2023
DOI: 10.1177/03635465231194778
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Total Score of Athleticism: Profiling Strength and Power Characteristics in Professional Soccer Players After Anterior Cruciate Ligament Reconstruction to Assess Readiness to Return to Sport

Luca Maestroni,
Anthony Turner,
Konstantinos Papadopoulos
et al.

Abstract: Background: There is no consensus on the optimal testing procedure to determine return-to-sport (RTS) readiness after anterior cruciate ligament (ACL) reconstruction. Current approaches use limb symmetry across a range of tests, but this does not consider a patient’s level of athleticism or benchmarks relative to his or her noninjured counterparts. Purpose: To examine the utility of the Total Score of Athleticism (TSA), a composite scale including strength, power, and reactive strength assessments, to aid RTS … Show more

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Cited by 5 publications
(3 citation statements)
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“…Results for jumps (CMJ, CMJ free arms, DJ 40 cm, STF10 jumps, standing long jump) and sprints (5 m, 10 m, 15 m and 20 m) were converted to Z – scores. To compute the Z-scores for each test, the formula employed was as follows: Z -score = (Player's score - Mean of the Cohort)/Standard Deviation of the Cohort ( 30 ). OFS, JFS and SFS presented sum of Z -scores for jumps and inverted Z -scores for sprinting standardized by the number of tests used (9 for OFS, 5 for JFS and 4 for SFS) to avoid the influence of different numbers of tests used.…”
Section: Methodsmentioning
confidence: 99%
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“…Results for jumps (CMJ, CMJ free arms, DJ 40 cm, STF10 jumps, standing long jump) and sprints (5 m, 10 m, 15 m and 20 m) were converted to Z – scores. To compute the Z-scores for each test, the formula employed was as follows: Z -score = (Player's score - Mean of the Cohort)/Standard Deviation of the Cohort ( 30 ). OFS, JFS and SFS presented sum of Z -scores for jumps and inverted Z -scores for sprinting standardized by the number of tests used (9 for OFS, 5 for JFS and 4 for SFS) to avoid the influence of different numbers of tests used.…”
Section: Methodsmentioning
confidence: 99%
“…Prediction models using anthropometric and fitness characteristics can predict future performance in adulthood with a reasonable degree of precision ( 29 ). Nonetheless, considering talent identification it is crucial to consider various factors including maturity status, biological age, training age, training allocation, testing procedures, and the status of cohorts and athletes (recreational, semi-professional, or professional) ( 25 , 28 , 30 ).…”
Section: Introductionmentioning
confidence: 99%
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