Literature DB >> 32119563

What Can a Jump Tell Us About Elbow Injuries in Professional Baseball Pitchers?

John Mayberry1, Scott Mullen2, Scott Murayama3.   

Abstract

BACKGROUND: The incidence rate of elbow injuries has been rising in recent years among professional baseball pitchers. Determining valid screening procedures that allow practitioners to identify pitchers at an increased risk of such injuries is therefore of critical importance.
PURPOSE: To validate the use of countermovement jump (CMJ) tests as a diagnostic tool for pitcher conditioning. STUDY
DESIGN: Case-control study; Level of evidence, 3.
METHODS: More than 500 pitchers at a single professional baseball organization performed preseason CMJ assessments on a force plate before the 2013 to 2018 seasons. Three measurements were extracted from ground-reaction force data during the test: eccentric rate of force development (ERFD), average vertical concentric force (AVCF), and concentric vertical impulse (CVI). Athletic trainers at the organization collected detailed information on elbow and shoulder injury rates as well as workload (pitch count) throughout the rest of the season. Poisson regression models were fit to investigate the dependency of injury rates on CMJ test performance.
RESULTS: ERFD, CVI, and AVCF were all significant predictors of elbow injury risk after accounting for pitcher age, weight, and workload. The analysis identified 3 specific indicators of heightened risk based on the results of a CMJ scan: low ERFD, a combination of low AVCF and high CVI, and a combination of high AVCF and low CVI. In contrast, shoulder injury risk was roughly independent of all 3 CMJ test measurements.
CONCLUSION: This study supports the hypothesis of the entire kinetic chain's involvement in pitching by establishing a link between CMJ test performance and elbow injury risk in professional baseball pitchers. CMJ assessment may be a powerful addition to injury risk alert and prevention protocols. Pitchers in high-risk groups can be prescribed specific exercise plans to improve movement imbalances.

Entities:  

Keywords:  Poisson regression; countermovement jump test; elbow injuries; vertical ground-reaction forces

Year:  2020        PMID: 32119563     DOI: 10.1177/0363546520905543

Source DB:  PubMed          Journal:  Am J Sports Med        ISSN: 0363-5465            Impact factor:   6.202


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  4 in total

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