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Improving Mobility Performance in Wheelchair Basketball.

Thom T J Veeger, Annemarie M H de Witte, Monique A M Berger

    Journal of Sport Rehabilitation
    |October 17, 2017
    PubMed
    Summary
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    Wheelchair basketball mobility performance is best predicted by athlete characteristics, wheelchair setup, and the interface between them. Optimizing these factors, like maximal isometric force and camber angle, can significantly enhance player performance.

    Area of Science:

    • Sports Science
    • Biomechanics
    • Rehabilitation Engineering

    Background:

    • Wheelchair basketball is a dynamic sport requiring high levels of mobility performance.
    • Understanding the key determinants of mobility is crucial for athlete development and equipment optimization.

    Purpose of the Study:

    • To identify the most significant predictors of wheelchair basketball mobility performance.
    • To analyze athlete, wheelchair, and athlete-wheelchair interface characteristics.

    Main Methods:

    • Sixty experienced wheelchair basketball players underwent a standardized mobility performance test.
    • Forward stepwise linear regression analysis was used to evaluate 33 distinct characteristics.

    Main Results:

    Keywords:
    Paralympicathletic performancewheelchair configurationwheelchair-athlete interface

    Related Experiment Videos

  • Eight characteristics significantly predicted mobility performance.
  • Positive predictors included classification, experience, maximal isometric force, wheel axis height, hand rim diameter, camber angle, and shoulder-to-rear wheel axis distance.
  • Front seat-to-footrest distance was negatively associated with performance.

    • Conclusions:

    • Key modifiable factors for improving wheelchair basketball mobility performance have been identified.
    • These include training-related aspects (maximal isometric force) and wheelchair configurations (e.g., camber angle).
    • Findings provide actionable insights for coaches and biomechanical specialists to optimize athlete and equipment parameters.