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Wearables in Schizophrenia: Update on Current and Future Clinical Applications

Schizophrenia affects 1% of the world population and is associated with a reduction in life expectancy of 20 years. The increasing prevalence of both consumer technology and clinical-grade wearable technology offers new metrics to guide clinical decision-making remotely and in real time. Herein, rec...

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Detalles Bibliográficos
Autores principales: Fonseka, Lakshan N, Woo, Benjamin K P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030897/
https://www.ncbi.nlm.nih.gov/pubmed/35389361
http://dx.doi.org/10.2196/35600
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author Fonseka, Lakshan N
Woo, Benjamin K P
author_facet Fonseka, Lakshan N
Woo, Benjamin K P
author_sort Fonseka, Lakshan N
collection PubMed
description Schizophrenia affects 1% of the world population and is associated with a reduction in life expectancy of 20 years. The increasing prevalence of both consumer technology and clinical-grade wearable technology offers new metrics to guide clinical decision-making remotely and in real time. Herein, recent literature is reviewed to determine the potential utility of wearables in schizophrenia, including their utility in diagnosis, first-episode psychosis, and relapse prevention and their acceptability to patients. Several studies have further confirmed the validity of various devices in their ability to track sleep—an especially useful metric in schizophrenia, as sleep disturbances may be predictive of disease onset or the acute worsening of psychotic symptoms. Through machine learning, wearable-obtained heart rate and motor activity were used to differentiate between controls and patients with schizophrenia. Wearables can capture the autonomic dysregulation that has been detected when patients are actively experiencing paranoia, hallucinations, or delusions. Multiple platforms are currently being researched, such as Health Outcomes Through Positive Engagement and Self-Empowerment, Mobile Therapeutic Attention for Treatment-Resistant Schizophrenia, and Sleepsight, that may ultimately link patient data to clinicians. The future is bright for wearables in schizophrenia, as the recent literature exemplifies their potential to offer real-time insights to guide diagnosis and management.
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spelling pubmed-90308972022-04-23 Wearables in Schizophrenia: Update on Current and Future Clinical Applications Fonseka, Lakshan N Woo, Benjamin K P JMIR Mhealth Uhealth Viewpoint Schizophrenia affects 1% of the world population and is associated with a reduction in life expectancy of 20 years. The increasing prevalence of both consumer technology and clinical-grade wearable technology offers new metrics to guide clinical decision-making remotely and in real time. Herein, recent literature is reviewed to determine the potential utility of wearables in schizophrenia, including their utility in diagnosis, first-episode psychosis, and relapse prevention and their acceptability to patients. Several studies have further confirmed the validity of various devices in their ability to track sleep—an especially useful metric in schizophrenia, as sleep disturbances may be predictive of disease onset or the acute worsening of psychotic symptoms. Through machine learning, wearable-obtained heart rate and motor activity were used to differentiate between controls and patients with schizophrenia. Wearables can capture the autonomic dysregulation that has been detected when patients are actively experiencing paranoia, hallucinations, or delusions. Multiple platforms are currently being researched, such as Health Outcomes Through Positive Engagement and Self-Empowerment, Mobile Therapeutic Attention for Treatment-Resistant Schizophrenia, and Sleepsight, that may ultimately link patient data to clinicians. The future is bright for wearables in schizophrenia, as the recent literature exemplifies their potential to offer real-time insights to guide diagnosis and management. JMIR Publications 2022-04-07 /pmc/articles/PMC9030897/ /pubmed/35389361 http://dx.doi.org/10.2196/35600 Text en ©Lakshan N Fonseka, Benjamin K P Woo. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 07.04.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Fonseka, Lakshan N
Woo, Benjamin K P
Wearables in Schizophrenia: Update on Current and Future Clinical Applications
title Wearables in Schizophrenia: Update on Current and Future Clinical Applications
title_full Wearables in Schizophrenia: Update on Current and Future Clinical Applications
title_fullStr Wearables in Schizophrenia: Update on Current and Future Clinical Applications
title_full_unstemmed Wearables in Schizophrenia: Update on Current and Future Clinical Applications
title_short Wearables in Schizophrenia: Update on Current and Future Clinical Applications
title_sort wearables in schizophrenia: update on current and future clinical applications
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030897/
https://www.ncbi.nlm.nih.gov/pubmed/35389361
http://dx.doi.org/10.2196/35600
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