Literature DB >> 23387967

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

Nicholas Ali1, 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.

Entities:  

Keywords:  joint reaction forces; muscle activity; muscle forces; non-contact ACL injury; proximal tibia anterior shear force

Mesh:

Year:  2013        PMID: 23387967     DOI: 10.1080/10255842.2012.758718

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  5 in total

1.  The effects of posterior cruciate ligament deficiency on posterolateral corner structures under gait- and squat-loading conditions: A computational knee model.

Authors:  K-T Kang; Y-G Koh; M Jung; J-H Nam; J Son; Y H Lee; S-J Kim; S-H Kim
Journal:  Bone Joint Res       Date:  2017-01       Impact factor: 5.853

2.  Biomechanical evaluation of the influence of posterolateral corner structures on cruciate ligaments forces during simulated gait and squatting.

Authors:  Kyoung-Tak Kang; Yong-Gon Koh; Ji-Hoon Nam; Moonki Jung; Sung-Jae Kim; Sung-Hwan Kim
Journal:  PLoS One       Date:  2019-04-04       Impact factor: 3.240

3.  Effects of the Anterolateral Ligament and Anterior Cruciate Ligament on Knee Joint Mechanics: A Biomechanical Study Using Computational Modeling.

Authors:  Kyoung-Tak Kang; Yong-Gon Koh; Kyoung-Mi Park; Chong-Hyuk Choi; Min Jung; Hyunik Cho; Sung-Hwan Kim
Journal:  Orthop J Sports Med       Date:  2022-04-05

4.  Effect of Dropping Height on the Forces of Lower Extremity Joints and Muscles during Landing: A Musculoskeletal Modeling.

Authors:  Wenxin Niu; Lejun Wang; Chenghua Jiang; Ming Zhang
Journal:  J Healthc Eng       Date:  2018-07-02       Impact factor: 2.682

5.  The anterolateral ligament is a secondary stabilizer in the knee joint: A validated computational model of the biomechanical effects of a deficient anterior cruciate ligament and anterolateral ligament on knee joint kinematics.

Authors:  Kyoung-Tak Kang; Yong-Gon Koh; Kyoung-Mi Park; Chong-Hyuck Choi; Min Jung; Jucheol Shin; Sung-Hwan Kim
Journal:  Bone Joint Res       Date:  2019-12-03       Impact factor: 5.853

  5 in total

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