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Sensors 2016, 16(1), 22; doi:10.3390/s16010022

Sedentary Behaviour Profiling of Office Workers: A Sensitivity Analysis of Sedentary Cut-Points

1
Telemedicine Group, Roessingh Research and Development, P.O. Box 310, 7500 AH, Enschede, The Netherlands
2
Telemedicine Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 17 November 2015 / Revised: 17 December 2015 / Accepted: 18 December 2015 / Published: 25 December 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [784 KB, uploaded 25 December 2015]   |  

Abstract

Measuring sedentary behaviour and physical activity with wearable sensors provides detailed information on activity patterns and can serve health interventions. At the basis of activity analysis stands the ability to distinguish sedentary from active time. As there is no consensus regarding the optimal cut-point for classifying sedentary behaviour, we studied the consequences of using different cut-points for this type of analysis. We conducted a battery of sitting and walking activities with 14 office workers, wearing the Promove 3D activity sensor to determine the optimal cut-point (in counts per minute (m·s−2)) for classifying sedentary behaviour. Then, 27 office workers wore the sensor for five days. We evaluated the sensitivity of five sedentary pattern measures for various sedentary cut-points and found an optimal cut-point for sedentary behaviour of 1660 × 10−3 m·s−2. Total sedentary time was not sensitive to cut-point changes within ±10% of this optimal cut-point; other sedentary pattern measures were not sensitive to changes within the ±20% interval. The results from studies analyzing sedentary patterns, using different cut-points, can be compared within these boundaries. Furthermore, commercial, hip-worn activity trackers can implement feedback and interventions on sedentary behaviour patterns, using these cut-points. View Full-Text
Keywords: sedentary behavior; activity sensor; accelerometer; cut-point; activity pattern; office workers; laboratory trial; field trial sedentary behavior; activity sensor; accelerometer; cut-point; activity pattern; office workers; laboratory trial; field trial
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Boerema, S.T.; Essink, G.B.; Tönis, T.M.; van Velsen, L.; Hermens, H.J. Sedentary Behaviour Profiling of Office Workers: A Sensitivity Analysis of Sedentary Cut-Points. Sensors 2016, 16, 22.

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