Self-reported wellness profiles of professional australian football players during the competition phase of the season

Gallo, Tania F. and Cormack, Stuart J. and Gabbett, Tim J. and Lorenzen, Christian H. (2017) Self-reported wellness profiles of professional australian football players during the competition phase of the season. Journal of Strength and Conditioning Research, 31 (2). pp. 495-502. ISSN 1064-8011

Abstract

With the prevalence of customized self-report measures in high-performance sport, and the incomplete understanding of athletes' perceived wellness in response to matches and training load, the objective of this study was to explore weekly wellness profiles within the context of the competitive season of professional Australian football. Internal match load, measured through the session-rating of perceived exertion method, match-to-match microcycle, stage of the season, and training load were included in multivariate linear models to determine their effect on weekly wellness profile (n = 1,835). There was a lower weekly training load on a 6-day microcycle compared with a 7-day and 8-day microcycle. Match load had no significant impact on weekly wellness profile, while there was an interaction between microcycle and days postmatch. There was a likely moderately lower wellness Z-score 1 day postmatch for an 8-day microcycle (mean; 95% confidence interval: -1.79; -2.02 to -1.56) compared with a 6-day (-1.19; -1.30 to -1.08) and 7-day (-1.22; -1.34 to -1.09) cycle (d; 95% confidence interval: -0.82; -1.3 to -0.36, -0.78; -1.3 to -0.28, respectively). The second half of the season saw a possibly small reduction in overall wellness Z-score than the first half of the season (0.22; 0.12-0.32). Finally, training load had no effect on wellness Z-score when controlled for days postmatch, microcycle, and stage of the season. These results provide information on the status of players in response to matches and fixed conditions. Knowing when wellness Z-score returns to baseline relative to the length of the microcycle may lead practitioners to prescribe the heaviest load of the week accordingly. Furthermore, wellness 'red flags' should be made relative to the microcycles and stage of the season to determine an athlete's status relative to their typical weekly profile.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: File associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: No Faculty
Date Deposited: 06 Jun 2017 05:17
Last Modified: 31 Jul 2017 01:57
Uncontrolled Keywords: athlete self-report measures; monitoring training; psychometric tools; adult; athletes; Australia; football; health status; humans; male; perception; self report; young adult
Fields of Research : 11 Medical and Health Sciences > 1106 Human Movement and Sports Science > 110699 Human Movement and Sports Science not elsewhere classified
Socio-Economic Objective: C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Identification Number or DOI: 10.1519/JSC.0000000000001515
URI: http://eprints.usq.edu.au/id/eprint/32244

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