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Variation in upper extremity, neck and trunk postures when performing computer work at a sit-stand station

Authors :
Barbieri, Dechristian
Srinivasan, Divya
Mathiassen, Svend Erik
Oliveira, Ana Beatriz
Barbieri, Dechristian
Srinivasan, Divya
Mathiassen, Svend Erik
Oliveira, Ana Beatriz
Publication Year :
2019

Abstract

The aim of this study was to determine the extent of upper arm, neck and trunk posture variation that can be obtained by combining seated and standing computer work, compared to performing only seated computer work. Posture data were recorded for two hours during each of three days of ordinary work from 24 office workers that had been using a sit-stand station for two months. Periods with sitting and standing computer work were identified using on-site observations, and posture means and minute-to-minute variance were determined for both. Expected minute-to-minute posture variability in different temporal combinations of sitting and standing computer work were determined by simulation, and expressed in terms of a Job Variance Ratio, i.e. the relative increase in variability compared to sitting-only work. For all three postures, mean values differed between sitting and standing computer work, and both showed a notable minute-to-minute variability. For most workers, posture variability was larger when combining sitting and standing than when sitting only, and simulations suggested to introduce more standing than what the worker currently practiced. The results indicate that introducing a sit-stand table could, for most office workers, have a positive effect on upper arm, neck and trunk posture variability.<br />Funders:Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Grant n:o 472946/2013-7Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Grant n:o 2015/19504-4Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Grant n:o 2012/24502-2National Council for Scientific Research

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1233620560
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.apergo.2018.09.012