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Barton J, Mio M, Timmins V, Mitchell RHB, Murray BJ, Goldstein BI. Factors Associated With Sleep Disturbance Amongst Youth With Bipolar Disorder. JOURNAL OF THE CANADIAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY = JOURNAL DE L'ACADEMIE CANADIENNE DE PSYCHIATRIE DE L'ENFANT ET DE L'ADOLESCENT 2022; 31:165-175. [PMID: 36425019 PMCID: PMC9661909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 07/05/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND While sleep disturbances and their impact on functioning are well-established in adults with bipolar disorder (BD), little is known about this topic in youth. OBJECTIVE This study investigates the prevalence and correlates of sleep disturbance among youth with BD. METHODS The study included 103 youth (72 BD, 31 healthy controls [HC]), ages 14-20 years. Study measures included a semi-structured diagnostic interview and the Pittsburgh Sleep Quality Index (PSQI). PSQI yields a global score and 7 subscale scores. Analyses examined between group differences in PSQI scores, and correlates of PSQI within BD. RESULTS BD youth had significantly higher (worse) global sleep scores, and higher scores on 5/7 subscales (quality, latency, disturbance, sleep medication use, daytime dysfunction). In univariate analyses, poorer sleep quality was associated with higher lifetime and current depression severity, mixed mood state, self-reported affective lability, and borderline personality traits. Lifetime lithium treatment and euthymic mood state were associated with better sleep scores. In multivariate analyses, greater current depression severity and self-reported affective lability were most robustly associated with poor sleep quality. CONCLUSIONS Converging with data from adults, present findings indicate greater sleep disturbance among youth with BD versus HC. Also convergent with adults with BD, mood disturbance, whether depression severity or emotional lability, comprised the predominant correlates of sleep disturbance among youth with BD. Future research is warranted to better understand the temporal association between sleep disturbance and its correlates in youth with BD. Relatedly, interventions that address both mood and sleep disturbances may help improve overall functioning.
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Affiliation(s)
- Jessica Barton
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario
| | - Megan Mio
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario
- Department of Pharmacology, University of Toronto, Toronto, Ontario
| | - Vanessa Timmins
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario
| | - Rachel H B Mitchell
- Department of Psychiatry, University of Toronto, Toronto, Ontario
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario
| | - Brian J Murray
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario
- Department of Psychiatry, University of Toronto, Toronto, Ontario
- Department of Pharmacology, University of Toronto, Toronto, Ontario
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Roloff T, Haussleiter I, Meister K, Juckel G. Sleep disturbances in the context of neurohormonal dysregulation in patients with bipolar disorder. Int J Bipolar Disord 2022; 10:6. [PMID: 35229223 PMCID: PMC8885957 DOI: 10.1186/s40345-022-00254-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 01/31/2022] [Indexed: 12/27/2022] Open
Abstract
Background Sleep dysfunction is a core symptom in bipolar disorder (BD), especially during major mood episodes. This study investigated the possible link between subjective and objective sleep disturbances in inter-episode BD, changes in melatonin and cortisol levels, and circadian melatonin alignment. The study included 21 euthymic BD patients and 24 healthy controls. Participants had to wear an actigraphy device, keep a weekly sleep diary and take salivary samples: five samples on the last evening to determine the dim light melatonin onset (DLMO) and one the following morning to measure rising cortisol. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) and Regensburg Insomnia Scale (RIS), and circadian alignment by the phase angle difference (PAD). Results In comparison to healthy controls, BD patients had: (1) higher PSQI (5.52 ± 3.14 vs. 3.63 ± 2.18; p = 0.022) (significant after controlling for age and gender), and higher RIS scores (8.91 ± 5.43 vs. 5.83 ± 3.76; p = 0.031); (2) subjective a longer mean TST (p = 0.024) and TIB (p = 0.002) (both significant after controlling for age and gender), longer WASO (p = 0.019), and worse SE (p = 0.036) (significant after controlling for gender); (3) actigraphically validated earlier sleep onset (p = 0.002), less variation in sleep onset time (p = 0.005) and no longer TST (p = 0.176); (4) no differing melatonin levels (4.06 ± 2.77 vs. 3.35 ± 2.23 p = 0.352), an 1.65 h earlier DLMO (20.17 ± 1.63 vs. 21.82 ± 1.50; p = 0. 001) (significant after controlling for gender), and a phase advance of melatonin (6.35 ± 1.40 vs. 7.48 ± 1.53; p = 0.017) (significant after controlling for gender); and (5) no differing cortisol awakening response (16.97 ± 10.22 vs 17.06 ± 5.37 p = 0.969). Conclusions Patients with BD, even in euthymic phase, have a significantly worse perception of their sleep. Advanced sleep phases in BD might be worth further investigation and could help to explain the therapeutic effects of mood stabilizers such as lithium and valproate.
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Affiliation(s)
- Tom Roloff
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany
| | - Ida Haussleiter
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany
| | - Klara Meister
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany
| | - Georg Juckel
- Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr University Bochum, Alexandrinenstr. 1, 44791, Bochum, Germany.
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Kirlioglu SS, Balcioglu YH. Chronobiology Revisited in Psychiatric Disorders: From a Translational Perspective. Psychiatry Investig 2020; 17:725-743. [PMID: 32750762 PMCID: PMC7449842 DOI: 10.30773/pi.2020.0129] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 05/15/2020] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE Several lines of evidence support a relationship between circadian rhythms disruption in the onset, course, and maintenance of mental disorders. Despite the study of circadian phenotypes promising a decent understanding of the pathophysiologic or etiologic mechanisms of psychiatric entities, several questions still need to be addressed. In this review, we aimed to synthesize the literature investigating chronobiologic theories and their associations with psychiatric entities. METHODS The Medline, Embase, PsycInfo, and Scopus databases were comprehensively and systematically searched and articles published between January 1990 and October 2019 were reviewed. Different combinations of the relevant keywords were polled. We first introduced molecular elements and mechanisms of the circadian system to promote a better understanding of the chronobiologic implications of mental disorders. Then, we comprehensively and systematically reviewed circadian system studies in mood disorders, schizophrenia, and anxiety disorders. RESULTS Although subject characteristics and study designs vary across studies, current research has demonstrated that circadian pathologies, including genetic and neurohumoral alterations, represent the neural substrates of the pathophysiology of many psychiatric disorders. Impaired HPA-axis function-related glucocorticoid rhythm and disrupted melatonin homeostasis have been prominently demonstrated in schizophrenia and other psychotic disorders, while alterations of molecular expressions of circadian rhythm genes including CLOCK, PER, and CRY have been reported to be involved in the pathogenesis of mood disorders. CONCLUSION Further translational work is needed to identify the causal relationship between circadian physiology abnormalities and mental disorders and related psychopathology, and to develop sound pharmacologic interventions.
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Affiliation(s)
- Simge Seren Kirlioglu
- Department of Psychiatry, Bakirkoy Prof Mazhar Osman Training and Research Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Yasin Hasan Balcioglu
- Department of Psychiatry, Bakirkoy Prof Mazhar Osman Training and Research Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
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Lewis KJS, Richards A, Karlsson R, Leonenko G, Jones SE, Jones HJ, Gordon-Smith K, Forty L, Escott-Price V, Owen MJ, Weedon MN, Jones L, Craddock N, Jones I, Landén M, O’Donovan MC, Di Florio A. Comparison of Genetic Liability for Sleep Traits Among Individuals With Bipolar Disorder I or II and Control Participants. JAMA Psychiatry 2020; 77:303-310. [PMID: 31751445 PMCID: PMC6902167 DOI: 10.1001/jamapsychiatry.2019.4079] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Insomnia, hypersomnia, and an evening chronotype are common in individuals with bipolar disorder (BD), but whether this reflects shared genetic liability is unclear. Stratifying by BD subtypes could elucidate this association and inform sleep and BD research. OBJECTIVE To assess whether polygenic risk scores (PRSs) for sleep traits are associated with BD subtypes I and II. DESIGN, SETTING, AND PARTICIPANTS This case-control study was conducted in the United Kingdom and Sweden with participants with BD and control participants. Multinomial regression was used to assess whether PRSs for insomnia, daytime sleepiness, sleep duration, and chronotype are associated with BD subtypes compared with control participants. Affected individuals were recruited from the Bipolar Disorder Research Network. Control participants were recruited from the 1958 British Birth Cohort and the UK Blood Service. Analyses were repeated in an independent Swedish sample from August 2018 to July 2019. All participants were of European ancestry. EXPOSURES Standardized PRSs derived using alleles from genome-wide association studies of insomnia, sleep duration, daytime sleepiness, and chronotype. These were adjusted for the first 10 population principal components, genotyping platforms, and sex. MAIN OUTCOMES AND MEASURES Association of PRSs with BD subtypes, determined by semistructured psychiatric interview and case notes. RESULTS The main analysis included 4672 participants with BD (3132 female participants [67.0%]; 3404 with BD-I [72.9%]) and 5714 control participants (2812 female participants [49.2%]). Insomnia PRS was associated with increased risk of BD-II (relative risk [RR], 1.14 [95% CI, 1.07-1.21]; P = 8.26 × 10-5) but not BD-I (RR, 0.98 [95% CI, 0.94-1.03]; P = .409) relative to control participants. Sleep-duration PRS was associated with BD-I (RR, 1.10 [95% CI, 1.06-1.15]; P = 1.13 × 10-5) but not BD-II (RR, 0.99 [95% CI, 0.93-1.06]; P = .818). Associations between (1) insomnia PRS and BD-II and (2) sleep-duration PRS and BD-I were replicated in the Swedish sample of 4366 individuals with BD (2697 female participants [61.8%]; 2627 with BD-I [60.2%]) and 6091 control participants (3767 female participants [61.8%]). Chronotype and daytime-sleepiness PRS were not associated with BD subtypes. CONCLUSIONS AND RELEVANCE Per this analysis, BD subtypes differ in genetic liability to insomnia and hypersomnia, providing further evidence that the distinction between BD-I and BD-II has genetic validity. This distinction will be crucial in selecting participants for future research on the role of sleep disturbance in BD.
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Affiliation(s)
- Katie J. S. Lewis
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Alexander Richards
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ganna Leonenko
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Samuel E. Jones
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, United Kingdom
| | - Hannah J. Jones
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom,Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom,National Institute of Health Research Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | - Katherine Gordon-Smith
- Department of Psychological Medicine, University of Worcester, Worcester, United Kingdom
| | - Liz Forty
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Valentina Escott-Price
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Michael J. Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom,National Centre for Mental Health, Cardiff University, Cardiff, United Kingdom
| | - Michael N. Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, United Kingdom
| | - Lisa Jones
- Department of Psychological Medicine, University of Worcester, Worcester, United Kingdom
| | - Nick Craddock
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom,National Centre for Mental Health, Cardiff University, Cardiff, United Kingdom
| | - Ian Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom,National Centre for Mental Health, Cardiff University, Cardiff, United Kingdom
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,Institute of Neuroscience and Physiology, Sahlgenska Academy at the Gothenburg University, Gothenburg, Sweden
| | - Michael C. O’Donovan
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom,National Centre for Mental Health, Cardiff University, Cardiff, United Kingdom
| | - Arianna Di Florio
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom,National Centre for Mental Health, Cardiff University, Cardiff, United Kingdom
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Steardo L, de Filippis R, Carbone EA, Segura-Garcia C, Verkhratsky A, De Fazio P. Sleep Disturbance in Bipolar Disorder: Neuroglia and Circadian Rhythms. Front Psychiatry 2019; 10:501. [PMID: 31379620 PMCID: PMC6656854 DOI: 10.3389/fpsyt.2019.00501] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 06/25/2019] [Indexed: 12/22/2022] Open
Abstract
The worldwide prevalence of sleep disorders is approximately 50%, with an even higher occurrence in a psychiatric population. Bipolar disorder (BD) is a severe mental illness characterized by shifts in mood and activity. The BD syndrome also involves heterogeneous symptomatology, including cognitive dysfunctions and impairments of the autonomic nervous system. Sleep abnormalities are frequently associated with BD and are often a good predictor of a mood swing. Preservation of stable sleep-wake cycles is therefore a key to the maintenance of stability in BD, indicating the crucial role of circadian rhythms in this syndrome. The symptom most widespread in BD is insomnia, followed by excessive daytime sleepiness, nightmares, difficulty falling asleep or maintaining sleep, poor sleep quality, sleep talking, sleep walking, and obstructive sleep apnea. Alterations in the structure or duration of sleep are reported in all phases of BD. Understanding the role of neuroglia in BD and in various aspects of sleep is in nascent state. Contributions of the different types of glial cells to BD and sleep abnormalities are discussed in this paper.
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Affiliation(s)
- Luca Steardo
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia, Catanzaro, Italy
| | - Renato de Filippis
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia, Catanzaro, Italy
| | - Elvira Anna Carbone
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia, Catanzaro, Italy
| | - Cristina Segura-Garcia
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Alexei Verkhratsky
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Achucarro Center for Neuroscience, IKERBASQUE, Bilbao, Spain
| | - Pasquale De Fazio
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia, Catanzaro, Italy
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6
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Mukherjee D, Krishnamurthy VB, Millett CE, Reider A, Can A, Groer M, Fuchs D, Postolache TT, Saunders EF. Total sleep time and kynurenine metabolism associated with mood symptom severity in bipolar disorder. Bipolar Disord 2018; 20:27-34. [PMID: 28833866 PMCID: PMC5807208 DOI: 10.1111/bdi.12529] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 06/14/2017] [Accepted: 06/21/2017] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Chronic, low-level inflammation is associated with symptomatic bipolar disorder (BD) and with chronic insomnia. Disrupted sleep is a feature of episodes of both mania and depression. We examined the effect of neopterin, a marker of cellular immune activation, and kynurenine (KYN), an inflammatory byproduct of the serotonin pathway, on the association between total sleep time and depression severity in BD. METHOD Twenty-one symptomatic BD participants and 28 healthy controls (HC) were recruited and followed during usual clinical care. At baseline and after symptomatic recovery, total sleep time was objectively measured with actigraphy for 1 week and blood plasma was collected to measure the serotonin precursor tryptophan (TRP), KYN, the KYN/TRP ratio, and neopterin levels. Statistical analyses were conducted using chi-square, independent t tests and hierarchical linear multiple regression models. RESULTS Total sleep time was correlated positively with depressive severity and negatively with manic severity. TRP was significantly reduced in BD participants compared to HC. KYN, TRP, and the KYN/TRP ratio were associated with depressive severity when total sleep time and body mass index (BMI) were included in the model. The KYN/TRP ratio trended towards a negative association with mania symptoms, controlling for BMI and total sleep time, in acutely symptomatic BD participants. Neopterin was not associated with sleep or mood severity. After usual clinical care, BD participants showed significantly decreased clinical symptoms but no significant differences in sleep phenotype or biomarkers. CONCLUSION Inflammation, sleep, and mood are closely intertwined. Future research into the effect of inflammation on sleep in BD may lead to clinical markers of outcome.
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Affiliation(s)
- Dahlia Mukherjee
- Department of Psychiatry, Penn State Milton S Hershey Medical Center, Hershey, PA
| | - Venkatesh Bassapa Krishnamurthy
- Department of Psychiatry, Penn State Milton S Hershey Medical Center, Hershey, PA,Sleep Research and Treatment Center, Penn State Milton S Hershey Medical Center, Hershey, PA
| | - Caitlin E. Millett
- Department of Psychiatry, Penn State Milton S Hershey Medical Center, Hershey, PA,Department of Neural and Behavioral Sciences, Penn State University, Hershey, PA
| | - Aubrey Reider
- Department of Psychiatry, Penn State Milton S Hershey Medical Center, Hershey, PA
| | - Adem Can
- University of Maryland School of Medicine, Baltimore, MD
| | - Maureen Groer
- University of South Florida, School of Nursing, Tampa FL
| | | | - Teodor T Postolache
- University of Maryland School of Medicine, Baltimore, MD,Rocky Mountain MIRECC (Mental Illness Research, Education and Clinical Center), Denver, Co,The Military and Veteran Microbiome, Consortium for Research and Education (MVM-Core), Denver, Colorado
| | - Erika F.H. Saunders
- Department of Psychiatry, Penn State Milton S Hershey Medical Center, Hershey, PA,University of Michigan Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan
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Levenson JC, Soehner A, Rooks B, Goldstein TR, Diler R, Merranko J, Axelson D, Goldstein BI, Brent DA, Hafeman D, Hickey MB, Monk K, Sakolsky D, Kupfer DJ, Birmaher B. Longitudinal sleep phenotypes among offspring of bipolar parents and community controls. J Affect Disord 2017; 215:30-36. [PMID: 28315578 PMCID: PMC5500225 DOI: 10.1016/j.jad.2017.03.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 01/27/2017] [Accepted: 03/05/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND Sleep disturbances are a prominent feature of bipolar disorder (BP). However, it remains unclear how sleep phenotypes may evolve among at-risk youth, and their relevance to BP onset. METHODS Pittsburgh Bipolar Offspring Study (BIOS) offspring (ages 10-18) and their parents completed assessments approximately every two years pertaining to current psychopathology and offspring sleep habits. A latent transition analysis (LTA) identified latent sleep groups within offspring based on their ratings of six sleep domains using the School Sleep Habits Survey. Demographic and clinical characteristics were compared between sleep groups. Logistic regression tested links between sleep group and BP onset at the subsequent assessment. RESULTS The LTA model identified latent groups of good, poor, and variable sleepers. We observed an overall trend of good sleep becoming variable, and then poor, as youth age. Offspring in the poor sleep group were more likely to have psychopathology. Adjusting for age and depression, poor sleepers had nearly twice the odds of developing BP relative to good (OR=1.99, CI=0.45-8.91) or variable (OR=2.03, CI=0.72-5.72) sleepers. LIMITATIONS Limitations include the use of proximal sleep phenotypes to predict BP onset, and a self-report measure of sleep CONCLUSIONS: We found three non-overlapping sleep phenotype groups in a large sample of offspring of bipolar probands and offspring of demographically-matched community control parents. Clinicians should consider that youth will likely experience variable and/or poor sleep as they age, and that at-risk youth with poor sleep may be at increased risk of developing MDD and BP at their next assessment.
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Affiliation(s)
- Jessica C Levenson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Adriane Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brian Rooks
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Tina R Goldstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Rasim Diler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - John Merranko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David Axelson
- Nationwide Children's Hospital Research Institute and The Ohio State University College of Medicine, Columbus, OH, USA
| | - Ben I Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - David A Brent
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Danella Hafeman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary Beth Hickey
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David J Kupfer
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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8
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Kanady JC, Soehner AM, Klein AB, Harvey AG. The association between insomnia-related sleep disruptions and cognitive dysfunction during the inter-episode phase of bipolar disorder. J Psychiatr Res 2017; 88:80-88. [PMID: 28088728 PMCID: PMC5527335 DOI: 10.1016/j.jpsychires.2017.01.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 12/14/2016] [Accepted: 01/04/2017] [Indexed: 12/31/2022]
Abstract
Sleep disturbance and cognitive dysfunction are two domains of impairment during inter-episode bipolar disorder. Despite evidence demonstrating the importance of sleep for cognition in healthy and sleep-disordered samples, this link has been minimally examined in bipolar disorder. The present study tested the association between insomnia-related sleep disruptions and cognitive dysfunction during inter-episode bipolar disorder. Forty-seven participants with bipolar disorder and a comorbid insomnia diagnosis (BD-Insomnia) and 19 participants with bipolar disorder without sleep disturbance in the last six months (BD-Control) participated in the study. Two domains of cognition were assessed: working memory and verbal learning. Insomnia-related sleep disruptions were assessed both categorically (i.e., insomnia diagnosis) and dimensionally (i.e., total wake time, total sleep time, total wake time variability, and total sleep time variability). Hierarchical linear regressions, adjusting for participant age, demonstrated that insomnia diagnosis did not have an independent or interactive effect on cognition. However, regardless of insomnia diagnosis, greater total sleep time variability predicted poorer working memory and verbal learning performance. Further, following sleep treatment, a reduction in total wake time predicted improved working memory performance and a reduction in total sleep time variability predicted improved verbal learning performance. These findings raise the possibility that sleep disturbance may contribute to cognitive dysfunction in bipolar disorder and highlight the importance of treating sleep disturbance in bipolar disorder.
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Affiliation(s)
- Jennifer C. Kanady
- Department of Psychology, University of California, Berkeley, 3321 Tolman Hall, 94720 Berkeley, CA, USA
| | - Adriane M. Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 Ohara St, 15213 Pittsburgh, PA, USA
| | - Alexandra B. Klein
- VA Boston Healthcare System, 150 S. Huntington Ave. Boston, 02130 MA, USA
| | - Allison G. Harvey
- Department of Psychology, University of California, Berkeley, 3321 Tolman Hall, 94720 Berkeley, CA, USA
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9
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An actigraphy study investigating sleep in bipolar I patients, unaffected siblings and controls. J Affect Disord 2017; 208:248-254. [PMID: 27792970 PMCID: PMC5154955 DOI: 10.1016/j.jad.2016.08.076] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 08/16/2016] [Accepted: 08/21/2016] [Indexed: 01/25/2023]
Abstract
OBJECTIVES Disturbances in sleep and waking patterns are highly prevalent during mood episodes in bipolar disorder. The question remains whether these disturbances persist during phases of euthymia and whether they are heritable traits of bipolar disorder. The current study investigates objective sleep measures in a large sample of bipolar I patients, non-affected siblings and controls. METHODS A total of 107 bipolar disorder I patients, 74 non-affected siblings, and 80 controls were included. Sleep was measured with actigraphy over the course of 14 days. Seven sleep parameters were analyzed for group differences and their relationship with age at onset, number of episodes and psychotic symptoms using linear mixed model analysis to account for family dependencies. RESULTS Patients had a longer sleep duration and later time of sleep offset compared to the non-affected siblings but these differences were entirely attributable to differences in mood symptoms. We found no difference between patients and controls or siblings and controls when the analyses were restricted to euthymic patients. None of the bipolar illness characteristics were associated with sleep. LIMITATIONS Medication use was not taken into account which may have influenced our findings and controls were younger compared to non-affected siblings. CONCLUSIONS In the largest study to date, our findings suggest that recovered bipolar I patients and their siblings do not experience clinically significant sleep disturbances. Sleep disturbances are primarily a reflection of current mood state, but are unrelated to the course of the disorder.
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