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Trapezius muscle activity variation during computer work performed by individuals with and without shoulder-neck pain
Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, USA.
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0003-1443-6211
Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, USA.ORCID iD: 0000-0001-9327-6177
2019 (English)In: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 81, article id 102908Article in journal (Refereed) Published
Abstract [en]

This study aimed at determining the extent to which individuals with neck-shoulder pain and non-symptomatic individuals differ in muscle activation patterns, when performing computer work, as quantified by exposure variation analysis (EVA). As a secondary aim, we also aimed to quantify the day-to-day reliability of EVA variables describing trapezius muscle activation in a non-symptomatic control group. Thirteen touch-typing computer users (pain: n=5, non-symptomatic: n=8) completed three pre-selected computer tasks in the laboratory.

Upper trapezius muscle activity was recorded using electromyography and analyzed using EVA with five amplitude and five duration categories. Individuals with neck-shoulder pain spent less time at low amplitudes and exhibited longer uninterrupted periods of muscle activation compared to their non-symptomatic counterparts. Thus, non-symptomatic workers tended to switch between exposure levels more often than individuals with pain. For a majority of EVA variables, ICCs ranged from 0.6 to 0.9, and between-days coefficients of variation were between 0.4 and 2.2.

Place, publisher, year, edition, pages
2019. Vol. 81, article id 102908
Keywords [en]
Exposure variation analysis, motor variability, reliability
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:hig:diva-28821DOI: 10.1016/j.apergo.2019.102908PubMedID: 31422258Scopus ID: 2-s2.0-85069671222OAI: oai:DiVA.org:hig-28821DiVA, id: diva2:1270742
Available from: 2018-12-14 Created: 2018-12-14 Last updated: 2019-09-05Bibliographically approved

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Mathiassen, Svend ErikSrinivasan, Divya

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