Cargando…

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

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 t...

Descripción completa

Detalles Bibliográficos
Autores principales: Jaeschke, Lina, Luzak, Agnes, Steinbrecher, Astrid, Jeran, Stephanie, Ferland, Maike, Linkohr, Birgit, Schulz, Holger, Pischon, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440390/
https://www.ncbi.nlm.nih.gov/pubmed/28533553
http://dx.doi.org/10.1038/s41598-017-01092-w
_version_ 1783238043663073280
author Jaeschke, Lina
Luzak, Agnes
Steinbrecher, Astrid
Jeran, Stephanie
Ferland, Maike
Linkohr, Birgit
Schulz, Holger
Pischon, Tobias
author_facet Jaeschke, Lina
Luzak, Agnes
Steinbrecher, Astrid
Jeran, Stephanie
Ferland, Maike
Linkohr, Birgit
Schulz, Holger
Pischon, Tobias
author_sort Jaeschke, Lina
collection PubMed
description 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 Online
Article
Text
id pubmed-5440390
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-54403902017-05-25 24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information Jaeschke, Lina Luzak, Agnes Steinbrecher, Astrid Jeran, Stephanie Ferland, Maike Linkohr, Birgit Schulz, Holger Pischon, Tobias Sci Rep Article 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. Nature Publishing Group UK 2017-05-22 /pmc/articles/PMC5440390/ /pubmed/28533553 http://dx.doi.org/10.1038/s41598-017-01092-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jaeschke, Lina
Luzak, Agnes
Steinbrecher, Astrid
Jeran, Stephanie
Ferland, Maike
Linkohr, Birgit
Schulz, Holger
Pischon, Tobias
24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440390/
https://www.ncbi.nlm.nih.gov/pubmed/28533553
http://dx.doi.org/10.1038/s41598-017-01092-w
work_keys_str_mv AT jaeschkelina 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation
AT luzakagnes 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation
AT steinbrecherastrid 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation
AT jeranstephanie 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation
AT ferlandmaike 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation
AT linkohrbirgit 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation
AT schulzholger 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation
AT pischontobias 24haccelerometryinepidemiologicalstudiesautomateddetectionofnonweartimeincomparisontodiaryinformation