Andrea Ulrichsen, Esther Mühlbauer, Lisa-Marie Hartnagel, Emanuel Severus, Anthony Cleare, Sameer Jauhar, Michael Bauer, Ulrich Ebner-Priemer
{"title":"睡眠参数能否预测双相情感障碍患者即将到来的情绪发作?","authors":"Andrea Ulrichsen, Esther Mühlbauer, Lisa-Marie Hartnagel, Emanuel Severus, Anthony Cleare, Sameer Jauhar, Michael Bauer, Ulrich Ebner-Priemer","doi":"10.1111/bdi.70054","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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 investigate if sleep patterns could differentiate between the period before an episode (prodromal stage) and euthymia, looking at both mean changes and variability of sleep. Bonferroni-Holm corrections were applied to avoid inflation of type I errors from multiple testing.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Twenty-nine participants were included (mean age 44.0 years [SD = 11.9], female 55% and BD-I 59%). Waking up later was associated with prodromal depression and was the only significant finding for prodromal mood episodes. Greater variability of sleep duration, total time spent in bed and time waking up were associated with prodromal depression; less variability of time falling asleep and time waking up were linked with prodromal (hypo)mania.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Using self-assessed sleep changes and especially variability can be potential tools in helping patients identify early warning signs of mood recurrence; however, these analyses were explorative and further investigations are warranted.</p>\n </section>\n </div>","PeriodicalId":8959,"journal":{"name":"Bipolar Disorders","volume":"27 6","pages":"449-460"},"PeriodicalIF":4.5000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bdi.70054","citationCount":"0","resultStr":"{\"title\":\"Can Sleep Parameters Predict Upcoming Mood Episodes in Bipolar Disorder?\",\"authors\":\"Andrea Ulrichsen, Esther Mühlbauer, Lisa-Marie Hartnagel, Emanuel Severus, Anthony Cleare, Sameer Jauhar, Michael Bauer, Ulrich Ebner-Priemer\",\"doi\":\"10.1111/bdi.70054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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 investigate if sleep patterns could differentiate between the period before an episode (prodromal stage) and euthymia, looking at both mean changes and variability of sleep. Bonferroni-Holm corrections were applied to avoid inflation of type I errors from multiple testing.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Twenty-nine participants were included (mean age 44.0 years [SD = 11.9], female 55% and BD-I 59%). Waking up later was associated with prodromal depression and was the only significant finding for prodromal mood episodes. 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Can Sleep Parameters Predict Upcoming Mood Episodes in Bipolar Disorder?
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 investigate if sleep patterns could differentiate between the period before an episode (prodromal stage) and euthymia, looking at both mean changes and variability of sleep. Bonferroni-Holm corrections were applied to avoid inflation of type I errors from multiple testing.
Results
Twenty-nine participants were included (mean age 44.0 years [SD = 11.9], female 55% and BD-I 59%). Waking up later was associated with prodromal depression and was the only significant finding for prodromal mood episodes. Greater variability of sleep duration, total time spent in bed and time waking up were associated with prodromal depression; less variability of time falling asleep and time waking up were linked with prodromal (hypo)mania.
Conclusion
Using self-assessed sleep changes and especially variability can be potential tools in helping patients identify early warning signs of mood recurrence; however, these analyses were explorative and further investigations are warranted.
期刊介绍:
Bipolar Disorders is an international journal that publishes all research of relevance for the basic mechanisms, clinical aspects, or treatment of bipolar disorders and related illnesses. It intends to provide a single international outlet for new research in this area and covers research in the following areas:
biochemistry
physiology
neuropsychopharmacology
neuroanatomy
neuropathology
genetics
brain imaging
epidemiology
phenomenology
clinical aspects
and therapeutics of bipolar disorders
Bipolar Disorders also contains papers that form the development of new therapeutic strategies for these disorders as well as papers on the topics of schizoaffective disorders, and depressive disorders as these can be cyclic disorders with areas of overlap with bipolar disorders.
The journal will consider for publication submissions within the domain of: Perspectives, Research Articles, Correspondence, Clinical Corner, and Reflections. Within these there are a number of types of articles: invited editorials, debates, review articles, original articles, commentaries, letters to the editors, clinical conundrums, clinical curiosities, clinical care, and musings.