Effective stretching position of the coracobrachialis muscle.


Journal

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

Informations de publication

Date de publication:
07 05 2021
Historique:
received: 02 12 2020
revised: 10 03 2021
accepted: 13 03 2021
pubmed: 2 4 2021
medline: 28 5 2021
entrez: 1 4 2021
Statut: ppublish

Résumé

An increase in the stiffness of the coracobrachialis muscle can restrain proper movement of the glenohumeral joint and scapula during arm elevation. Therefore, muscle stiffness should be reduced through stretching. The aim of this study was to determine the effective stretching position of the coracobrachialis muscle using ultrasound shear wave elastography imaging to evaluate the stiffness of individual muscles. Eighteen healthy young men participated in this study. The shear modulus of the coracobrachialis muscle was measured at the following eight shoulder positions: i) 20° abduction (Rest), ii) maximal external rotation at 90° abduction (ER2), iii) maximal internal rotation at 90° abduction (IR2), iv) maximal flexion (Flex), v) maximal extension (Ext), vi) maximal horizontal abduction at 90° abduction (Hab), vii) maximal horizontal abduction and maximal external rotation at 90° abduction (HabER), and viii) maximal horizontal abduction and maximal internal rotation at 90° abduction (HabIR). The shear modulus in each position was compared with that of Rest using the Wilcoxon signed-rank test, and a multiple comparison test was performed among the positions that exhibited significant difference. The shear modulus of all stretching positions was significantly higher than that of Rest, except for Flex. Moreover, the shear moduli of IR2, Ext, Hab, HabER, and HabIR were significantly higher than that of ER2. The shear modulus of Ext was significantly higher than that of HabIR. The coracobrachialis muscle could be stretched effectively at IR2, Ext, Hab, HabER, and HabIR. Among these positions, Ext, Hab, and HabER are recommended for clinical settings.

Identifiants

pubmed: 33794413
pii: S0021-9290(21)00170-6
doi: 10.1016/j.jbiomech.2021.110390
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110390

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Kotono Kobayashi (K)

Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan. Electronic address: kobayashi.kotono.75x@st.kyoto-u.ac.jp.

Jun Umehara (J)

Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Suita, Japan; Research Fellow of Japan Society for the Promotion of Science, Chiyoda-ku, Japan.

Sayaka Nakao (S)

Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Noriaki Ichihashi (N)

Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

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