Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.

<h4>Introduction</h4>Many clinical studies reporting accelerometry data use sum score measures such as percentage of time spent in moderate to vigorous activity which do not provide insight into differences in activity patterns over 24 hours, and thus do not adequately depict circadian a...

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Autores principales:	Torsten Rackoll, Konrad Neumann, Sven Passmann, Ulrike Grittner, Nadine Külzow, Julia Ladenbauer, Agnes Flöel
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5a220c3cb0954c409758e46d2aa35b1b
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spelling	oai:doaj.org-article:5a220c3cb0954c409758e46d2aa35b1b2021-12-02T20:04:04ZApplying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.1932-620310.1371/journal.pone.0251544https://doaj.org/article/5a220c3cb0954c409758e46d2aa35b1b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251544https://doaj.org/toc/1932-6203<h4>Introduction</h4>Many clinical studies reporting accelerometry data use sum score measures such as percentage of time spent in moderate to vigorous activity which do not provide insight into differences in activity patterns over 24 hours, and thus do not adequately depict circadian activity patterns. Here, we present an improved functional data analysis approach to model activity patterns and circadian rhythms from accelerometer data. As a use case, we demonstrated its application in patients with mild cognitive impairment (MCI) and age-matched healthy older volunteers (HOV).<h4>Methods</h4>Data of two studies were pooled for this analysis. Following baseline cognitive assessment participants were provided with accelerometers for seven consecutive days. A function on scalar regression (FoSR) approach was used to analyze 24 hours accelerometer data.<h4>Results</h4>Information on 48 HOV (mean age 65 SD 6 years) and 18 patients with MCI (mean age 70, SD 8 years) were available for this analysis. MCI patients displayed slightly lower activity in the morning hours (minimum relative activity at 6:05 am: -41.3%, 95% CI -64.7 to -2.5%, p = 0.031) and in the evening (minimum relative activity at 21:40 am: -48.4%, 95% CI -68.5 to 15.4%, p = 0.001) as compared to HOV after adjusting for age and sex.<h4>Discussion</h4>Using a novel approach of FoSR, we found timeframes with lower activity levels in MCI patients compared to HOV which were not evident if sum scores of amount of activity were used, possibly indicating that changes in circadian rhythmicity in neurodegenerative disease are detectable using easy-to-administer accelerometry.<h4>Clinical trials</h4>Effects of Brain Stimulation During Nocturnal Sleep on Memory Consolidation in Patients With Mild Cognitive Impairments, ClinicalTrial.gov identifier: NCT01782391. Effects of Brain Stimulation During a Daytime Nap on Memory Consolidation in Patients With Mild Cognitive Impairment, ClinicalTrial.gov identifier: NCT01782365.Torsten RackollKonrad NeumannSven PassmannUlrike GrittnerNadine KülzowJulia LadenbauerAgnes FlöelPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251544 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Torsten Rackoll Konrad Neumann Sven Passmann Ulrike Grittner Nadine Külzow Julia Ladenbauer Agnes Flöel Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.
description	<h4>Introduction</h4>Many clinical studies reporting accelerometry data use sum score measures such as percentage of time spent in moderate to vigorous activity which do not provide insight into differences in activity patterns over 24 hours, and thus do not adequately depict circadian activity patterns. Here, we present an improved functional data analysis approach to model activity patterns and circadian rhythms from accelerometer data. As a use case, we demonstrated its application in patients with mild cognitive impairment (MCI) and age-matched healthy older volunteers (HOV).<h4>Methods</h4>Data of two studies were pooled for this analysis. Following baseline cognitive assessment participants were provided with accelerometers for seven consecutive days. A function on scalar regression (FoSR) approach was used to analyze 24 hours accelerometer data.<h4>Results</h4>Information on 48 HOV (mean age 65 SD 6 years) and 18 patients with MCI (mean age 70, SD 8 years) were available for this analysis. MCI patients displayed slightly lower activity in the morning hours (minimum relative activity at 6:05 am: -41.3%, 95% CI -64.7 to -2.5%, p = 0.031) and in the evening (minimum relative activity at 21:40 am: -48.4%, 95% CI -68.5 to 15.4%, p = 0.001) as compared to HOV after adjusting for age and sex.<h4>Discussion</h4>Using a novel approach of FoSR, we found timeframes with lower activity levels in MCI patients compared to HOV which were not evident if sum scores of amount of activity were used, possibly indicating that changes in circadian rhythmicity in neurodegenerative disease are detectable using easy-to-administer accelerometry.<h4>Clinical trials</h4>Effects of Brain Stimulation During Nocturnal Sleep on Memory Consolidation in Patients With Mild Cognitive Impairments, ClinicalTrial.gov identifier: NCT01782391. Effects of Brain Stimulation During a Daytime Nap on Memory Consolidation in Patients With Mild Cognitive Impairment, ClinicalTrial.gov identifier: NCT01782365.
format	article
author	Torsten Rackoll Konrad Neumann Sven Passmann Ulrike Grittner Nadine Külzow Julia Ladenbauer Agnes Flöel
author_facet	Torsten Rackoll Konrad Neumann Sven Passmann Ulrike Grittner Nadine Külzow Julia Ladenbauer Agnes Flöel
author_sort	Torsten Rackoll
title	Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.
title_short	Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.
title_full	Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.
title_fullStr	Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.
title_full_unstemmed	Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.
title_sort	applying time series analyses on continuous accelerometry data-a clinical example in older adults with and without cognitive impairment.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5a220c3cb0954c409758e46d2aa35b1b
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Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.

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