Human ankle joint movements during walking are probably not determined by talar morphology.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
16 08 2022
Historique:
received: 26 04 2022
accepted: 03 08 2022
entrez: 16 8 2022
pubmed: 17 8 2022
medline: 19 8 2022
Statut: epublish

Résumé

Knowledge about the orientation of a representative ankle joint axis is limited to studies of tarsal morphology and of quasistatic movements. The aim of our study was therefore to determine the development of the axis orientation during walking. Intracortical bone pins were used to monitor the kinematics of the talus and tibia of five healthy volunteers. The finite helical axis was determined for moving windows of 10% stance phase and its orientation reported if the rotation about the axis was more than 2°. A representative axis for ankle dorsi- and plantarflexion was also estimated based on tarsal morphology. As reported by literature, the morphology-based axis was inclined more medially upwards for dorsiflexion than for plantarflexion. However, when a mean of the finite helical axis orientations was calculated for each walking trial for dorsiflexion (stance phase 15-25%) and for plantarflexion (stance phase 85-95%), the inclination was less medially upwards in dorsiflexion than in plantarflexion in four out of five participants. Thus, it appears that the inclination of a representative ankle joint axis for dynamic loading situations cannot be estimated from either morphology or quasi-static experiments. Future studies assessing muscle activity, ligament behaviour and articulating surfaces may help to identify the determining factors for the orientation of a representative ankle joint axis.

Identifiants

pubmed: 35974121
doi: 10.1038/s41598-022-17984-5
pii: 10.1038/s41598-022-17984-5
pmc: PMC9381502
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13856

Subventions

Organisme : Swiss National Science Foundation
ID : IZK0Z2_128902
Pays : Switzerland

Informations de copyright

© 2022. The Author(s).

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Auteurs

Peter Wolf (P)

Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland. peter.wolf@hest.ethz.ch.

Roman Moor (R)

Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.

Arne Lundberg (A)

Department of Clinical Science, Intervention and Technology (Clintec), Karolinska Institute, Stockholm, Sweden.

Christopher Nester (C)

School of Allied Health Professions, University of Keele, Keele, UK.

Anton Arndt (A)

Department of Clinical Science, Intervention and Technology (Clintec), Karolinska Institute, Stockholm, Sweden.
The Swedish School of Sport and Health Sciences (GIH), Stockholm, Sweden.

Eveline Graf (E)

Institute of Physiotherapy, School of Health Sciences, Zurich University of Applied Sciences, Winterthur, Switzerland.

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Classifications MeSH