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Do sleep variables predict mood in bipolar disorder: A systematic review
Andrea Ulrichsen1, Anna Tröger1, Sameer Jauhar2
1King's College London, Institute of Psychiatry, Psychology and Neuroscience, 16 De Crespigny Park, London SE5 8AB, UK; Dresden University of Technology, Department of Psychiatry and Psychotherapy, University Hospital, Dresden, Germany.
Journal of Affective Disorders
|December 31, 2024
Summary
Sleep pattern changes often predict mood shifts in bipolar disorder (BD). Monitoring sleep can help patients and clinicians anticipate and prevent mood episodes like depression and mania.
Area of Science:
- Psychiatry
- Sleep Medicine
- Neuroscience
Background:
- Bipolar disorder (BD) frequently involves sleep disturbances across mood states.
- Sleep changes often precede manic or depressive episodes in BD patients.
- Early identification of sleep changes could aid in relapse prevention strategies for BD.
Purpose of the Study:
- To systematically review existing literature on the relationship between sleep changes and mood in bipolar disorder.
- To synthesize findings regarding sleep-mood correlations and their predictive value in BD.
Main Methods:
- Systematic literature search across Embase, APA PsychINFO, and MEDLINE databases.
- Adherence to PRISMA guidelines and PROSPERO registration (CRD42023405950).
- Narrative synthesis of findings, with risk of bias assessed using the Newcastle-Ottawa scale.
Main Results:
- 17 publications from 13 studies were included, identifying nine sleep-mood relationship categories.
- Increased sleep duration, earlier sleep onset, and later wake-up times were associated with subsequent depressive mood.
- Conversely, changes towards shorter sleep duration and altered sleep timing predicted manic mood states.
Conclusions:
- Sleep pattern alterations appear to be reliable early warning signs for mood changes in bipolar disorder.
- These sleep changes can potentially be leveraged as a preventive strategy for both patients and clinicians.
- High heterogeneity among studies limited the possibility of conducting a meta-analysis.
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