A global perspective on collision and non-collision match characteristics in male rugby union: Comparisons by age and playing standard.

Tackle player development policy ruck scrum

Journal

European journal of sport science
ISSN: 1536-7290
Titre abrégé: Eur J Sport Sci
Pays: England
ID NLM: 101146739

Informations de publication

Date de publication:
Jul 2023
Historique:
medline: 6 7 2023
pubmed: 22 2 2023
entrez: 21 2 2023
Statut: ppublish

Résumé

This 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 The safety of rugby union, especially the tackle, has previously been questioned but limited data are available to understand the collision and non-collision match characteristics between different age categories and playing standards.The frequency of collision and non-collision match characteristics increase with age and playing standard except for the frequency of scrums and tries which are lowest at the Senior Elite level. The activity of the tackle and ruck are also different between age categories and playing standards.Hierarchical cluster analysis demonstrated clear differences in all and collision match characteristics between junior (i.e. U12, U14, U16), and amateur (i.e. U18 and senior) and elite (i.e. U18 and senior) playing levels.Governing bodies and practitioners should be aware of the differences in collision and non-collision match characteristics by age and playing standard, when reviewing future versions of rugby union.

Autres résumés

Type: plain-language-summary (eng)
The safety of rugby union, especially the tackle, has previously been questioned but limited data are available to understand the collision and non-collision match characteristics between different age categories and playing standards.The frequency of collision and non-collision match characteristics increase with age and playing standard except for the frequency of scrums and tries which are lowest at the Senior Elite level. The activity of the tackle and ruck are also different between age categories and playing standards.Hierarchical cluster analysis demonstrated clear differences in all and collision match characteristics between junior (i.e. U12, U14, U16), and amateur (i.e. U18 and senior) and elite (i.e. U18 and senior) playing levels.Governing bodies and practitioners should be aware of the differences in collision and non-collision match characteristics by age and playing standard, when reviewing future versions of rugby union.

Identifiants

pubmed: 36803563
doi: 10.1080/17461391.2022.2160938
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1131-1145

Auteurs

Kevin Till (K)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.
Leeds Rhinos Rugby League Club, Leeds, UK.

Sharief Hendricks (S)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.
Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Sean Scantlebury (S)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.
England Performance Unit, Rugby Football League, Red Hall, Leeds, UK.

Nick Dalton-Barron (N)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.
Football Association, London, UK.

Nicholas Gill (N)

Division of Health, Engineering, Computing & Science, Te Huataki Waiora School of Health, University of Waikato, Tauranga, New Zealand.

Steve den Hollander (S)

Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Simon Kemp (S)

Rugby Football Union, London, UK.
London School of Hygiene and Tropical Medicine, London, UK.

Andrew E Kilding (AE)

Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.

Mike Lambert (M)

Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Peter Mackreth (P)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.

John O'Reilly (J)

Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong.

Cameron Owen (C)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.
England Performance Unit, Rugby Football League, Red Hall, Leeds, UK.
British Swimming, Loughborough, UK.

Kirsten Spencer (K)

Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.

Keith Stokes (K)

Rugby Football Union, London, UK.
Department for Health, University of Bath, Bath, UK.

Jason Tee (J)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.

Ross Tucker (R)

World Rugby, Dublin, Ireland.

Luis Vaz (L)

Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), University of Trás-os-Montes and Alto Douro, Vila Real, Portugal.

Dan Weaving (D)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.

Ben Jones (B)

Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, UK.
Leeds Rhinos Rugby League Club, Leeds, UK.
Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
England Performance Unit, Rugby Football League, Red Hall, Leeds, UK.
Research and Rugby Development, Premier Rugby Ltd, Twickenham, UK.

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