Danielle Van Der Windt d.van.der.windt@keele.ac.uk
Periodic Health Examination and Injury Prediction in Professional Football (Soccer): Theoretically, the Prognosis is Good.
Van Der Windt
Authors
Abstract
In professional soccer and other elite sports, medical and performance screening of athletes (also termed periodic health examination or PHE) is common practice. The purposes of this are: (1) to assist in identifying prevalent conditions that may be a threat to safe participation, (2) to assist in setting benchmark targets for rehabilitation or performance purposes and (3) to assist clinicians in determining which athletes may be at risk of future injury and selecting appropriate injury prevention strategies to reduce the perceived risk. However, when using PHE as an injury prevention tool, are clinicians seeking to identify potential causes of injury or to predict future injury? This Current Opinion aims to examine the conceptual differences between aetiology and prediction of injury while relating these areas to the capabilities of PHE in practice. We also introduce the concept of prognosis-a broader approach that is closely related to prediction-and why this may have greater applicability to PHE of professional athletes.
Citation
Van Der Windt. (2018). Periodic Health Examination and Injury Prediction in Professional Football (Soccer): Theoretically, the Prognosis is Good. Sports Medicine, 2443-2448. https://doi.org/10.1007/s40279-018-0928-y
Acceptance Date | Apr 27, 2018 |
---|---|
Publication Date | Nov 1, 2018 |
Journal | Sports Medicine |
Print ISSN | 0112-1642 |
Publisher | Springer Verlag |
Pages | 2443-2448 |
DOI | https://doi.org/10.1007/s40279-018-0928-y |
Publisher URL | https://link.springer.com/article/10.1007%2Fs40279-018-0928-y |
Files
R Riley - Periodic Health Examination....pdf
(423 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search