Sleep-wake cycle phenotypes in young people with familial and non-familial mood disorders
Autor: | Joanne S. Carpenter, Daniel F. Hermens, Ashlee B. Grierson, Elizabeth M. Scott, Sharon L. Naismith, Jan Scott, Ian B. Hickie |
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Rok vydání: | 2016 |
Předmět: |
Adult
Male medicine.medical_specialty Bipolar Disorder Adolescent Risk Assessment Pittsburgh Sleep Quality Index 03 medical and health sciences 0302 clinical medicine Sleep Disorders Circadian Rhythm medicine Humans Bipolar disorder Medical History Taking Major depressive episode Psychiatry Biological Psychiatry Analysis of Variance Sleep disorder Mood Disorders Actigraphy medicine.disease 030227 psychiatry Psychiatry and Mental health Phenotype Mood Mood disorders Female medicine.symptom Sleep onset Sleep Psychology 030217 neurology & neurosurgery |
Zdroj: | Bipolar Disorders. 18:642-649 |
ISSN: | 1398-5647 |
Popis: | Objectives Converging evidence identifies that the offspring of parents with bipolar disorder (BD), individuals at clinical high risk of BD, and young people with recent onset BD may differ from other clinical cases or healthy controls in terms of sleep–wake profiles. However, it is possible that these differences may reflect current mental state, subtype of mood disorder, or familial traits. This study aimed to determine objective and subjective sleep–wake profiles in individuals aged 15–25 years with a current major depressive episode, in relation to familial traits. Methods Frequency matching was employed to ensure that each individual with a confirmed family history of BD (FH+) could be compared to four controls who did not have a familial mood disorder (FH–). Pre-selected objective actigraphy and subjective Pittsburgh Sleep Quality Index (PSQI) ratings were compared using one-way analysis of variance (ANOVA) and applying the Benjamini–Hochberg (BH) correction for false discoveries. Results The sample comprised 60 individuals with a mean age of 19 years. The FH+ (n=12) and FH– groups (n=48) differed on three key sleep parameters: mean sleep duration on week nights (P=.049), variability in waking after sleep onset (P=.038), and daily disturbances (PSQI dimension of sleep disturbance and daytime dysfunction; P=.01). Conclusions The sleep profiles we identified in this study, especially the daily disturbances phenotype, provide support for research into endophenotypes for BD. Also, the findings may offer the opportunity for more tailored, personalized interventions that target specific components of the sleep–wake cycle in individuals with a family history of BD. |
Databáze: | OpenAIRE |
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