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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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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 |
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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 |
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