Myotonometry is Capable of Reliably Obtaining Trunk and Thigh Muscle Stiffness Measures in Military Cadets During Standing and Squatting Postures.


Journal

Military medicine
ISSN: 1930-613X
Titre abrégé: Mil Med
Pays: England
ID NLM: 2984771R

Informations de publication

Date de publication:
19 May 2023
Historique:
received: 20 02 2023
revised: 19 04 2023
accepted: 04 05 2023
medline: 20 5 2023
pubmed: 20 5 2023
entrez: 19 5 2023
Statut: aheadofprint

Résumé

Low back and lower extremity injuries are responsible for the highest percentage of musculoskeletal injuries in U.S. Army soldiers. Execution of common soldier tasks as well as army combat fitness test events such as the three-repetition maximum deadlift depends on healthy functioning trunk and lower extremity musculature to minimize the risk of injury. To assist with appropriate return to duty decisions following an injury, reliable and valid tests and measures must be applied by military health care providers. Myotonometry is a noninvasive method to assess muscle stiffness, which has demonstrated significant associations with physical performance and musculoskeletal injury. The aim of this study is to determine the test-retest reliability of myotonometry in lumbar spine and thigh musculature across postures (standing and squatting) that are relevant to common soldier tasks and the maximum deadlift. Repeat muscle stiffness measures were collected in 30 Baylor University Army Cadets with 1 week between each measurement. Measures were collected in the vastus lateralis (VL), biceps femoris (BF), lumbar multifidus (LM), and longissimus thoracis (LT) muscles with participants in standing and squatting positions. Intraclass correlation coefficients (ICCs3,2) were estimated, and their 95% CIs were calculated based on a mean rating, mixed-effects model. The test-retest reliability (ICC3,2) of the stiffness measures was good to excellent in all muscles across the standing position (ICCs: VL = 0.94 [0.87-0.97], BF = 0.97 [0.93-0.98], LM = 0.96 [0.91-0.98], LT = 0.81 [0.59-0.91]) and was excellent in all muscles across the squatting position (ICCs: VL = 0.95 [0.89-0.98], BF = 0.94 [0.87-0.97], LM = 0.96 [0.92-0.98], LT = 0.93 [0.86-0.97]). Myotonometry can reliably acquire stiffness measures in trunk and lower extremity muscles of healthy individuals in standing and squatting postures. These results may expand the research and clinical applications of myotonometry to identify muscular deficits and track intervention effectiveness. Myotonometry should be used in future studies to investigate muscle stiffness in these body positions in populations with musculoskeletal injuries and in research investigating the performance and rehabilitative intervention effectiveness.

Identifiants

pubmed: 37208314
pii: 7174259
doi: 10.1093/milmed/usad179
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Telemedicine and Advanced Technology Research Center
ID : 12565

Informations de copyright

Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States 2023. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Auteurs

Jared M McGowen (JM)

Department of Health, Human Performance, and Recreation, Baylor University, One Bear Place, Waco, TX 76798, USA.

Carrie W Hoppes (CW)

Doctoral Program in Physical Therapy, Army-Baylor University, Joint Base San Antonio, Fort Sam Houston, TX 78234, USA.

Jeff S Forsse (JS)

Department of Health, Human Performance, and Recreation, Baylor University, One Bear Place, Waco, TX 76798, USA.

Stephanie R Albin (SR)

School of Physical Therapy, Regis University, Denver, CO 80221, USA.

John Abt (J)

Children's Health Andrews Institute for Orthopaedics and Sports Medicine, Plano, TX 75024, USA.

Shane L Koppenhaver (SL)

Department of Health, Human Performance, and Recreation, Baylor University, One Bear Place, Waco, TX 76798, USA.
Doctoral Program in Physical Therapy, Baylor University, One Bear Place, Waco, TX 76798, USA.

Classifications MeSH