Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability

Abstract Increased stability in one’s daily routine is associated with well-being in the general population and often a goal of behavioral interventions for people with serious mental illnesses like schizophrenia. Assessing behavioral stability has been limited in clinical research by the use of ret...

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Autores principales:	Joy He-Yueya, Benjamin Buck, Andrew Campbell, Tanzeem Choudhury, John M. Kane, Dror Ben-Zeev, Tim Althoff
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Psychiatry RC435-571
Acceso en línea:	https://doaj.org/article/eb26d382a643494c9546a33159b1cdb4
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spelling	oai:doaj.org-article:eb26d382a643494c9546a33159b1cdb42021-12-02T16:19:50ZAssessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability10.1038/s41537-020-00123-22334-265Xhttps://doaj.org/article/eb26d382a643494c9546a33159b1cdb42020-11-01T00:00:00Zhttps://doi.org/10.1038/s41537-020-00123-2https://doaj.org/toc/2334-265XAbstract Increased stability in one’s daily routine is associated with well-being in the general population and often a goal of behavioral interventions for people with serious mental illnesses like schizophrenia. Assessing behavioral stability has been limited in clinical research by the use of retrospective scales, which are susceptible to reporting biases and memory inaccuracies. Mobile passive sensors, which are less susceptible to these sources of error, have emerged as tools to assess behavioral patterns in a range of populations. The present study developed and examined a metric of behavioral stability from data generated by a passive sensing system carried by 61 individuals with schizophrenia for one year. This metric—the Stability Index—appeared orthogonal from existing measures drawn from passive sensors and matched the predictive performance of state-of-the-art features. Specifically, greater stability in social activity (e.g., calls and messages) were associated with lower symptoms, and greater stability in physical activity (e.g., being still) appeared associated with elevated symptoms. This study provides additional support for the predictive value of individualized over population-level data in psychiatric populations. The Stability Index offers also a promising tool for generating insights about the impact of behavioral stability in schizophrenia-spectrum disorders.Joy He-YueyaBenjamin BuckAndrew CampbellTanzeem ChoudhuryJohn M. KaneDror Ben-ZeevTim AlthoffNature PortfolioarticlePsychiatryRC435-571ENnpj Schizophrenia, Vol 6, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Psychiatry RC435-571
spellingShingle	Psychiatry RC435-571 Joy He-Yueya Benjamin Buck Andrew Campbell Tanzeem Choudhury John M. Kane Dror Ben-Zeev Tim Althoff Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
description	Abstract Increased stability in one’s daily routine is associated with well-being in the general population and often a goal of behavioral interventions for people with serious mental illnesses like schizophrenia. Assessing behavioral stability has been limited in clinical research by the use of retrospective scales, which are susceptible to reporting biases and memory inaccuracies. Mobile passive sensors, which are less susceptible to these sources of error, have emerged as tools to assess behavioral patterns in a range of populations. The present study developed and examined a metric of behavioral stability from data generated by a passive sensing system carried by 61 individuals with schizophrenia for one year. This metric—the Stability Index—appeared orthogonal from existing measures drawn from passive sensors and matched the predictive performance of state-of-the-art features. Specifically, greater stability in social activity (e.g., calls and messages) were associated with lower symptoms, and greater stability in physical activity (e.g., being still) appeared associated with elevated symptoms. This study provides additional support for the predictive value of individualized over population-level data in psychiatric populations. The Stability Index offers also a promising tool for generating insights about the impact of behavioral stability in schizophrenia-spectrum disorders.
format	article
author	Joy He-Yueya Benjamin Buck Andrew Campbell Tanzeem Choudhury John M. Kane Dror Ben-Zeev Tim Althoff
author_facet	Joy He-Yueya Benjamin Buck Andrew Campbell Tanzeem Choudhury John M. Kane Dror Ben-Zeev Tim Althoff
author_sort	Joy He-Yueya
title	Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
title_short	Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
title_full	Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
title_fullStr	Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
title_full_unstemmed	Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
title_sort	assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/eb26d382a643494c9546a33159b1cdb4
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Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability

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