The time course of perceptual recovery markers after match play in division I-A college American football

Fullagar, HHK; Govus, A; Hanisch, J; Murray, A

The time course of perceptual recovery markers after match play in division I-A college American football

Fullagar, HHK

Govus, A

Hanisch, J Murray, A

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Publication Type:: Journal Article
Citation:: International Journal of Sports Physiology and Performance, 2017, 12 (9), pp. 1264 - 1266
Issue Date:: 2017-10-01

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Field	Value	Language
dc.contributor.author	Fullagar, HHK https://orcid.org/0000-0001-9426-5373	en_US
dc.contributor.author	Govus, A https://orcid.org/0000-0001-6224-0454	en_US
dc.contributor.author	Hanisch, J	en_US
dc.contributor.author	Murray, A	en_US
dc.date.issued	2017-10-01	en_US
dc.identifier.citation	International Journal of Sports Physiology and Performance, 2017, 12 (9), pp. 1264 - 1266	en_US
dc.identifier.issn	1555-0265	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125087
dc.description.abstract	© 2017 Human Kinetics, Inc. Purpose: To investigate the recovery time course of customized wellness markers (sleep, soreness, energy, and overall wellness) in response to match play in American Division I-A college football players. Methods: A retrospective research design was used. Wellness data were collected and analyzed for 2 American college football seasons. Perceptions of soreness, sleep, energy, and overall wellness were obtained for the day before each game (GD-1) and the days after each game (GD+2, GD+3, and GD+4). Standardized effect-size (ES) analyses ± 90% confidence intervals were used to interpret the magnitude of the mean differences between all time points for the start, middle, and finish of the season, using the following qualitative descriptors: 0-0.19 trivial, 0.2-0.59 small, 0.6-1.19 moderate, 1.2-1.99 large, <2.0 very large. Results: Overall wellness showed small ES reductions on GD+2 (d = 0.22 ± 0.09, likely [94.8%]), GD+3 (d = 0.37 ± 0.15, very likely), and GD+4 (d = 0.29 ± 0.12, very likely) compared with GD-1. There were small ES reductions for soreness between GD-1 and GD+2, GD+3, and GD +4 (d = 0.21 ± 0.09, likely, d = 0.29 ± 0.12, very likely, and 0.30 ± 0.12, very likely, respectively). Small ES reductions were also evident between GD-1 and GD+3 (d = 0.21 ± 0.09, likely) for sleep. Feelings of energy showed small ESs on GD+3 (d = 0.27 ± 0.11, very likely) and GD+4 (d = 0.22 ± 0.09, likely) compared with GD-1. Conclusion: All wellness markers were likely to very likely worse on GD+3 and GD+4 than on GD-1. These findings show that perceptual wellness takes longer than 4 d to return to pregame levels and thus should be considered when prescribing training and/or recovery.	en_US
dc.relation.ispartof	International Journal of Sports Physiology and Performance	en_US
dc.relation.isbasedon	10.1123/ijspp.2016-0550	en_US
dc.subject.classification	Sport Sciences	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Fatigue	en_US
dc.subject.mesh	Retrospective Studies	en_US
dc.subject.mesh	Perception	en_US
dc.subject.mesh	Sleep	en_US
dc.subject.mesh	Health Status	en_US
dc.subject.mesh	Football	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Athletic Performance	en_US
dc.subject.mesh	Young Adult	en_US
dc.subject.mesh	Myalgia	en_US
dc.title	The time course of perceptual recovery markers after match play in division I-A college American football	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	12	en_US
utslib.for	1106 Human Movement and Sports Sciences	en_US
utslib.for	1116 Medical Physiology	en_US
utslib.for	1701 Psychology	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
utslib.copyright.status	closed_access
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	12	en_US

Abstract:

© 2017 Human Kinetics, Inc. Purpose: To investigate the recovery time course of customized wellness markers (sleep, soreness, energy, and overall wellness) in response to match play in American Division I-A college football players. Methods: A retrospective research design was used. Wellness data were collected and analyzed for 2 American college football seasons. Perceptions of soreness, sleep, energy, and overall wellness were obtained for the day before each game (GD-1) and the days after each game (GD+2, GD+3, and GD+4). Standardized effect-size (ES) analyses ± 90% confidence intervals were used to interpret the magnitude of the mean differences between all time points for the start, middle, and finish of the season, using the following qualitative descriptors: 0-0.19 trivial, 0.2-0.59 small, 0.6-1.19 moderate, 1.2-1.99 large, <2.0 very large. Results: Overall wellness showed small ES reductions on GD+2 (d = 0.22 ± 0.09, likely [94.8%]), GD+3 (d = 0.37 ± 0.15, very likely), and GD+4 (d = 0.29 ± 0.12, very likely) compared with GD-1. There were small ES reductions for soreness between GD-1 and GD+2, GD+3, and GD +4 (d = 0.21 ± 0.09, likely, d = 0.29 ± 0.12, very likely, and 0.30 ± 0.12, very likely, respectively). Small ES reductions were also evident between GD-1 and GD+3 (d = 0.21 ± 0.09, likely) for sleep. Feelings of energy showed small ESs on GD+3 (d = 0.27 ± 0.11, very likely) and GD+4 (d = 0.22 ± 0.09, likely) compared with GD-1. Conclusion: All wellness markers were likely to very likely worse on GD+3 and GD+4 than on GD-1. These findings show that perceptual wellness takes longer than 4 d to return to pregame levels and thus should be considered when prescribing training and/or recovery.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/125087