24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information

Abstract Estimation of physical activity using 24 h-accelerometry requires detection of accelerometer non-wear time (NWT). It is common practice to define NWT as periods >60 minutes of consecutive zero-accelerations, but this algorithm was originally developed for waking hours only and its applic...

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Autores principales:	Lina Jaeschke, Agnes Luzak, Astrid Steinbrecher, Stephanie Jeran, Maike Ferland, Birgit Linkohr, Holger Schulz, Tobias Pischon
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f46f0af019f24ab2b0ef1a77b8b0e2db
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spelling	oai:doaj.org-article:f46f0af019f24ab2b0ef1a77b8b0e2db2021-12-02T12:30:25Z24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information10.1038/s41598-017-01092-w2045-2322https://doaj.org/article/f46f0af019f24ab2b0ef1a77b8b0e2db2017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01092-whttps://doaj.org/toc/2045-2322Abstract Estimation of physical activity using 24 h-accelerometry requires detection of accelerometer non-wear time (NWT). It is common practice to define NWT as periods >60 minutes of consecutive zero-accelerations, but this algorithm was originally developed for waking hours only and its applicability to 24 h-accelerometry is unclear. We investigated sensitivity and specificity of different algorithms to detect NWT in 24 h-accelerometry compared to diary in 47 ActivE and 559 KORA participants. NWT was determined with algorithms >60, >90, >120, >150, or >180 minutes of consecutive zero-counts. Overall, 9.1% (ActivE) and 15.4% (KORA) of reported NWT was >60 minutes. Sensitivity and specificity were lowest for the 60-min algorithm in ActivE (0.72 and 0.00) and KORA (0.64 and 0.08), and highest for the 180-min algorithm in ActivE (0.88 and 0.92) and for the 120-min algorithm in KORA (0.76 and 0.74). Nevertheless, when applying these last two algorithms, the overlap of accelerometry with any diary based NWT minutes was around 20% only. In conclusion, only a small proportion of NWT is >60 minutes. The 60-min algorithm is less suitable for NWT detection in 24 h-accelerometry because of low sensitivity, specificity, and small overlap with reported NWT minutes. Longer algorithms perform better but detect lower proportions of reported NWT.Lina JaeschkeAgnes LuzakAstrid SteinbrecherStephanie JeranMaike FerlandBirgit LinkohrHolger SchulzTobias PischonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lina Jaeschke Agnes Luzak Astrid Steinbrecher Stephanie Jeran Maike Ferland Birgit Linkohr Holger Schulz Tobias Pischon 24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
description	Abstract Estimation of physical activity using 24 h-accelerometry requires detection of accelerometer non-wear time (NWT). It is common practice to define NWT as periods >60 minutes of consecutive zero-accelerations, but this algorithm was originally developed for waking hours only and its applicability to 24 h-accelerometry is unclear. We investigated sensitivity and specificity of different algorithms to detect NWT in 24 h-accelerometry compared to diary in 47 ActivE and 559 KORA participants. NWT was determined with algorithms >60, >90, >120, >150, or >180 minutes of consecutive zero-counts. Overall, 9.1% (ActivE) and 15.4% (KORA) of reported NWT was >60 minutes. Sensitivity and specificity were lowest for the 60-min algorithm in ActivE (0.72 and 0.00) and KORA (0.64 and 0.08), and highest for the 180-min algorithm in ActivE (0.88 and 0.92) and for the 120-min algorithm in KORA (0.76 and 0.74). Nevertheless, when applying these last two algorithms, the overlap of accelerometry with any diary based NWT minutes was around 20% only. In conclusion, only a small proportion of NWT is >60 minutes. The 60-min algorithm is less suitable for NWT detection in 24 h-accelerometry because of low sensitivity, specificity, and small overlap with reported NWT minutes. Longer algorithms perform better but detect lower proportions of reported NWT.
format	article
author	Lina Jaeschke Agnes Luzak Astrid Steinbrecher Stephanie Jeran Maike Ferland Birgit Linkohr Holger Schulz Tobias Pischon
author_facet	Lina Jaeschke Agnes Luzak Astrid Steinbrecher Stephanie Jeran Maike Ferland Birgit Linkohr Holger Schulz Tobias Pischon
author_sort	Lina Jaeschke
title	24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
title_short	24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
title_full	24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
title_fullStr	24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
title_full_unstemmed	24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
title_sort	24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/f46f0af019f24ab2b0ef1a77b8b0e2db
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24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information

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