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Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?

Bipolar disorder (BD) is characterized by recurrent mood episodes. It is increasingly suggested that disturbances in sleep–wake cycles and/or circadian rhythms could represent valuable predictors of recurrence, but few studies have addressed this question. Euthymic individuals with BD (n = 69) under...

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Autores principales: Ferrand, Lisa, Hennion, Vincent, Godin, Ophelia, Bellivier, Frank, Scott, Jan, Etain, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027161/
https://www.ncbi.nlm.nih.gov/pubmed/35456294
http://dx.doi.org/10.3390/jcm11082204
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author Ferrand, Lisa
Hennion, Vincent
Godin, Ophelia
Bellivier, Frank
Scott, Jan
Etain, Bruno
author_facet Ferrand, Lisa
Hennion, Vincent
Godin, Ophelia
Bellivier, Frank
Scott, Jan
Etain, Bruno
author_sort Ferrand, Lisa
collection PubMed
description Bipolar disorder (BD) is characterized by recurrent mood episodes. It is increasingly suggested that disturbances in sleep–wake cycles and/or circadian rhythms could represent valuable predictors of recurrence, but few studies have addressed this question. Euthymic individuals with BD (n = 69) undertook 3 weeks of actigraphy recording and were then followed up for a median duration of 3.5 years. Principal component analyses were used to identify core dimensions of sleep quantity/variability and circadian rhythmicity. Associations between clinical variables and actigraphy dimensions and time to first recurrence were explored using survival analyses, and then using area under the curve (AUC) analyses (early vs. late recurrence). Most participants (64%) experienced a recurrence during follow-up (median survival time: 18 months). After adjusting for potential confounding factors, an actigraphy dimension comprising amplitude and variability/stability of circadian rhythms was a significant predictor of time to recurrence (p = 0.009). The AUC for correct classification of early vs. late recurrence subgroups was only 0.64 for clinical predictors, but combining these variables with objectively measured intra-day variability improved the AUC to 0.82 (p = 0.04). Actigraphy estimates of circadian rhythms, particularly variability/stability and amplitude, may represent valid predictive markers of future BD recurrences and could be putative targets for future psychosocial interventions.
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spelling pubmed-90271612022-04-23 Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders? Ferrand, Lisa Hennion, Vincent Godin, Ophelia Bellivier, Frank Scott, Jan Etain, Bruno J Clin Med Article Bipolar disorder (BD) is characterized by recurrent mood episodes. It is increasingly suggested that disturbances in sleep–wake cycles and/or circadian rhythms could represent valuable predictors of recurrence, but few studies have addressed this question. Euthymic individuals with BD (n = 69) undertook 3 weeks of actigraphy recording and were then followed up for a median duration of 3.5 years. Principal component analyses were used to identify core dimensions of sleep quantity/variability and circadian rhythmicity. Associations between clinical variables and actigraphy dimensions and time to first recurrence were explored using survival analyses, and then using area under the curve (AUC) analyses (early vs. late recurrence). Most participants (64%) experienced a recurrence during follow-up (median survival time: 18 months). After adjusting for potential confounding factors, an actigraphy dimension comprising amplitude and variability/stability of circadian rhythms was a significant predictor of time to recurrence (p = 0.009). The AUC for correct classification of early vs. late recurrence subgroups was only 0.64 for clinical predictors, but combining these variables with objectively measured intra-day variability improved the AUC to 0.82 (p = 0.04). Actigraphy estimates of circadian rhythms, particularly variability/stability and amplitude, may represent valid predictive markers of future BD recurrences and could be putative targets for future psychosocial interventions. MDPI 2022-04-14 /pmc/articles/PMC9027161/ /pubmed/35456294 http://dx.doi.org/10.3390/jcm11082204 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ferrand, Lisa
Hennion, Vincent
Godin, Ophelia
Bellivier, Frank
Scott, Jan
Etain, Bruno
Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?
title Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?
title_full Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?
title_fullStr Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?
title_full_unstemmed Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?
title_short Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?
title_sort which actigraphy dimensions predict longitudinal outcomes in bipolar disorders?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027161/
https://www.ncbi.nlm.nih.gov/pubmed/35456294
http://dx.doi.org/10.3390/jcm11082204
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