Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?
actigraphy
bipolar disorder
circadian rhythms
longitudinal
predictors
recurrence
sleep
survival analysis
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
14 Apr 2022
14 Apr 2022
Historique:
received:
08
03
2022
revised:
11
04
2022
accepted:
12
04
2022
entrez:
23
4
2022
pubmed:
24
4
2022
medline:
24
4
2022
Statut:
epublish
Résumé
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 (
Identifiants
pubmed: 35456294
pii: jcm11082204
doi: 10.3390/jcm11082204
pmc: PMC9027161
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Inserm
ID : C0829
Organisme : Assistance Publique des Hôpitaux de Paris
ID : GAN12
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