A new approach for assessing sleep duration and postures from ambulatory accelerometry.

Interest in the effects of sleeping behavior on health and performance is continuously increasing-both in research and with the general public. Ecologically valid investigations of this research topic necessitate the measurement of sleep within people's natural living contexts. We present evide...

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Autores principales:	Cornelia Wrzus, Andreas M Brandmaier, Timo von Oertzen, Viktor Müller, Gert G Wagner, Michaela Riediger
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/55f2451d8ce2436b9526dd37d56c46a0
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spelling	oai:doaj.org-article:55f2451d8ce2436b9526dd37d56c46a02021-11-18T08:11:16ZA new approach for assessing sleep duration and postures from ambulatory accelerometry.1932-620310.1371/journal.pone.0048089https://doaj.org/article/55f2451d8ce2436b9526dd37d56c46a02012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23110178/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Interest in the effects of sleeping behavior on health and performance is continuously increasing-both in research and with the general public. Ecologically valid investigations of this research topic necessitate the measurement of sleep within people's natural living contexts. We present evidence that a new approach for ambulatory accelerometry data offers a convenient, reliable, and valid measurement of both people's sleeping duration and quality in their natural environment. Ninety-two participants (14-83 years) wore acceleration sensors on the sternum and right thigh while spending the night in their natural environment and following their normal routine. Physical activity, body posture, and change in body posture during the night were classified using a newly developed classification algorithm based on angular changes of body axes. The duration of supine posture and objective indicators of sleep quality showed convergent validity with self-reports of sleep duration and quality as well as external validity regarding expected age differences. The algorithms for classifying sleep postures and posture changes very reliably distinguished postures with 99.7% accuracy. We conclude that the new algorithm based on body posture classification using ambulatory accelerometry data offers a feasible and ecologically valid approach to monitor sleeping behavior in sizable and heterogeneous samples at home.Cornelia WrzusAndreas M BrandmaierTimo von OertzenViktor MüllerGert G WagnerMichaela RiedigerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e48089 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Cornelia Wrzus Andreas M Brandmaier Timo von Oertzen Viktor Müller Gert G Wagner Michaela Riediger A new approach for assessing sleep duration and postures from ambulatory accelerometry.
description	Interest in the effects of sleeping behavior on health and performance is continuously increasing-both in research and with the general public. Ecologically valid investigations of this research topic necessitate the measurement of sleep within people's natural living contexts. We present evidence that a new approach for ambulatory accelerometry data offers a convenient, reliable, and valid measurement of both people's sleeping duration and quality in their natural environment. Ninety-two participants (14-83 years) wore acceleration sensors on the sternum and right thigh while spending the night in their natural environment and following their normal routine. Physical activity, body posture, and change in body posture during the night were classified using a newly developed classification algorithm based on angular changes of body axes. The duration of supine posture and objective indicators of sleep quality showed convergent validity with self-reports of sleep duration and quality as well as external validity regarding expected age differences. The algorithms for classifying sleep postures and posture changes very reliably distinguished postures with 99.7% accuracy. We conclude that the new algorithm based on body posture classification using ambulatory accelerometry data offers a feasible and ecologically valid approach to monitor sleeping behavior in sizable and heterogeneous samples at home.
format	article
author	Cornelia Wrzus Andreas M Brandmaier Timo von Oertzen Viktor Müller Gert G Wagner Michaela Riediger
author_facet	Cornelia Wrzus Andreas M Brandmaier Timo von Oertzen Viktor Müller Gert G Wagner Michaela Riediger
author_sort	Cornelia Wrzus
title	A new approach for assessing sleep duration and postures from ambulatory accelerometry.
title_short	A new approach for assessing sleep duration and postures from ambulatory accelerometry.
title_full	A new approach for assessing sleep duration and postures from ambulatory accelerometry.
title_fullStr	A new approach for assessing sleep duration and postures from ambulatory accelerometry.
title_full_unstemmed	A new approach for assessing sleep duration and postures from ambulatory accelerometry.
title_sort	new approach for assessing sleep duration and postures from ambulatory accelerometry.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/55f2451d8ce2436b9526dd37d56c46a0
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A new approach for assessing sleep duration and postures from ambulatory accelerometry.

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