Literature DB >> 27421650

Joint dynamics of rear- and fore-foot unplanned sidestepping.

Cyril J Donnelly1, Chamnan Chinnasee2, Gillian Weir3, Siriporn Sasimontonkul4, Jacqueline Alderson3.   

Abstract

OBJECTIVES: Compare the lower-limb mechanics and anterior cruciate ligament (ACL) injury risk of athletes using a habitual rear-foot (RF) and fore-foot (FF) fall pattern during unplanned sidestepping (UnSS).
DESIGN: Experimental cross-sectional.
METHODS: Nineteen elite female field hockey players attended one biomechanical motion capture testing session, which consisted of a random series of pre-planned and unplanned sidestepping sport tasks. Following data collection, participants were classified as possessing a habitual RF or FF fall pattern during UnSS. Hip, knee and ankle joint angles, moments, instantaneous powers and net joint work were calculated during weight acceptance. Between group differences were evaluated using independent sample t-tests (α=0.05).
RESULTS: Athletes using a habitual RF fall pattern during UnSS absorbed significantly more work and power through their knee joint (p<0.001), which was coupled with significantly elevated externally applied peak non-sagittal plane peak ankle moments (p<0.05) as well as peak flexion and abduction knee moments (p<0.005). Athletes using a habitual FF fall pattern during UnSS absorbed more power through their ankle joint (p<0.001).
CONCLUSIONS: A RF fall pattern during UnSS places a large mechanical demand on the knee joint, which is associated with elevated ACL injury risk. Conversely, a FF fall pattern placed a large mechanical demand on the ankle joint. Modifying an athlete's foot fall pattern during UnSS may be viable technique recommendation when returning from knee or ankle injury.
Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Foot strike; Kinetics; Power; Rehabilitation; Work

Mesh:

Year:  2016        PMID: 27421650     DOI: 10.1016/j.jsams.2016.06.002

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  5 in total

1.  Predicting athlete ground reaction forces and moments from motion capture.

Authors:  William R Johnson; Ajmal Mian; Cyril J Donnelly; David Lloyd; Jacqueline Alderson
Journal:  Med Biol Eng Comput       Date:  2018-03-17       Impact factor: 2.602

Review 2.  Change-of-Direction Biomechanics: Is What's Best for Anterior Cruciate Ligament Injury Prevention Also Best for Performance?

Authors:  Aaron S Fox
Journal:  Sports Med       Date:  2018-08       Impact factor: 11.136

3.  Effect of Foot-Planting Strategy on Anterior Cruciate Ligament Loading in Women During a Direction Diversion Maneuver: A Musculoskeletal Modeling Approach.

Authors:  Jusung Lee; Prabhat Pathak; Siddhartha Bikram Panday; Jeheon Moon
Journal:  Orthop J Sports Med       Date:  2020-11-19

4.  Differences in Muscle Activities and Kinematics between Forefoot Strike and Rearfoot Strike in the Lower Limb during 180° Turns.

Authors:  Naruto Yoshida; Shun Kunugi; Takehiro Konno; Akihiko Masunari; Satoru Nishida; Takashi Koumura; Naoyuki Kobayashi; Shumpei Miyakawa
Journal:  Int J Sports Phys Ther       Date:  2021-06-01

5.  Biomechanical Determinants of Performance and Injury Risk During Cutting: A Performance-Injury Conflict?

Authors:  Thomas Dos'Santos; Christopher Thomas; Alistair McBurnie; Paul Comfort; Paul A Jones
Journal:  Sports Med       Date:  2021-04-03       Impact factor: 11.136

  5 in total

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