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Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry

Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an ob...

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Autores principales: Kuster, Roman P., Huber, Mirco, Hirschi, Silas, Siegl, Walter, Baumgartner, Daniel, Hagströmer, Maria, Grooten, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263709/
https://www.ncbi.nlm.nih.gov/pubmed/30453605
http://dx.doi.org/10.3390/s18114010
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author Kuster, Roman P.
Huber, Mirco
Hirschi, Silas
Siegl, Walter
Baumgartner, Daniel
Hagströmer, Maria
Grooten, Wim
author_facet Kuster, Roman P.
Huber, Mirco
Hirschi, Silas
Siegl, Walter
Baumgartner, Daniel
Hagströmer, Maria
Grooten, Wim
author_sort Kuster, Roman P.
collection PubMed
description Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an objective method to measure SB consistent with its definition. We have therefore developed a new measurement system based on muscular activity and accelerometry. The primary aim of the present study was to calibrate the new-developed 8-CH-EMG+ for measuring occupational SB against an indirect calorimeter during typical desk-based office work activities. In total, 25 volunteers performed nine office tasks at three typical workplaces. Minute-by-minute posture and activity classification was performed using subsequent decision trees developed with artificial intelligence data processing techniques. The 8-CH-EMG+ successfully identified all sitting episodes (AUC = 1.0). Furthermore, depending on the number of electromyography channels included, the device has a sensitivity of 83–98% and 74–98% to detect SB and active sitting (AUC = 0.85–0.91). The 8-CH-EMG+ advances the field of objective SB measurements by combining accelerometry with muscular activity. Future field studies should consider the use of EMG sensors to record SB in line with its definition.
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spelling pubmed-62637092018-12-12 Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry Kuster, Roman P. Huber, Mirco Hirschi, Silas Siegl, Walter Baumgartner, Daniel Hagströmer, Maria Grooten, Wim Sensors (Basel) Article Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an objective method to measure SB consistent with its definition. We have therefore developed a new measurement system based on muscular activity and accelerometry. The primary aim of the present study was to calibrate the new-developed 8-CH-EMG+ for measuring occupational SB against an indirect calorimeter during typical desk-based office work activities. In total, 25 volunteers performed nine office tasks at three typical workplaces. Minute-by-minute posture and activity classification was performed using subsequent decision trees developed with artificial intelligence data processing techniques. The 8-CH-EMG+ successfully identified all sitting episodes (AUC = 1.0). Furthermore, depending on the number of electromyography channels included, the device has a sensitivity of 83–98% and 74–98% to detect SB and active sitting (AUC = 0.85–0.91). The 8-CH-EMG+ advances the field of objective SB measurements by combining accelerometry with muscular activity. Future field studies should consider the use of EMG sensors to record SB in line with its definition. MDPI 2018-11-17 /pmc/articles/PMC6263709/ /pubmed/30453605 http://dx.doi.org/10.3390/s18114010 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kuster, Roman P.
Huber, Mirco
Hirschi, Silas
Siegl, Walter
Baumgartner, Daniel
Hagströmer, Maria
Grooten, Wim
Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
title Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
title_full Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
title_fullStr Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
title_full_unstemmed Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
title_short Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
title_sort measuring sedentary behavior by means of muscular activity and accelerometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263709/
https://www.ncbi.nlm.nih.gov/pubmed/30453605
http://dx.doi.org/10.3390/s18114010
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