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Prediction of ACL Injuries from Vertical Jump Kinetics in Division 1 Collegiate Athletes

Pontillo, M, Hines SM, & Sennett, BJ. (2021). Prediction of ACL Injuries from Vertical Jump Kinetics in Division 1 Collegiate Athletes. The International Journal of Sports Physical Therapy, 16(1), 156-161, DOI: 10.26603/001c.18819.

Key takeaways:  

  • EXPLODE different between ACL (⇩) and healthy (⇧) groups
  • DRIVE different between ACL (⇧) and healthy (⇩) groups
  • LOAD:EXPLODE different between ACL (⇧) and healthy (⇩) groups
  • EXPLODE:DRIVE different between ACL (⇩) and healthy (⇧) groups
  • EXPLODE and DRIVE predict ACL injury
  • EXPLODE predicts ACL injury independently
  • DRIVE predicts ACL injury independently

Population: 278 Division I varsity athletes.

Summary

The questions covered:

  • Which force plate variables from a vertical jump task could identify collegiate athletes who sustained an ACL injury?

Background: The incidence of ACL injuries continues to rise secondary to an increase in sport participation. Evidence supports the use of force plate testing to quantify kinetics during rehabilitation after injury and recovery; however, there is limited current research regarding if jump kinetics can identify athletes who are at higher risk for injury. Altered kinetics could potentially lead to abnormal force dissipation and resultant injury.

Purpose: The purpose of this investigation was to identify whether the force-time variables from vertical jumps could predict ACL injuries in collegiate athletes.

Study Design: Retrospective cohort.

Methods: Vertical jump testing is performed by all healthy varsity collegiate athletes at several intervals throughout the athletic year at a Division I institution using a commercially available force plate system with dedicated software. Athletes who sustained an ACL injury between 1/1/15 and 6/1/19 were identified (n=16) and compared to healthy athletes who participated in the same sports (n = 262). ACL injuries were considered for this study if they occurred no more than 10 weeks after a jump test. The outcome variables were load, explode, and drive, operationally defined as the average eccentric rate of force development, average relative concentric force, and concentric relative impulse, respectively, which the system normalized to T scores. Mann-Whitney U tests were used to assess group differences for load, explode, drive, and the ratio between the variables. Logistic regression was used to determine if the battery of variables could predict whether or not an athlete would sustain an ACL injury. The p-value was set to 0.10 for the Mann-Whitney U tests, and 0.05 for the logistic regression.

Results: Significant differences between the ACL and healthy groups were seen for explode (p=0.08), drive (p=0.06), load:explode ratio (p=0.06), and explode:drive ratio (p=0.03). Explode and drive, when entered into the regression equation, showed the ability to predict injury, 𝝌2 = 6.8, df = 2, p=0.03.

Conclusions: The vertical jump force plate variables were able to identify athletes who sustained an ACL injury within 66 days of testing. Athletes who sustained an ACL injury demonstrated altered kinetics and less ability to transmit forces during the vertical jump.

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