A Global Perspective on Collision and Non-collision Match Characteristics in Male Rugby Union: Comparisons by Age and Playing Standard

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aut.relation.endpage1145
aut.relation.issue7
aut.relation.journalEuropean Journal of Sport Science
aut.relation.startpage1131
aut.relation.volume23
dc.contributor.authorTill, K
dc.contributor.authorHendricks, S
dc.contributor.authorScantlebury, S
dc.contributor.authorDalton-Barron, N
dc.contributor.authorGill, N
dc.contributor.authorden Hollander, S
dc.contributor.authorKemp, S
dc.contributor.authorKilding, AE
dc.contributor.authorLambert, M
dc.contributor.authorMackreth, P
dc.contributor.authorO’Reilly, J
dc.contributor.authorOwen, C
dc.contributor.authorSpencer, K
dc.contributor.authorStokes, K
dc.contributor.authorTee, J
dc.contributor.authorTucker, R
dc.contributor.authorVaz, L
dc.contributor.authorWeaving, D
dc.contributor.authorJones, B
dc.date.accessioned2023-08-02T22:47:14Z
dc.date.available2023-08-02T22:47:14Z
dc.date.issued2023-02-19
dc.description.abstractThis study quantified and compared the collision and non-collision match characteristics across age categories (i.e. U12, U14, U16, U18, Senior) for both amateur and elite playing standards from Tier 1 rugby union nations (i.e. England, South Africa, New Zealand). Two-hundred and one male matches (5911 min ball-in-play) were coded using computerised notational analysis, including 193,708 match characteristics (e.g. 83,688 collisions, 33,052 tackles, 13,299 rucks, 1006 mauls, 2681 scrums, 2923 lineouts, 44,879 passes, 5568 kicks). Generalised linear mixed models with post-hoc comparisons and cluster analysis compared the match characteristics by age category and playing standard. Overall significant differences (p < 0.001) between age category and playing standard were found for the frequency of match characteristics, and tackle and ruck activity. The frequency of characteristics increased with age category and playing standard except for scrums and tries that were the lowest at the senior level. For the tackle, the percentage of successful tackles, frequency of active shoulder, sequential and simultaneous tackles increased with age and playing standard. For ruck activity, the number of attackers and defenders were lower in U18 and senior than younger age categories. Cluster analysis demonstrated clear differences in all and collision match characteristics and activity by age category and playing standard. These findings provide the most comprehensive quantification and comparison of collision and non-collision activity in rugby union demonstrating increased frequency and type of collision activity with increasing age and playing standard. These findings have implications for policy to ensure the safe development of rugby union players throughout the world.
dc.identifier.citationEuropean Journal of Sport Science, ISSN: 1746-1391 (Print); 1536-7290 (Online), Informa UK Limited, 23(7), 1131-1145. doi: 10.1080/17461391.2022.2160938
dc.identifier.doi10.1080/17461391.2022.2160938
dc.identifier.issn1746-1391
dc.identifier.issn1536-7290
dc.identifier.urihttp://hdl.handle.net/10292/16511
dc.languageeng
dc.publisherInforma UK Limited
dc.relation.urihttps://www.tandfonline.com/doi/full/10.1080/17461391.2022.2160938
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTackle
dc.subjectplayer development
dc.subjectpolicy
dc.subjectruck
dc.subjectscrum
dc.subject4206 Public Health
dc.subject42 Health Sciences
dc.subject0913 Mechanical Engineering
dc.subject1106 Human Movement and Sports Sciences
dc.subjectSport Sciences
dc.subject4207 Sports science and exercise
dc.subject5201 Applied and developmental psychology
dc.titleA Global Perspective on Collision and Non-collision Match Characteristics in Male Rugby Union: Comparisons by Age and Playing Standard
dc.typeJournal Article
pubs.elements-id494752
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