Effect of Periodic Voluntary Interventions on Trapezius Activation and Fatigue During Light Upper Limb Activity.


Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
11 2023
Historique:
medline: 7 11 2023
pubmed: 9 12 2021
entrez: 8 12 2021
Statut: ppublish

Résumé

The effects of diverse periodic interventions on trapezius muscle fatigue and activity during a full day of computer work were investigated. Musculoskeletal disorders, including trapezius myalgia, may be associated with repeated exposure to prolonged low-level activity, even during light upper-extremity tasks including computer work. Thirty healthy adults participated in a study that simulated two 6-hour workdays of computer work. One workday involved imposed periodic passive and active interventions aimed at disrupting trapezius contraction monotony (Intervention day), whereas the other workday did not (Control day). Trapezius muscle activity was quantified by the 3-dimensional acceleration of the jolt movement of the acromion produced by electrically induced muscle twitches. The spatio-temporal distribution of trapezius activity was measured through high-density surface electromyography (HD-EMG). The twitch acceleration magnitude in one direction was significantly different across measurement periods ( Disruption of trapezius monotonous activity via brief voluntary contractions effectively modified the ensuing contraction pattern (twitch acceleration along one axis, active epochs reduction, and larger spatial distribution). The observed changes support an associated reduction of muscle fatigue. This study suggests that disruptive intervention activity is efficient in reducing the impact of trapezius muscle fatigue.

Sections du résumé

OBJECTIVE
The effects of diverse periodic interventions on trapezius muscle fatigue and activity during a full day of computer work were investigated.
BACKGROUND
Musculoskeletal disorders, including trapezius myalgia, may be associated with repeated exposure to prolonged low-level activity, even during light upper-extremity tasks including computer work.
METHODS
Thirty healthy adults participated in a study that simulated two 6-hour workdays of computer work. One workday involved imposed periodic passive and active interventions aimed at disrupting trapezius contraction monotony (Intervention day), whereas the other workday did not (Control day). Trapezius muscle activity was quantified by the 3-dimensional acceleration of the jolt movement of the acromion produced by electrically induced muscle twitches. The spatio-temporal distribution of trapezius activity was measured through high-density surface electromyography (HD-EMG).
RESULTS
The twitch acceleration magnitude in one direction was significantly different across measurement periods (
CONCLUSION
Disruption of trapezius monotonous activity via brief voluntary contractions effectively modified the ensuing contraction pattern (twitch acceleration along one axis, active epochs reduction, and larger spatial distribution). The observed changes support an associated reduction of muscle fatigue.
APPLICATION
This study suggests that disruptive intervention activity is efficient in reducing the impact of trapezius muscle fatigue.

Identifiants

pubmed: 34875887
doi: 10.1177/00187208211050723
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1491-1505

Subventions

Organisme : NCATS NIH HHS
ID : TL1 TR003100
Pays : United States

Auteurs

Dongwon Kim (D)

EpicWide, LLC, Baltimore, MD, USA.

Corine Nicoletti (C)

Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
Institute of Health Sciences, Zurich University of Applied Sciences, Winterthur, Switzerland.

Subaryani D H Soedirdjo (SDH)

Laboratory for Engineering of the Neuromuscular System (LISiN), Department of Electronics and Telecommunications, Politecnico di, Torino, Turin, Italy.
Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Raziyeh Baghi (R)

Department of Physical Therapy and Rehabilitation Science, School of Medicine, University of Maryland, Baltimore, MD, USA.

Maria-Gabriela Garcia (MG)

Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
Department of Industrial Engineering, School of Engineering, Universidad San Francisco de Quito, Quito, Ecuador.

Thomas Läubli (T)

Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
Institute of Occupational and Social Medicine and Health Services Research, University of Tübingen, Tübingen, Germany.

Pascal Wild (P)

French National Research and Safety Institute (INRS), Vandœuvre lès Nancy, France.

Alberto Botter (A)

Laboratory for Engineering of the Neuromuscular System (LISiN), Department of Electronics and Telecommunications, Politecnico di, Torino, Turin, Italy.

Bernard J Martin (BJ)

Department of Health Sciences and Technology, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
Department of Industrial and Operations Engineering, School of Engineering, University of Michigan, Ann Arbor, MI, USA.

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Classifications MeSH