The application of match-event and instrumented mouthguard data to inform match limits: An example using rugby union Premiership and rugby league Super League data from England.

Autor: Sawczuk T; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK., Cross M; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.; Premiership Rugby, London, UK., Owen C; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.; England Performance Unit, Rugby Football League, Manchester, UK., Roe G; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK., Stokes K; Rugby Football Union, Twickenham, UK.; Centre for Health and Injury and Illness Prevention in Sport, University of Bath, Bath, UK.; UK Collaborating Centre on Injury and Illness Prevention in Sport (UKCCIIS), University of Bath, Bath, UK., Kemp S; Rugby Football Union, Twickenham, UK.; London School of Hygiene and Tropical Medicine, London, UK., Tooby J; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK., Allan D; Sport and Exercise Sciences Research Institute, Ulster University, Belfast, UK.; Nanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, Belfast, UK., Falvey É; World Rugby, Dublin, Ireland.; School of Medicine & Health, University College Cork, Cork, Ireland., Starling L; Centre for Health and Injury and Illness Prevention in Sport, University of Bath, Bath, UK.; UK Collaborating Centre on Injury and Illness Prevention in Sport (UKCCIIS), University of Bath, Bath, UK.; World Rugby, Dublin, Ireland., Tierney G; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.; Sport and Exercise Sciences Research Institute, Ulster University, Belfast, UK.; Nanotechnology and Integrated Bioengineering Centre (NIBEC), School of Engineering, Ulster University, Belfast, UK., Tucker R; World Rugby, Dublin, Ireland.; Department of Exercise, Institute of Sport and Exercise Medicine (ISEM), University of Stellenbosch, Stellenbosch, South Africa., Jones B; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.; Premiership Rugby, London, UK.; England Performance Unit, Rugby Football League, Manchester, UK.; Division of Physiological Sciences and Health Through Physical Activity, Lifestyle and Sport Research Centre, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.; School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.
Jazyk: angličtina
Zdroj: European journal of sport science [Eur J Sport Sci] 2024 Nov; Vol. 24 (11), pp. 1552-1563. Date of Electronic Publication: 2024 Sep 21.
DOI: 10.1002/ejsc.12188
Abstrakt: The study aimed to illustrate how contact (from match-event data) and head acceleration event (HAE) (from instrumented mouthguard [iMG]) data can be combined to inform match limits within rugby. Match-event data from one rugby union and rugby league season, including all competitive matches involving players from the English Premiership and Super League, were used. Playing exposure was summarised as full game equivalents (FGE; total minutes played/80). Expected contact and HAE exposures at arbitrary thresholds were estimated using match-event and iMG data. Generalised linear models were used to identify differences in contact and HAE exposure per FGE. For 30 FGEs, forwards had greater contact than backs in rugby union (n = 1272 vs. 618) and league (n = 1569 vs. 706). As HAE magnitude increased, the differences between positional groups decreased (e.g., rugby union; n = 34 and 22 HAE >40 g for forwards and backs playing 30 FGEs). Currently, only a relatively small proportion of rugby union (2.5%) and league (7.3%) players exceeded 25 FGEs. Estimating contact and HAEs per FGE allows policymakers to prospectively plan and model estimated overall and position-specific loads over a season and longer term. Reducing FGE limits by a small amount would currently only affect contact and HAE exposure for a small proportion of players who complete the most minutes. This may be beneficial for this cohort but is not an effective HAE and contact exposure reduction strategy at a population level, which requires individual player management. Given the positional differences, FGE limits should exist to manage appropriate HAE and contact exposure.
(© 2024 The Author(s). European Journal of Sport Science published by Wiley‐VCH GmbH on behalf of European College of Sport Science.)
Databáze: MEDLINE
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