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The application of musculoskeletal modeling to investigate gender bias in non-contact ACL injury rate during single-leg landings

Author

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  • Nicholas Ali
  • Michael Skipper Andersen
  • John Rasmussen
  • D. Gordon E. Robertson
  • Gholamreza Rouhi

Abstract

The central tenet of this study was to develop, validate and apply various individualised 3D musculoskeletal models of the human body for application to single-leg landings over increasing vertical heights and horizontal distances. While contributing to an understanding of whether gender differences explain the higher rate of non-contact anterior cruciate ligament (ACL) injuries among females, this study also correlated various musculoskeletal variables significantly impacted by gender, height and/or distance and their interactions with two ACL injury-risk predictor variables; peak vertical ground reaction force (VGRF) and peak proximal tibia anterior shear force (PTASF). Kinematic, kinetic and electromyography data of three male and three female subjects were measured. Results revealed no significant gender differences in the musculoskeletal variables tested except peak VGRF (p = 0.039) and hip axial compressive force (p = 0.032). The quadriceps and the gastrocnemius muscle forces had significant correlations with peak PTASF (r = 0.85, p < 0.05 and r = − 0.88, p < 0.05, respectively). Furthermore, hamstring muscle force was significantly correlated with peak VGRF (r = − 0.90, p < 0.05). The ankle flexion angle was significantly correlated with peak PTASF (r = − 0.82, p < 0.05). Our findings indicate that compared to males, females did not exhibit significantly different muscle forces, or ankle, knee and hip flexion angles during single-leg landings that would explain the gender bias in non-contact ACL injury rate. Our results also suggest that higher quadriceps muscle force increases the risk, while higher hamstring and gastrocnemius muscle forces as well as ankle flexion angle reduce the risk of non-contact ACL injury.

Suggested Citation

  • Nicholas Ali & Michael Skipper Andersen & John Rasmussen & D. Gordon E. Robertson & Gholamreza Rouhi, 2014. "The application of musculoskeletal modeling to investigate gender bias in non-contact ACL injury rate during single-leg landings," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(14), pages 1602-1616, October.
  • Handle: RePEc:taf:gcmbxx:v:17:y:2014:i:14:p:1602-1616
    DOI: 10.1080/10255842.2012.758718
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    References listed on IDEAS

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    1. M.S. Andersen & M. Damsgaard & B. MacWilliams & J. Rasmussen, 2010. "A computationally efficient optimisation-based method for parameter identification of kinematically determinate and over-determinate biomechanical systems," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 13(2), pages 171-183.
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