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Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response
Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using wearable devices for one week after initiat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148831/ https://www.ncbi.nlm.nih.gov/pubmed/37120493 http://dx.doi.org/10.1038/s41746-023-00827-6 |
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author | Ali, Farzana Z. Parsey, Ramin V. Lin, Shan Schwartz, Joseph DeLorenzo, Christine |
author_facet | Ali, Farzana Z. Parsey, Ramin V. Lin, Shan Schwartz, Joseph DeLorenzo, Christine |
author_sort | Ali, Farzana Z. |
collection | PubMed |
description | Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using wearable devices for one week after initiating antidepressant treatment in a randomized, double-blind, placebo-controlled trial. Their depression severity was calculated pretreatment, after one week and eight weeks of treatment. This study assesses the relationship between parametric and nonparametric measures of circadian rhythm and change in depression. Results show significant association between a lower circadian quotient (reflecting less robust rhythmicity) and improvement in depression from baseline following first week of treatment (estimate = 0.11, F = 7.01, P = 0.01). There is insufficient evidence of an association between circadian rhythm measures acquired during the first week of treatment and outcomes after eight weeks of treatment. Despite this lack of association with future treatment outcome, this scalable, cost-effective biomarker may be useful for timely mental health care through remote monitoring of real-time changes in current depression. |
format | Online Article Text |
id | pubmed-10148831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101488312023-05-01 Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response Ali, Farzana Z. Parsey, Ramin V. Lin, Shan Schwartz, Joseph DeLorenzo, Christine NPJ Digit Med Article Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using wearable devices for one week after initiating antidepressant treatment in a randomized, double-blind, placebo-controlled trial. Their depression severity was calculated pretreatment, after one week and eight weeks of treatment. This study assesses the relationship between parametric and nonparametric measures of circadian rhythm and change in depression. Results show significant association between a lower circadian quotient (reflecting less robust rhythmicity) and improvement in depression from baseline following first week of treatment (estimate = 0.11, F = 7.01, P = 0.01). There is insufficient evidence of an association between circadian rhythm measures acquired during the first week of treatment and outcomes after eight weeks of treatment. Despite this lack of association with future treatment outcome, this scalable, cost-effective biomarker may be useful for timely mental health care through remote monitoring of real-time changes in current depression. Nature Publishing Group UK 2023-04-29 /pmc/articles/PMC10148831/ /pubmed/37120493 http://dx.doi.org/10.1038/s41746-023-00827-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ali, Farzana Z. Parsey, Ramin V. Lin, Shan Schwartz, Joseph DeLorenzo, Christine Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response |
title | Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response |
title_full | Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response |
title_fullStr | Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response |
title_full_unstemmed | Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response |
title_short | Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response |
title_sort | circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148831/ https://www.ncbi.nlm.nih.gov/pubmed/37120493 http://dx.doi.org/10.1038/s41746-023-00827-6 |
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