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Prediction of overuse injuries in professional U18-U21 footballers using metrics of training distance and intensity

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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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
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: 09 Dec 2022 01:06 UTC
Resource URI: (The current URI for this page, for reference purposes)
Mauger, Alexis R.:
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