Achilles tendon mechanical properties during walking and running are underestimated when its curvature is not accounted for.


Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
05 2022
Historique:
received: 27 11 2021
revised: 07 03 2022
accepted: 08 04 2022
pubmed: 27 4 2022
medline: 25 5 2022
entrez: 26 4 2022
Statut: ppublish

Résumé

Achilles tendon (AT) mechanical properties can be estimated using an inverse dynamic approach, taking into account the tendon internal moment arm (IMA) and its kinematic behavior. Although AT presents a curvilinear line of action, a straight-line function to estimate IMA and AT length is often utilized in the literature. In this study, we combined kinetic, kinematic and ultrasound data to understand the impact of two different approaches (straight-line vs. curvilinear) in determining AT mechanical properties in vivo (during walking and running at the self-selected speed). AT force and power were calculated based on data of AT IMA and AT length derived by both respective methods. All investigated parameters were significantly affected by the method utilized (paired t-test; p < 0.05): when using the curvilinear method IMA was about 5% lower and AT length about 1.2% higher, whereas peak and mean values of AT force and power were 5% higher when compared to the straight-line method (both in walking and running). Statistic-parametric mapping (SMP) analysis revealed significant differences in IMA during the early and the late stance phase of walking and during the late stance phase of running (p < 0.01); SPM revealed significant differences also in AT length during the entire stance phase in both locomotion modes (p < 0.01). These results confirm and extend previous findings to human locomotion: neglecting the AT curvature might be a source of error, resulting in underestimates not only of internal moment arm and tendon length, but also of tendon force and power.

Identifiants

pubmed: 35472710
pii: S0021-9290(22)00149-X
doi: 10.1016/j.jbiomech.2022.111095
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111095

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Paolo Tecchio (P)

Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy; Human Movement Science, Faculty of Sports Science, Ruhr University Bochum, Bochum, Germany. Electronic address: paolo.tecchio@ruhr-uni-bochum.de.

Paola Zamparo (P)

Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy. Electronic address: paola.zamparo@univr.it.

Francesca Nardello (F)

Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy. Electronic address: Francesca.nardello@univr.it.

Andrea Monte (A)

Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Italy. Electronic address: Andrea.monte@univr.it.

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