title: Hop tests as predictors of dynamic knee stability.
abstract: Single leg hop tests are commonly used as physical performance measures of function and are also commonly used to evaluate progress in knee rehabilitation programs, particularly for individuals recovering from anterior cruciate ligament injury or reconstructive surgery. While there is some evidence that hop tests may show promise as a predictive measure for identifying individuals who are at risk for recurrent dynamic instability, further work is needed to clearly define the role of hop test measurements for this purpose. The purposes of this clinical commentary are to review the research that has been done to establish hop tests as a physical performance measure of function, to discuss neuromuscular and biomechanical considerations related to hop performance and dynamic knee stability, to discuss existing evidence that supports the potential for hop tests as a predictor of dynamic knee stability, and to discuss considerations for future studies that are designed to more clearly define the role of hop tests in predicting dynamic knee stability.
authors.affiliation: Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, PA 15260, USA. kfitzger+@pitt.edu
authors.forename: G K
authors.initials: GK
authors.lastname: Fitzgerald
authors.forename: S M
authors.initials: SM
authors.lastname: Lephart
authors.forename: J H
authors.initials: JH
authors.lastname: Hwang
authors.forename: R S
authors.initials: RS
authors.lastname: Wainner
mesh_terms: D000070598:Anterior Cruciate Ligament Injuries; D001696:Biomechanical Phenomena; D004576:Electromyography; D005260:Female; D006801:Humans; D007593:Joint Instability / Q000503:physiopathology* / Q000534:rehabilitation*; D007718:Knee Injuries / Q000503:physiopathology / Q000534:rehabilitation*; D007719:Knee Joint / Q000503:physiopathology*; D008297:Male; D018482:Muscle, Skeletal / Q000503:physiopathology; D011237:Predictive Value of Tests; D012421:Rupture; D012737:Sex Factors