2474-8668 | |
dc.description | This is the final version. Available from Routledge via the DOI in this record. | en_GB |
dc.identifier.eissn | 1474-8185 | |
dc.identifier.journal | International Journal of Performance Analysis in Sport | en_GB |
dc.relation.ispartof | International Journal of Performance Analysis in Sport, ahead-of-print(ahead-of-print) | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2023-10-21 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-11-06 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-01-08T15:34:56Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-01-08T15:40:30Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2023-11-06 |
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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.