Can Sleep Parameters Predict Upcoming Mood Episodes in Bipolar Disorder?

ABSTRACT:

Background

Bipolar disorder (BD) is a recurrent disorder, characterised by episodes of (hypo)mania, depression and euthymia with variation in mood, cognition and sleep. Many patients identify changes in sleep before an episode; using daily sleep logs could help identify these changes. Such early warning signs can be a valuable tool for patients and clinicians alike in predicting and preparing for changes in mood.

Methods

In the BipoSense study, we followed patients with BD, who were in remission at the start of the study, daily for 1 year. Patients reported for each hour if they were awake or asleep through an app and received fortnightly clinical assessments of bipolar symptoms. We used statistical analyses applying person-centred data in multilevel logit models to investig

SUBMITTER: Ulrichsen A 

PROVIDER: S-EPMC12483305 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature