Journal article
Predicting Self-Reported Illness for Professional Team-Sport Athletes
International Journal of Sports Physiology and Performance, Vol.11(4), pp.543-550
2016
Abstract
To identify contributing factors to the incidence of illness for professional team-sport athletes, using training load (TL), self-reported illness, and well-being data.
Methods: Thirty-two professional rugby league players (26.0 ± 4.8 y, 99.1 ± 9.6 kg, 1.84 ± 0.06 m) were recruited from the same club. Players participated in prescribed training and responded to a series of questionnaires to determine the presence of self-reported illness and markers of well-being. Internal TL was determined using the session rating of perceived exertion. These data were collected over 29 wk, across the preparatory and competition macrocycles.
Results: The predictive models developed recognized increases in internal TL (strain values of >2282 AU, weekly TL >2786 AU, and monotony >0.78 AU) to best predict when athletes are at increased risk of self-reported illness. In addition, a reduction in overall well-being (<7.25 AU) in the presence of increased internal TL, as previously stated, was highlighted as a contributor to self-reported-illness occurrence.
Conclusions: These results indicate that self-report data can be successfully used to provide a novel understanding of the interactions between competition-associated stressors experienced by professional team-sport athletes and their susceptibility to illness. This may help coaching staff more effectively monitor players during the season and potentially implement preventive measures to reduce the likelihood of illnesses occurring.
Details
- Title
- Predicting Self-Reported Illness for Professional Team-Sport Athletes
- Authors/Creators
- H.R. Thornton (Author/Creator) - Applied Sports Science and Exercise Testing Laboratory, University of Newcastle, Ourimbah, NSW, AustraliaJ.A. Delaney (Author/Creator)G.M. Duthie (Author/Creator)B.R. Scott (Author/Creator)W.J. Chivers (Author/Creator)C.E. Sanctuary (Author/Creator)B.J. Dascombe (Author/Creator)
- Publication Details
- International Journal of Sports Physiology and Performance, Vol.11(4), pp.543-550
- Publisher
- Human Kinetics
- Identifiers
- 991005540025007891
- Copyright
- © 2016 Human Kinetics, Inc.
- Murdoch Affiliation
- School of Psychology and Exercise Science
- Language
- English
- Resource Type
- Journal article
Metrics
180 File views/ downloads
48 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Citation topics
- 1 Clinical & Life Sciences
- 1.172 Sports Science
- 1.172.414 Training Optimization
- Web Of Science research areas
- Physiology
- Sport Sciences
- ESI research areas
- Clinical Medicine