Bacon, Christopher, Mauger, Alexis R. (2017) Prediction of overuse injuries in professional U18-U21 footballers using metrics of training distance and intensity. Journal of Strength & Conditioning Research, 31 (11). pp. 3067-3076. ISSN 1064-8011. E-ISSN 1533-4287. (doi:10.1519/JSC.0000000000001744) (KAR id:59746)
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Official URL: http://dx.doi.org/10.1519/JSC.0000000000001744 |
Abstract
The most common injury in professional football is an overuse injury to the lower limb. A significant external risk factor of this injury is the mismanagement of training and match loads. The aim of the current study was to examine the predictability of overuse injuries in professional youth soccer players using volume and intensity variables derived from Global Positioning Systems (GPS). A total of 41 players (Age - 17.8 yrs±1.1 yrs) training and match loads were assessed. These external loads were measured over two competitive seasons for every training session and match for each individual. A linear regression was used to test the predictability of the injury based on load, which were grouped using loading groups calculated from squad weekly averages. The load groupings assigned were: Low load = 1 SD below the squad mean score; Normal load = ±1 SD from the squad mean; High load = 1 SD above squad mean. The analysis demonstrated that total distance significantly predicted overuse injury incidence rates (F(1, 39) = 6.482, p = 0.015), whereas high speed running meters could not (F(1, 39) = 1.003, p = 0.323). This study demonstrated that distance covered in training and matches can impact on the incidence of overuse injury in youth soccer players. Coaches should seek to monitor player training loads and incorporate this metric into their decision making for protecting players from overuse injury.
Item Type: | Article |
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DOI/Identification number: | 10.1519/JSC.0000000000001744 |
Subjects: | Q Science > QP Physiology (Living systems) |
Divisions: | Divisions > Division of Natural Sciences > Sport and Exercise Sciences |
Depositing User: | Lex Mauger |
Date Deposited: | 22 Mar 2017 15:27 UTC |
Last Modified: | 05 Nov 2024 10:52 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/59746 (The current URI for this page, for reference purposes) |
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