Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed

Abstract While the negative association between physical activity and depression has been well established, it is unclear what precise characteristics of physical activity patterns explain this association. Complexity measures may identify previously unexplored aspects of objectively measured activi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sandip Varkey George, Yoram K Kunkels, Sanne Booij, Marieke Wichers
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1b69e98b36a74efc8ce03a6d0c83debb
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1b69e98b36a74efc8ce03a6d0c83debb
record_format	dspace
spelling	oai:doaj.org-article:1b69e98b36a74efc8ce03a6d0c83debb2021-12-02T18:18:51ZUncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed10.1038/s41598-021-92890-w2045-2322https://doaj.org/article/1b69e98b36a74efc8ce03a6d0c83debb2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92890-whttps://doaj.org/toc/2045-2322Abstract While the negative association between physical activity and depression has been well established, it is unclear what precise characteristics of physical activity patterns explain this association. Complexity measures may identify previously unexplored aspects of objectively measured activity patterns, such as the extent to which individuals show repetitive periods of physical activity and the diversity in durations of such repetitive activity patterns. We compared the complexity levels of actigraphy data gathered over 4 weeks ( $$\sim 40000$$ ∼ 40000 data points each) for every individual, from non-depressed ( $$n=25$$ n = 25 ) and depressed ( $$n=21$$ n = 21 ) groups using recurrence plots. Significantly lower levels of complexity were detected in the actigraphy data from the depressed group as compared to non-depressed controls, both in terms of lower mean durations of periods of recurrent physical activity and less diversity in the duration of these periods. Further, diagnosis of depression was not significantly associated with mean activity levels or measures of circadian rhythm stability, and predicted depression status better than these.Sandip Varkey GeorgeYoram K KunkelsSanne BooijMarieke WichersNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sandip Varkey George Yoram K Kunkels Sanne Booij Marieke Wichers Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
description	Abstract While the negative association between physical activity and depression has been well established, it is unclear what precise characteristics of physical activity patterns explain this association. Complexity measures may identify previously unexplored aspects of objectively measured activity patterns, such as the extent to which individuals show repetitive periods of physical activity and the diversity in durations of such repetitive activity patterns. We compared the complexity levels of actigraphy data gathered over 4 weeks ( $$\sim 40000$$ ∼ 40000 data points each) for every individual, from non-depressed ( $$n=25$$ n = 25 ) and depressed ( $$n=21$$ n = 21 ) groups using recurrence plots. Significantly lower levels of complexity were detected in the actigraphy data from the depressed group as compared to non-depressed controls, both in terms of lower mean durations of periods of recurrent physical activity and less diversity in the duration of these periods. Further, diagnosis of depression was not significantly associated with mean activity levels or measures of circadian rhythm stability, and predicted depression status better than these.
format	article
author	Sandip Varkey George Yoram K Kunkels Sanne Booij Marieke Wichers
author_facet	Sandip Varkey George Yoram K Kunkels Sanne Booij Marieke Wichers
author_sort	Sandip Varkey George
title	Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
title_short	Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
title_full	Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
title_fullStr	Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
title_full_unstemmed	Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
title_sort	uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1b69e98b36a74efc8ce03a6d0c83debb
work_keys_str_mv	AT sandipvarkeygeorge uncoveringcomplexitydetailsinactigraphypatternstodifferentiatethedepressedfromthenondepressed AT yoramkkunkels uncoveringcomplexitydetailsinactigraphypatternstodifferentiatethedepressedfromthenondepressed AT sannebooij uncoveringcomplexitydetailsinactigraphypatternstodifferentiatethedepressedfromthenondepressed AT mariekewichers uncoveringcomplexitydetailsinactigraphypatternstodifferentiatethedepressedfromthenondepressed
_version_	1718378140492890112

Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed

Ejemplares similares