Tsarbou, C.; Liveris, N.I.; Xergia, S.A.; Tsekoura, M.; Fousekis, K.; Tsepis, E. Pre-Season ACL Risk Classification of Professional and Semi-Professional Football Players, via a Proof-of-Concept Test Battery. Appl. Sci.2023, 13, 7780.
Tsarbou, C.; Liveris, N.I.; Xergia, S.A.; Tsekoura, M.; Fousekis, K.; Tsepis, E. Pre-Season ACL Risk Classification of Professional and Semi-Professional Football Players, via a Proof-of-Concept Test Battery. Appl. Sci. 2023, 13, 7780.
Tsarbou, C.; Liveris, N.I.; Xergia, S.A.; Tsekoura, M.; Fousekis, K.; Tsepis, E. Pre-Season ACL Risk Classification of Professional and Semi-Professional Football Players, via a Proof-of-Concept Test Battery. Appl. Sci.2023, 13, 7780.
Tsarbou, C.; Liveris, N.I.; Xergia, S.A.; Tsekoura, M.; Fousekis, K.; Tsepis, E. Pre-Season ACL Risk Classification of Professional and Semi-Professional Football Players, via a Proof-of-Concept Test Battery. Appl. Sci. 2023, 13, 7780.
Abstract
The study aimed to identify football players at high risk (HR) for anterior cruciate ligament (ACL) injury via a four-test battery and assess possible factors affecting classification. Ninety-one professional and semi-professional athletes participated in a field-based preseason screening. Aknowledged inter-limb asymmetry limits for quadriceps and hamstrings isometric strength, and Single Leg Triple Hop for distance, in addition to the Landing Error Scoring System (LESS) comprised the test-battery. Additional assessment of hip adductors and core stability completed the global functional profile of the players. Sixty-one players were identified as HR and 30 as low-risk (LR) for ACL injury. Test-battery classified adequately 78,0% of them (Chi-square= 27,485 p=,000), identifying only 4 misclassified cases in the LR group, this low number being important for avoiding improper treatment of injury-prone athletes. All partcipants were considered healthy, and history of a previously rehabilitated injury did not interfere with the results. LESS seems to be the optimal criterion for classification and also the best predictor of both the initial grouping and the secondary one with the wrong vs correct classification cases. The proposed test-battery provides a promising option for field-based preseason ACL-risk assessment of football players and needs to be studied prospectively.
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