Chair based measurements of sitting behavior a field study of sitting postures and sitting time in office work

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Abstract

In order to understand the relation between prolonged sitting and the relation to health outcome, the behavior while being seated must be studied. A total of 41 office workers participated in a study whilst performing their regular work for eight weeks, whilst sitting on a measuring office chair (Smart Chair). The first two (control) weeks they were not aware of the measuring abilities of the chair. After this, two groups were made to distinguish between the effects of chair instruction and smart feedback on sitting postures (Van der Doelen et al. 2011). In this paper the data has been analyzed in another way. The aim of this paper is to explore the characteristics of sedentary behavior for 41 subjects during their regular office work over eight weeks by measuring the events of sitting and absence from their office chair. Results showed that the office workers in this study on average have very long sitting events, that exceed general recommendations. Results showed that the office workers in this study on average have very long sitting events, that exceed general recommendations. Recommendations for 5 minute breaks every hour are met by 85% of the participants. However recommendations on sitting les than 20 minutes were met by 5% of the participants. None of the participants met the recommendations on all of their days during the field study. The sedentary behavior shown in this study underlines the importance to monitor and influence sedentary behavior while considering the individual sedentary patterns. Further knowledge on analyzing sedentary patterns is needed. © 2013 Springer-Verlag.

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APA

Netten, M. P., Van Der Doelen, L. H. M., & Goossens, R. H. M. (2013). Chair based measurements of sitting behavior a field study of sitting postures and sitting time in office work. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8026 LNCS, pp. 261–268). https://doi.org/10.1007/978-3-642-39182-8_31

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