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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.
Högskolan i Gävle, Akademin för hälsa och arbetsliv, Avdelningen för arbetshälsovetenskap och psykologi, Arbetshälsovetenskap. Högskolan i Gävle, Centrum för belastningsskadeforskning.ORCID-id: 0000-0003-1443-6211
Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, USA.ORCID-id: 0000-0001-9327-6177
2019 (engelsk)Inngår i: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 81, artikkel-id 102908Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Elsevier, 2019. Vol. 81, artikkel-id 102908
Emneord [en]
Exposure variation analysis, motor variability, reliability
HSV kategori
Forskningsprogram
Hälsofrämjande arbete
Identifikatorer
URN: urn:nbn:se:hig:diva-28821DOI: 10.1016/j.apergo.2019.102908ISI: 000486359400041PubMedID: 31422258Scopus ID: 2-s2.0-85069671222OAI: oai:DiVA.org:hig-28821DiVA, id: diva2:1270742
Tilgjengelig fra: 2018-12-14 Laget: 2018-12-14 Sist oppdatert: 2025-11-07bibliografisk kontrollert

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Mathiassen, Svend ErikSrinivasan, Divya

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