Pre-training perceived wellness impacts training output in Australian football players
Article
Article Title | Pre-training perceived wellness impacts training output in Australian football players |
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ERA Journal ID | 9782 |
Article Category | Article |
Authors | Gallo, Tania F. (Author), Cormack, Stuart J. (Author), Gabbett, Tim J. (Author) and Lorenzen, Christian H. (Author) |
Journal Title | Journal of Sports Sciences |
Journal Citation | 34 (15), pp. 1445-1451 |
Number of Pages | 7 |
Year | 2016 |
Publisher | Taylor & Francis |
Place of Publication | United Kingdom |
ISSN | 0264-0414 |
1466-447X | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/02640414.2015.1119295 |
Web Address (URL) | http://www.tandfonline.com/doi/pdf/10.1080/02640414.2015.1119295?needAccess=true |
Abstract | The impact of perceived wellness on a range of external load parameters, rating of perceived exertion (RPE) and external load:RPE ratios, was explored during skill-based training in Australian footballers. Fifteen training sessions involving 36 participants were analysed. Each morning before any physical training, players completed a customised perceived wellness questionnaire (sleep quality, fatigue, stress, mood and muscle soreness). Microtechnology devices provided external load (average speed, high-speed running distance, player load and player load slow). Players provided RPE using the modified Borg category-ratio 10 RPE scale. Mixed-effect linear models revealed significant effects of wellness Z-score on player load and player load slow. Effects are reported with 95% confidence limits. A wellness Z-score of −1 corresponded to a −4.9 ± 3.1 and −8.6 ± 3.9% reduction in player load and player load slow, respectively, compared to those without reduced wellness. Small significant effects were also seen in the average speed:RPE and player load slow:RPE models. A wellness Z-score of −1 corresponded to a 0.43 ± 0.38 m·min− 1 and −0.02 ± 0.01 au·min− 1 change in the average speed:RPE and player load slow:RPE ratios, respectively. Magnitude-based analysis revealed that the practical size of the effect of a pre-training perceived wellness Z-score of −1 would have on player load slow was likely negative. The results of this study suggests that monitoring pre-training perceived wellness may provide coaches with information about the intensity of output that can be expected from individual players during a training session. |
Keywords | athlete monitoring; external training load; team sport |
ANZSRC Field of Research 2020 | 420799. Sports science and exercise not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Australian Catholic University |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q439w/pre-training-perceived-wellness-impacts-training-output-in-australian-football-players
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