Literature DB >> 29526409

Marked asymmetry in vertical force (but not contact times) during running in ACL reconstructed athletes <9 months post-surgery despite meeting functional criteria for return to sport.

Athol Thomson1, Einar Einarsson2, Clint Hansen2, Chris Bleakley3, Rod Whiteley2.   

Abstract

OBJECTIVES: Compare maximum plantar force (Fmax) during running in soccer players following anterior cruciate ligament reconstruction (ACLR) as they pass return to sport (RTS) criteria.
DESIGN: Case control study.
METHODS: Soccer players after ACLR (n=16) and matched healthy controls (n=16) ran on a treadmill at 12, 14 and 16km/h while plantar loading data was measured using an in-shoe pressure system (Pedar-X, Novel). Fmax and contact time of the injured and uninjured limbs in athletes <9months post-ACLR and those ≥9months ACLR were compared to healthy players (no ACLR).
RESULTS: Significant differences with large effect sizes in Fmax asymmetry were seen at all running speeds for the athletes <9months ACLR compared to those ≥9months, and the healthy subjects. Fmax difference peaked at 16km/h; 32±11%BW in <9months ACLR group compared to 6±5%BW in ≥9months group; ES=1.67, p<0.01. There was a non-significant trend for increasing asymmetry with increasing speed for subjects who were <9months after ACLR while the reverse was true for those ≥9 months and the healthy subjects.
CONCLUSIONS: Relatively large unloading of the ACLR limb (but not differences in contact times) are seen during running for athletes <9months post-ACLR despite having completed functional criteria required to permit RTS training. These asymmetries appear to slightly increase with increasing speed, and the reverse is true for healthy controls and those ≥9months after ACLR surgery.
Copyright © 2018 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Keywords:  ACL reconstruction; Plantar forces; Running; Soccer

Mesh:

Year:  2018        PMID: 29526409     DOI: 10.1016/j.jsams.2018.02.009

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


  4 in total

1.  Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players.

Authors:  Salvatore Tedesco; Colum Crowe; Andrew Ryan; Marco Sica; Sebastian Scheurer; Amanda M Clifford; Kenneth N Brown; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2020-05-27       Impact factor: 3.576

2.  Running Velocity Does Not Influence Lower Limb Mechanical Asymmetry.

Authors:  Olivier Girard; Jean-Benoit Morin; Joong Ryu; Paul Read; Nathan Townsend
Journal:  Front Sports Act Living       Date:  2019-09-24

3.  Between-Limb Symmetry in ACL and Tibiofemoral Contact Forces in Athletes After ACL Reconstruction and Clearance for Return to Sport.

Authors:  Argyro Kotsifaki; Sam Van Rossom; Rod Whiteley; Vasileios Korakakis; Roald Bahr; Pieter D'Hooghe; Emmanuel Papakostas; Vasileios Sideris; Abdulaziz Farooq; Ilse Jonkers
Journal:  Orthop J Sports Med       Date:  2022-04-11

Review 4.  Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications.

Authors:  Andrei Drăgulinescu; Ana-Maria Drăgulinescu; Gabriela Zincă; Doina Bucur; Valentin Feieș; Dumitru-Marius Neagu
Journal:  Sensors (Basel)       Date:  2020-08-02       Impact factor: 3.576

  4 in total

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