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Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults
Actigraphy has become a popular, non-invasive means of continuously monitoring physical activity and sleep. One optional setting, the low frequency extension (LFE) filter, reduces the movement threshold to capture low acceleration activity that is common in older adults. This filter significantly al...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741327/ http://dx.doi.org/10.1093/geroni/igaa057.1381 |
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author | Hicks, Hilary Laffer, Alex Losinski, Genna Watts, Amber |
author_facet | Hicks, Hilary Laffer, Alex Losinski, Genna Watts, Amber |
author_sort | Hicks, Hilary |
collection | PubMed |
description | Actigraphy has become a popular, non-invasive means of continuously monitoring physical activity and sleep. One optional setting, the low frequency extension (LFE) filter, reduces the movement threshold to capture low acceleration activity that is common in older adults. This filter significantly alters physical activity outcomes (e.g., step counts), but it is unclear if this has implications for sleep interval calculations that rely upon accurate differentiation between physical activity and sleep. We investigated the effects of the LFE filter on wrist-worn sleep estimates in older adults. Participants were 9 older adults who wore the ActiGraph GT9X on their non-dominant wrist for 7 days in a free-living environment. Raw data was processed with and without the LFE filter enabled, and sleep intervals were calculated by a proprietary ActiGraph algorithm. Paired samples t-tests demonstrated that the LFE filter generated significantly later bedtimes, fewer minutes spent in bed, shorter sleep duration, and fewer awakenings during the night compared to when the filter was disabled (all p < .043). Use of the LFE filter did not lead to differences in arise time, sleep latency, efficiency, or wake after sleep onset (all p > .052). While the LFE filter was designed to improve accuracy of physical activity estimates in more sedentary populations, these findings suggest that the LFE filter also has the potential to impact sleep estimates of older adults. Researchers using ActiGraph-calculated sleep would benefit from careful consideration of this software-dependent impact. |
format | Online Article Text |
id | pubmed-7741327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77413272020-12-21 Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults Hicks, Hilary Laffer, Alex Losinski, Genna Watts, Amber Innov Aging Abstracts Actigraphy has become a popular, non-invasive means of continuously monitoring physical activity and sleep. One optional setting, the low frequency extension (LFE) filter, reduces the movement threshold to capture low acceleration activity that is common in older adults. This filter significantly alters physical activity outcomes (e.g., step counts), but it is unclear if this has implications for sleep interval calculations that rely upon accurate differentiation between physical activity and sleep. We investigated the effects of the LFE filter on wrist-worn sleep estimates in older adults. Participants were 9 older adults who wore the ActiGraph GT9X on their non-dominant wrist for 7 days in a free-living environment. Raw data was processed with and without the LFE filter enabled, and sleep intervals were calculated by a proprietary ActiGraph algorithm. Paired samples t-tests demonstrated that the LFE filter generated significantly later bedtimes, fewer minutes spent in bed, shorter sleep duration, and fewer awakenings during the night compared to when the filter was disabled (all p < .043). Use of the LFE filter did not lead to differences in arise time, sleep latency, efficiency, or wake after sleep onset (all p > .052). While the LFE filter was designed to improve accuracy of physical activity estimates in more sedentary populations, these findings suggest that the LFE filter also has the potential to impact sleep estimates of older adults. Researchers using ActiGraph-calculated sleep would benefit from careful consideration of this software-dependent impact. Oxford University Press 2020-12-16 /pmc/articles/PMC7741327/ http://dx.doi.org/10.1093/geroni/igaa057.1381 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Hicks, Hilary Laffer, Alex Losinski, Genna Watts, Amber Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults |
title | Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults |
title_full | Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults |
title_fullStr | Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults |
title_full_unstemmed | Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults |
title_short | Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults |
title_sort | low frequency extension filter and actigraph-calculated sleep intervals in older adults |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741327/ http://dx.doi.org/10.1093/geroni/igaa057.1381 |
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