The relationship between objective measures of sleep and training load across different phases of the season in American collegiate football players

Fullagar, HHK; Sampson, JA; Delaney, J; McKay, B; Murray, A

The relationship between objective measures of sleep and training load across different phases of the season in American collegiate football players

Fullagar, HHK

Sampson, JA Delaney, J McKay, B Murray, A

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Publication Type:: Journal Article
Citation:: Science and Medicine in Football, 2019, 3 (4), pp. 326 - 332
Issue Date:: 2019-10-02

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Field	Value	Language
dc.contributor.author	Fullagar, HHK https://orcid.org/0000-0001-9426-5373	en_US
dc.contributor.author	Sampson, JA	en_US
dc.contributor.author	Delaney, J	en_US
dc.contributor.author	McKay, B	en_US
dc.contributor.author	Murray, A https://orcid.org/0000-0001-5014-1096	en_US
dc.date.available	2020-11-26T18:02:35Z
dc.date.issued	2019-10-02	en_US
dc.identifier.citation	Science and Medicine in Football, 2019, 3 (4), pp. 326 - 332	en_US
dc.identifier.issn	2473-3938	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133911
dc.description.abstract	© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Purpose: Despite the perceived importance of sleep for American collegiate football (ACF) players, particularly given the schooling and athletic expectations for these players, descriptions of the duration and quality of sleep are limited. Thus, this study investigated the relationship between objective measures of sleep and training load across different phases of the ACF season. Methods: 23 ACF players’ (21.1 ± 1.2 years; 108.0 ± 20.0 kg). sleep/wake behaviour and daily external training load were assessed using wristwatch actigraphy and accelerometry (PlayerLoadTM [PL]), respectively, for a minimum of 3 nights/days in each phase (Off-season, Camp [Pre-season], In-Season and School). The relationships between each sleep metric and both season phase and external training load were assessed using linear mixed models. Results: Overall, total sleep time was very likely shorter in Camp (−41 ± 13 min, effect size [ES 0.68 ± 0.36[), almost certainly shorter In-Season (−56 ± 14 min, ES 0.93 ± 0.39) and likely shorter in School (−28 ± 15 min, ES 0.46 ± 0.42) compared to the Off-season phase. There was almost certainly a difference in sleep latency during the school phase (ES = 4.67 ± 2.03). Conclusion: These data suggest sleep time is reduced during periods of intensified training in ACF players. Of further concern are the demands placed upon student-athletes during the School phase, where aspects of sleep can be compromised.	en_US
dc.relation.ispartof	Science and Medicine in Football	en_US
dc.relation.isbasedon	10.1080/24733938.2019.1618491	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	The relationship between objective measures of sleep and training load across different phases of the season in American collegiate football players	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	3	en_US
utslib.for	1106 Human Movement and Sports Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Sports and Exercise Science
utslib.copyright.status	open_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Purpose: Despite the perceived importance of sleep for American collegiate football (ACF) players, particularly given the schooling and athletic expectations for these players, descriptions of the duration and quality of sleep are limited. Thus, this study investigated the relationship between objective measures of sleep and training load across different phases of the ACF season. Methods: 23 ACF players’ (21.1 ± 1.2 years; 108.0 ± 20.0 kg). sleep/wake behaviour and daily external training load were assessed using wristwatch actigraphy and accelerometry (PlayerLoadTM [PL]), respectively, for a minimum of 3 nights/days in each phase (Off-season, Camp [Pre-season], In-Season and School). The relationships between each sleep metric and both season phase and external training load were assessed using linear mixed models. Results: Overall, total sleep time was very likely shorter in Camp (−41 ± 13 min, effect size [ES 0.68 ± 0.36[), almost certainly shorter In-Season (−56 ± 14 min, ES 0.93 ± 0.39) and likely shorter in School (−28 ± 15 min, ES 0.46 ± 0.42) compared to the Off-season phase. There was almost certainly a difference in sleep latency during the school phase (ES = 4.67 ± 2.03). Conclusion: These data suggest sleep time is reduced during periods of intensified training in ACF players. Of further concern are the demands placed upon student-athletes during the School phase, where aspects of sleep can be compromised.

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http://hdl.handle.net/10453/133911