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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...

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Detalles Bibliográficos
Autores principales: Hicks, Hilary, Laffer, Alex, Losinski, Genna, Watts, Amber
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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