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Forces predicted at the ankle during running

R G Burdett

    Medicine and Science in Sports and Exercise
    |January 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    This study developed a biomechanical ankle model to predict running forces. Predicted peak ankle joint forces reached 13.3 times body weight, with Achilles tendon forces up to 10 times body weight.

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    Area of Science:

    • Biomechanics
    • Orthopedics
    • Sports Medicine

    Background:

    • Understanding ankle joint forces during locomotion is crucial for injury prevention and rehabilitation.
    • Previous models often simplified the complex musculotendinous interactions of the ankle.

    Purpose of the Study:

    • To develop and validate a biomechanical model for predicting ankle joint and Achilles tendon forces during the running stance phase.
    • To investigate the relationship between muscle activation patterns and resultant joint forces.

    Main Methods:

    • A detailed biomechanical model of the ankle joint was created using cadaveric data for muscle insertion points and pull directions.
    • A minimum joint force solution was employed, assuming simultaneous activation of only two muscle groups.
    • Experimental data from three runners (force platform and cinematography) at 4.47 m/s were collected during the stance phase.

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    Main Results:

    • Peak resultant ankle joint forces were predicted to be 9.0–13.3 times body weight.
    • Peak Achilles tendon forces were predicted to range from 5.3–10.0 times body weight.
    • Sensitivity analysis revealed that minor parameter variations could lead to significant changes in predicted forces.

    Conclusions:

    • The developed biomechanical model provides valuable insights into the high forces experienced by the ankle during running.
    • Predicted Achilles tendon forces approached levels known to cause damage in cadaveric studies, highlighting potential injury risks.
    • Further refinement of muscle activation assumptions is warranted for enhanced model accuracy.