Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union.

fatigue recovery sport training load

Journal

South African journal of sports medicine
ISSN: 2078-516X
Titre abrégé: S Afr J Sports Med
Pays: South Africa
ID NLM: 101132064

Informations de publication

Date de publication:
2020
Historique:
entrez: 23 2 2023
pubmed: 1 1 2020
medline: 1 1 2020
Statut: epublish

Résumé

Growing evidence highlights that elite rugby union players experience poor sleep quality and quantity which can be detrimental for performance. This study aimed to i) compare objective sleep measures of rugby union players between age categories over a one week period, and ii) compare self-reported measures of sleep to wristwatch actigraphy as the criterion. Two hundred and fifty-three nights of sleep were recorded from 38 players representing four different age groups (i.e. under 16, under 18, senior academy, elite senior) in a professional rugby union club in the United Kingdom (UK). Linear mixed models and magnitude-based decisions were used for analysis. The analysis of sleep schedules showed that U16 players went to bed and woke up later than their older counterparts (small differences). In general, players obtained seven hours of sleep per night, with trivial or unclear differences between age groups. The validity analysis highlighted a large relationship between objective and subjective sleep measures for bedtime ( This study highlights that differences exist in sleep schedules between rugby union players in different age categories that should be considered when planning training. Additionally, self-reported measures overestimated sleep parameters. Coaches should consider these results to optimise sleep habits of their players and should be careful with self-reported sleep measures.

Sections du résumé

Background UNASSIGNED
Growing evidence highlights that elite rugby union players experience poor sleep quality and quantity which can be detrimental for performance.
Objectives UNASSIGNED
This study aimed to i) compare objective sleep measures of rugby union players between age categories over a one week period, and ii) compare self-reported measures of sleep to wristwatch actigraphy as the criterion.
Methods UNASSIGNED
Two hundred and fifty-three nights of sleep were recorded from 38 players representing four different age groups (i.e. under 16, under 18, senior academy, elite senior) in a professional rugby union club in the United Kingdom (UK). Linear mixed models and magnitude-based decisions were used for analysis.
Results UNASSIGNED
The analysis of sleep schedules showed that U16 players went to bed and woke up later than their older counterparts (small differences). In general, players obtained seven hours of sleep per night, with trivial or unclear differences between age groups. The validity analysis highlighted a large relationship between objective and subjective sleep measures for bedtime (
Conclusion UNASSIGNED
This study highlights that differences exist in sleep schedules between rugby union players in different age categories that should be considered when planning training. Additionally, self-reported measures overestimated sleep parameters. Coaches should consider these results to optimise sleep habits of their players and should be careful with self-reported sleep measures.

Identifiants

pubmed: 36818989
doi: 10.17159/2078-516X/2020/v32i1a8456
pii: 2078-516x-32-v32i1a8456
pmc: PMC9924602
doi:

Types de publication

Journal Article

Langues

eng

Pagination

v32i1a8456

Déclaration de conflit d'intérêts

Conflict of interest and source of funding: The authors declare that they have no conflict of interest and no source of funding.

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Auteurs

C Leduc (C)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.

J Tee (J)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.
Department of Sport Studies, Faculty of Applied Sciences, Durban University of Technology, South Africa.

P Phibbs (P)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.
Leinster Rugby, Belfield, Dublin, Republic of Ireland.

D Read (D)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.

C Ramirez (C)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.
Yorkshire Carnegie Rugby Union Football Club, Leeds, UK.

T Sawczuk (T)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.

D Weaving (D)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.
Leeds Rhinos Rugby League Club, Leeds, UK.

B Jones (B)

Carnegie Applied Rugby Research (CARR) centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom.
England Performance Unit, The Rugby Football League, Leeds, UK.
School of Science and Technology, University of New England, Armidale, NSW, Australia.
Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, the University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa.
Leeds Rhinos Rugby League Club, Leeds, UK.

Classifications MeSH