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Morin CM, Buysse DJ. Management of Insomnia. N Engl J Med 2024; 391:247-258. [PMID: 39018534 DOI: 10.1056/nejmcp2305655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Affiliation(s)
- Charles M Morin
- From the School of Psychology and Centre de Recherche CERVO-BRAIN Research Center, Université Laval, Quebec, QC, Canada (C.M.M.); and the Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh (D.J.B.)
| | - Daniel J Buysse
- From the School of Psychology and Centre de Recherche CERVO-BRAIN Research Center, Université Laval, Quebec, QC, Canada (C.M.M.); and the Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh (D.J.B.)
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2
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Cox R, Rösler L, Weber FD, Blanken TF, Wassing R, Ramautar JR, Van Someren EJW. The first-night effect and the consistency of short sleep in insomnia disorder. J Sleep Res 2024; 33:e13897. [PMID: 37020309 DOI: 10.1111/jsr.13897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/15/2023] [Accepted: 03/16/2023] [Indexed: 04/07/2023]
Abstract
The nature and degree of objective sleep impairments in insomnia disorder remain unclear. This issue is complicated further by potential changes in sleep architecture on the first compared with subsequent nights in the laboratory. Evidence regarding differential first-night effects in people with insomnia disorder and controls is mixed. Here, we aimed to further characterize insomnia- and night-related differences in sleep architecture. A comprehensive set of 26 sleep variables was derived from two consecutive nights of polysomnography in 61 age-matched patients with insomnia and 61 good sleeper controls. People with insomnia expressed consistently poorer sleep than controls on several variables during both nights. While poorer sleep during the first night was observed in both groups, there were qualitative differences regarding the specific sleep variables expressing a first-night effect. Short sleep (total sleep time < 6 hr) was more likely during the first night and in insomnia, although approximately 40% of patients with insomnia presenting with short sleep on night 1 no longer met this criterion on night 2, which is important given the notion of short-sleeping insomnia as a robust subtype.
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Affiliation(s)
- Roy Cox
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Lara Rösler
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Frederik D Weber
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Tessa F Blanken
- Psychological Methods, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Rick Wassing
- Centre for Integrated Research and Understanding of Sleep (CIRUS), Woolcock Institute of Medical Research, The Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jennifer R Ramautar
- N=You Neurodevelopmental Precision Center, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam UMC, Amsterdam, The Netherlands
- Child and Adolescent Psychiatry and Psychosocial Care, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Departments of Integrative Neurophysiology and Psychiatry, Center for Neurogenomics and Cognitive Research, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
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3
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Fernandez FX, Perlis ML. Animal models of human insomnia. J Sleep Res 2023; 32:e13845. [PMID: 36748845 PMCID: PMC10404637 DOI: 10.1111/jsr.13845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 01/20/2023] [Indexed: 02/08/2023]
Abstract
Insomnia disorder (chronic sleep continuity disturbance) is a debilitating condition affecting 5%-10% of the adult population worldwide. To date, researchers have attempted to model insomnia in animals through breeding strategies that create pathologically short-sleeping individuals or with drugs and environmental contexts that directly impose sleeplessness. While these approaches have been invaluable for identifying insomnia susceptibility genes and mapping the neural networks that underpin sleep-wake regulation, they fail to capture concurrently several of the core clinical diagnostic features of insomnia disorder in humans, where sleep continuity disturbance is self-perpetuating, occurs despite adequate sleep opportunity, and is often not accompanied by significant changes in sleep duration or architecture. In the present review, we discuss these issues and then outline ways animal models can be used to develop approaches that are more ecologically valid in their recapitulation of chronic insomnia's natural aetiology and pathophysiology. Conditioning of self-generated sleep loss with these methods promises to create a better understanding of the neuroadaptations that maintain insomnia, including potentially within the infralimbic cortex, a substrate at the crossroads of threat habituation and sleep.
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Affiliation(s)
| | - Michael L. Perlis
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
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4
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McCall WV, Looney SW, Zulfiqar M, Ketcham E, Jones M, Mixson C, McCloud L, Miller BJ, Rosenquist PB. Daytime autonomic nervous system functions differ among adults with and without insomnia symptoms. J Clin Sleep Med 2023; 19:1885-1893. [PMID: 37421322 PMCID: PMC10620659 DOI: 10.5664/jcsm.10704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 06/27/2023] [Accepted: 06/27/2023] [Indexed: 07/10/2023]
Abstract
STUDY OBJECTIVES We gathered data to determine whether daytime assays of the autonomic nervous system would differ between persons with no vs modest insomnia symptoms and would correlate with the severity of insomnia symptoms in patients. METHODS This report is composed of 2 studies. Study 1 conducted pupillary light reflex (PLR) measurements in community volunteers who were not seeking medical care. Study 2 contrasted PLR and heart rate variability in a different sample of community volunteers and a comparison sample of adults seeking outpatient care for insomnia and psychiatric problems. All measurements were taken between 3 and 5 pm. RESULTS In Study 1, volunteers with modest insomnia symptom severity had a more rapid PLR average constriction velocity compared with those with no symptoms. In Study 2, lower heart rate variability, indicating higher levels of physiologic arousal, generally were in agreement with faster PLR average constriction velocity, both of which indicate higher levels of arousal. Insomnia symptom severity was highly correlated with faster average constriction velocity in the patient sample. CONCLUSIONS These studies suggest that (1) daytime measurements of the autonomic nervous system differ between persons with modest vs no insomnia symptoms and (2) insomnia symptom severity is highly correlated with PLR. Daytime measurement of autonomic nervous system activity might allow for daytime point-of-care measurement to characterize the level of physiologic arousal to define a hyperarousal subtype of insomnia disorder. CITATION McCall WV, Looney SW, Zulfiqar M, et al. Daytime autonomic nervous system functions differ among adults with and without insomnia symptoms. J Clin Sleep Med. 2023;19(11):1885-1893.
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Affiliation(s)
- William V. McCall
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Stephen W. Looney
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Maria Zulfiqar
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Evan Ketcham
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Megan Jones
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Carter Mixson
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Laryssa McCloud
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Brian J. Miller
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Peter B. Rosenquist
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia
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5
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Drager LF, Assis M, Bacelar AFR, Poyares DLR, Conway SG, Pires GN, de Azevedo AP, Carissimi A, Eckeli AL, Pentagna Á, Almeida CMO, Franco CMR, Sobreira EST, Stelzer FG, Mendes GM, Minhoto GR, Linares IMP, Sousa KMM, Gitaí LLG, Sukys-Claudino L, Sobreira-Neto MA, Zanini MA, Margis R, Martinez SCG. 2023 Guidelines on the Diagnosis and Treatment of Insomnia in Adults - Brazilian Sleep Association. Sleep Sci 2023; 16:507-549. [PMID: 38370879 PMCID: PMC10869237 DOI: 10.1055/s-0043-1776281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024] Open
Abstract
Chronic insomnia disorder (simplified in this document as insomnia) is an increasingly common clinical condition in society and a frequent complaint at the offices of different areas of health practice (particularly Medicine and Psychology). This scenario has been accompanied by a significant evolution in treatment, as well as challenges in approaching patients in an appropriately way. This clinical guideline, coordinated by the Brazilian Sleep Association and the Brazilian Association of Sleep Medicine and counting on the active participation of various specialists in the area, encompasses an update on the diagnosis and treatment of insomnia in adults. To this end, it followed a structured methodology. Topics of interest related to diagnosis were written based on theoretical framework, evidence in the literature, and professional experience. As for the topics related to the treatment of insomnia, a series of questions were developed based on the PICO acronym (P - Patient, problem, or population; I - Intervention; C - Comparison, control, or comparator; O - Outcome). The work groups defined the eligible options within each of these parameters. Regarding pharmacological interventions, only the ones currently available in Brazil or possibly becoming available in the upcoming years were considered eligible. Systematic reviews were conducted to help prepare the texts and define the level of evidence for each intervention. The final result is an objective and practical document providing recommendations with the best scientific support available to professionals involved in the management of insomnia.
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Affiliation(s)
- Luciano Ferreira Drager
- Associação Brasileira do Sono, São Paulo, SP, Brazil.
- Unidades de HipertenSão, Instituto do Coração (InCor) e Disciplina de Nefrologia, Universidade de São Paulo, São Paulo, SP, Brazil.
| | - Márcia Assis
- Associação Brasileira do Sono, São Paulo, SP, Brazil.
- Clínica do Sono de Curitiba, Hospital São Lucas, Curitiba, Brazil.
| | - Andrea Frota Rego Bacelar
- Associação Brasileira do Sono, São Paulo, SP, Brazil.
- Clínica Bacelar - Neuro e Sono, Rio de Janeiro, RJ, Brazil.
| | - Dalva Lucia Rollemberg Poyares
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
- Instituto do Sono, São Paulo, SP, Brazil.
| | - Silvia Gonçalves Conway
- Instituto de Psiquiatria (IPq), Universidade de São Paulo, São Paulo, SP, Brazil.
- Departamento de Otoneurologia, Universidade de São Paulo, São Paulo, SP, Brazil.
- AkasA - Formação e Conhecimento, São Paulo, SP, Brazil.
| | - Gabriel Natan Pires
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
- Instituto do Sono, São Paulo, SP, Brazil.
| | | | - Alicia Carissimi
- Faculdade Dom Bosco, Porto Alegre, RS, Brazil.
- Cronosul Clínica de Psicologia do Sono, Psicoterapia e Neuropsicologia, Porto Alegre, RS, Brazil.
| | - Allan Luiz Eckeli
- Departamento de Neurociências e Ciências do Comportamento, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil.
| | - Álvaro Pentagna
- Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
| | | | | | - Emmanuelle Silva Tavares Sobreira
- AkasA - Formação e Conhecimento, São Paulo, SP, Brazil.
- Universidade Federal do Ceará, Fortaleza, CE, Brazil.
- Clínica Sinapse Diagnóstico, Fortaleza, CE, Brazil.
| | - Fernando Gustavo Stelzer
- Departamento de Neurociências e Ciências do Comportamento, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil.
| | | | | | - Ila Marques Porto Linares
- Instituto de Psiquiatria (IPq), Universidade de São Paulo, São Paulo, SP, Brazil.
- Instituto da Criança, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
| | - Ksdy Maiara Moura Sousa
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
- SleepUp Tecnologia e Saúde LTDA, São Paulo, SP, Brazil.
| | | | - Lucia Sukys-Claudino
- Disciplina de Neurologia, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil.
| | | | - Marcio Andrei Zanini
- Instituto de Assistência Médica ao Servidor Público Estadual (IAMPSE), São Paulo, SP, Brazil.
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Sinha JK, Ghosh S, Ghosh S, Bhaskar R, Han SS. Improving therapeutic approaches to insomnia: the need for objective sleep data. THE LANCET. HEALTHY LONGEVITY 2023; 4:e459. [PMID: 37659428 DOI: 10.1016/s2666-7568(23)00158-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 07/28/2023] [Indexed: 09/04/2023] Open
Affiliation(s)
| | | | | | - Rakesh Bhaskar
- School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, South Korea
| | - Sung Soo Han
- School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, South Korea.
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Troxel WM, Rodriguez A, Seelam R, Dong L, Perez LG, Tucker JS, Siconolfi D, D'Amico EJ. A latent class approach to understanding longitudinal sleep health and the association with alcohol and cannabis use during late adolescence and emerging adulthood. Addict Behav 2022; 134:107417. [PMID: 35853405 PMCID: PMC10431952 DOI: 10.1016/j.addbeh.2022.107417] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/14/2022] [Accepted: 06/24/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Sleep is a multi-dimensional health behavior associated with elevated risk of substance use. This is the first study to utilize a latent class approach to characterize sleep health across multiple dimensions and across time from late adolescence to emerging adulthood, and to examine associations with alcohol and cannabis use trajectories. METHODS The sample included 2995 emerging adults (mean ages = 18 to 24 years across six waves of data collection; 54% female) who provided data on sleep dimensions (quality, duration, and social jetlag) and frequency and consequences of alcohol and cannabis use. Longitudinal latent class analysis (LLCA) models characterized participants according to the three sleep dimensions. Latent growth models examined trajectories of frequency and consequences of alcohol or cannabis use over time among emergent sleep classes, with and without controlling for covariates. RESULTS LLCA models identified four sleep classes: good sleepers (n = 451; 15.2%); untroubled poor sleepers (n = 1024; 34.2%); troubled, moderately good sleepers (n = 1056; 35.3%); and suboptimal sleepers (n = 460; 15.4%). Good sleepers reported significantly lower levels of alcohol or cannabis use and consequences, and less of an increase in alcohol consequences as compared to suboptimal sleepers. CONCLUSIONS Persistent poor sleep health was associated with higher levels of alcohol and cannabis use and consequences, and greater increases in alcohol-related consequences during the transition from late adolescence to emerging adulthood. Findings have important clinical implications, highlighting that addressing multi-dimensional sleep health may be an important, novel target of intervention to reduce substance use frequency and consequences.
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Affiliation(s)
- Wendy M Troxel
- RAND Corporation, Behavioral and Policy Sciences, 4501 Fifth Avenue, Suite 600, Pittsburgh, PA 15213, USA.
| | - Anthony Rodriguez
- RAND Corporation, Behavioral and Policy Sciences, 20 Park Plaza #920, Boston, MA 02116, USA.
| | - Rachana Seelam
- RAND Corporation, Behavioral and Policy Sciences, 1776 Main Street, Santa Monica, CA 90407-2138, USA.
| | - Lu Dong
- RAND Corporation, Behavioral and Policy Sciences, 1776 Main Street, Santa Monica, CA 90407-2138, USA.
| | - Lilian G Perez
- RAND Corporation, Behavioral and Policy Sciences, 1776 Main Street, Santa Monica, CA 90407-2138, USA.
| | - Joan S Tucker
- RAND Corporation, Behavioral and Policy Sciences, 1776 Main Street, Santa Monica, CA 90407-2138, USA.
| | - Daniel Siconolfi
- RAND Corporation, Behavioral and Policy Sciences, 4501 Fifth Avenue, Suite 600, Pittsburgh, PA 15213, USA.
| | - Elizabeth J D'Amico
- RAND Corporation, Behavioral and Policy Sciences, 1776 Main Street, Santa Monica, CA 90407-2138, USA.
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8
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Beaudin AE, Raneri JK, Ahmed S, Hirsch Allen AJ, Nocon A, Gomes T, Gakwaya S, Sériès F, Kimoff JR, Skomro R, Ayas N, Hanly PJ. Association of insomnia and short sleep duration, alone or with comorbid obstructive sleep apnea, and the risk of chronic kidney disease. Sleep 2022; 45:6571834. [PMID: 35445715 PMCID: PMC9272259 DOI: 10.1093/sleep/zsac088] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/07/2022] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA), sleep fragmentation, and short sleep duration (SD) have been associated with chronic kidney disease (CKD). However, these potential mechanisms for CKD have not been compared in the same cohort. This study investigated the independent and combined impact of OSA and insomnia with short sleep duration on the risk of CKD progression in a sleep clinic population. METHODS In a cross-sectional study design, adults with suspected OSA completed an overnight sleep study and a questionnaire that included the Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI). They also provided blood and urine samples for measurement of the glomerular filtration rate and urine albumin:creatinine ratio, from which the risk of CKD progression was determined. RESULTS Participants (n = 732, 41% female, 55 ± 13 years) were categorized into four groups: no/mild OSA without insomnia (NM-OSA, n = 203), insomnia with SD without OSA (Insomnia-SD, n = 104), moderate-to-severe OSA without insomnia (MS-OSA, n = 242), and comorbid insomnia and OSA with SD (COMISA-SD, n = 183). After stratification, 12.8% of NM-OSA, 15.4% of Insomnia-SD, 28.9% of MS-OSA, and 31.7% of the COMISA-SD participants had an increased risk of CKD progression. Compared to NM-OSA, the odds ratio (OR) for an increased risk of CKD progression was not increased in Insomnia-SD (OR 0.95, confidence interval [CI]: 0.45-1.99) and was increased to the same degree in MS-OSA (OR 2.79, CI: 1.60-4.85) and COMISA-SD (OR 3.04, CI: 1.69-5.47). However, the ORs were similar between the MS-OSA and COMISA-SD groups across all statistical models (p ≥ .883). CONCLUSIONS In a sleep clinic population, insomnia with short sleep duration does not increase the risk of CKD progression; nor does it further increase the risk of CKD progression associated with moderate-to-severe OSA.
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Affiliation(s)
- Andrew E Beaudin
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jill K Raneri
- Sleep Centre, Foothills Medical Centre, Calgary, AB, Canada
| | - Sofia Ahmed
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - A J Hirsch Allen
- Department of Medicine, Respiratory and Critical Care Divisions, University of British Columbia, Vancouver, BC, Canada
| | - Andrhea Nocon
- Division of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Teresa Gomes
- Respiratory Division and Sleep Laboratory, McGill University Health Centre, Montreal, QC, Canada
| | - Simon Gakwaya
- Unité de recherche en pneumologie, Centre de recherche, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec, QC, Canada
| | - Frédéric Sériès
- Unité de recherche en pneumologie, Centre de recherche, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec, QC, Canada
| | - John R Kimoff
- Respiratory Division and Sleep Laboratory, McGill University Health Centre, Montreal, QC, Canada
| | - Robert Skomro
- Division of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Najib Ayas
- Department of Medicine, Respiratory and Critical Care Divisions, University of British Columbia, Vancouver, BC, Canada
| | - Patrick J Hanly
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Sleep Centre, Foothills Medical Centre, Calgary, AB, Canada.,Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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9
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Mun CJ, Weaver KR, Hunt CA, Owens MA, Phillips J, Lerman SF, Buenaver LF, Colloca L, Tennen H, Haythornthwaite JA, Finan PH, Smith MT. Pain Expectancy and Positive Affect Mediate the day-to-day Association Between Objectively Measured Sleep and Pain Severity Among Women With Temporomandibular Disorder. THE JOURNAL OF PAIN 2022; 23:669-679. [PMID: 34839028 DOI: 10.1016/j.jpain.2021.11.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/01/2021] [Accepted: 11/09/2021] [Indexed: 11/19/2022]
Abstract
The majority of individuals with temporomandibular disorders (TMD) experience sleep disturbance, which can maintain and exacerbate chronic pain. However, the factors underlying the sleep-pain link have not been fully elucidated, especially beyond the laboratory. Sleep deprivation can induce threat interpretation bias, as well as impairment in positive affective functioning. Using both actigraphy and daily diaries, we examined whether morning pain expectancy and positive affect mediate the association between previous night's sleep disturbance and next-day overall pain severity. Total sleep time (TST) was selected as the primary measure of sleep. The sample included 144 women (mean age = 36 [SD = 11.1]) with TMD who displayed at least subclinical insomnia. Sleep was assessed for 14 days using actigraphy which was validated by concurrent sleep diaries. Daily diary assessments of pain-related experiences and affective states were conducted twice per day (ie, once upon participants' waking and the other prior to going to sleep) for the same 14-day period. Multilevel structural equation modeling revealed that both morning pain expectancy (95% CI: -.0004, -.00003) and positive affect (95% CI: -.0005, -.000001) mediated the association between previous night's TST and next-day's overall pain severity, such that shorter previous night TST was associated with higher next-morning pain expectancy and lower positive affect, which in turn were associated with a greater level of next-day's overall pain severity while controlling for morning pain severity. Reducing exaggerated daily pain expectancy and up-regulating positive affect may be important intervention targets for disengaging the sleep-pain link among individuals with co-occurring TMD and sleep disturbance. PERSPECTIVE: The daily link between previous night sleep duration and next day pain severity is mediated by morning pain expectancy and positive affect among women with temporomandibular disorder and sleep disturbance. Reducing pain expectancy and increasing positive affect may serve an important role in improving self-management of chronic pain.
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Affiliation(s)
- Chung Jung Mun
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Kristen R Weaver
- Department of Pain and Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, Maryland
| | - Carly A Hunt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael A Owens
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jane Phillips
- Department of Neural and Pain Sciences, Brotman Facial Pain Clinic, University of Maryland, School of Dentistry, Baltimore, Maryland
| | - Sheera F Lerman
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Luis F Buenaver
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Luana Colloca
- Department of Pain and Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, Maryland
| | - Howard Tennen
- Department of Public Health Sciences, UConn Health, Farmington, Connecticut
| | - Jennifer A Haythornthwaite
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Patrick H Finan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael T Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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10
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Hejazi NS, Farmer CA, Oppenheimer M, Falodun TB, Park LT, Duncan WC, Zarate CA. The relationship between the HDRS insomnia items and polysomnographic (PSG) measures in individuals with treatment-resistant depression. J Psychiatr Res 2022; 148:27-33. [PMID: 35092868 PMCID: PMC8957609 DOI: 10.1016/j.jpsychires.2022.01.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 01/04/2022] [Accepted: 01/09/2022] [Indexed: 10/19/2022]
Abstract
The Hamilton Depression Rating Scale (HDRS), which includes several insomnia-related items, is potentially valuable in evaluating both depressive and sleep symptoms. However, the HDRS insomnia items have not been fully assessed by objective measures. This study compared the three HDRS insomnia items (Early, Middle, and Late) with the corresponding objective polysomnography (PSG) measures of Sleep Latency (SL), middle wakefulness, and late wakefulness. The study used HDRS and PSG data from 130 baseline nights, drawn from 80 participants enrolled in clinical trials for treatment-resistant depression (TRD). Mixed models evaluated the relationship between the HDRS and PSG, and primary analyses examined the Early, Middle, and Late Insomnia HDRS items and the PSG variables SL and Waking After Sleep Onset (WASO). To approximate the Middle and Late HDRS Insomnia items more closely, WASO was divided into WASO before 4:00 a.m. (waking between Sleep Onset and 0400 h) and WASO after 4:00 a.m. (waking between 0400 h and 0700 h). Secondary analyses included summed HDRS Global Insomnia score. HDRS Early and Late Insomnia items predicted objective PSG measures of early and late wakefulness. For Early Insomnia, each additional point in severity was associated with 61% [95%CI: 35%, 93%] longer SL. For Late Insomnia, each additional point was associated with a 35% [95% CI: 13%, 63%] increase in WASO after 4:00 a.m. Middle Insomnia was marginally related to WASO before 4:00 a.m. HDRS Early and Late Insomnia items may thus provide an index of wakefulness in TRD and help monitor treatment response when objective measures such as PSG are not feasible. CLINICAL TRIALS IDENTIFIER: www.clinicaltrials.gov (NCT01204918, NCT00054704, NCT00088699).
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Affiliation(s)
- Nadia S Hejazi
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
| | - Cristan A Farmer
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Mark Oppenheimer
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Tolulope B Falodun
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Lawrence T Park
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Wallace C Duncan
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Carlos A Zarate
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
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11
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Advancement in the contemporary clinical diagnosis and treatment strategies of insomnia disorder. Sleep Med 2022; 91:124-140. [DOI: 10.1016/j.sleep.2022.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 01/27/2022] [Accepted: 02/19/2022] [Indexed: 11/22/2022]
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12
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Bian Z, Zhang W, Tang J, Fei Q, Hu M, Chen X, Su L, Fei C, Ji D, Mao C, Tong H, Yuan X, Lu T. Mechanisms Underlying the Action of Ziziphi Spinosae Semen in the Treatment of Insomnia: A Study Involving Network Pharmacology and Experimental Validation. Front Pharmacol 2022; 12:752211. [PMID: 35002696 PMCID: PMC8740267 DOI: 10.3389/fphar.2021.752211] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 11/25/2021] [Indexed: 01/13/2023] Open
Abstract
Purpose: This study aimed to investigate the potential mechanisms and related bioactive components of ZSS for the treatment of insomnia. Method: The insomnia model of rat induced by PCPA was established. After oral administration of ZSS extract, the general morphological observation, pentobarbital sodium-induced sleep test and histopathological evaluation were carried out. Network pharmacology, assisted by UHPLC-Q-Exactive-MS/MS analysis, was developed to identify the targets of ZSS in the treatment of insomnia, as well as the corresponding signaling pathways. In addition, we validated the identified targets and pathways by RT-qPCR and immunohistochemical analysis. Results: The pentobarbital sodium-induced sleep test, determination of 5-HT and GABA levles in hypothalamic tissues and HE staining showed that ZSS extract was an effective treatment for insomnia. Network pharmacology analysis identified a total of 19 candidate bioactive ingredients in ZSS extract, along with 433 potentially related targets. Next, we performed protein-protein interaction (PPI), MCODE clustering analysis, GO functional enrichment analysis, KEGG pathway enrichment analysis, and ingredient-target-pathway (I-T-P) sub-networks analysis. These methods allowed us to investigate the synergistic therapeutic effects of crucial pathways, including the serotonergic and GABAergic synapse pathways. Our analyses revealed that palmitic acid, coclaurine, jujuboside A, N-nornuciferine, caaverine, magnoflorine, jujuboside B, and betulinic acid, all played key roles in the regulation of these crucial pathways. Finally, we used the PCPA-induced insomnia in rats to validate the data generated by network pharmacology; these in vivo experiments clearly showed that pathways associated with the serotonergic and GABAergic system were activated in the rats model. Furthermore, ZSS treatment significantly suppressed high levels of HTR1A, GABRA1, and GABRG2 expression in the hypothalamus and reduced the expression levels of HTR2A. Conclusion: Based on the combination of comprehensive network pharmacology and in vivo experiments, we successfully identified the potential pharmacological mechanisms underlying the action of ZSS in the treatment of insomnia. The results provide a theoretical basis for further development and utilization of ZSS, and also provide support for the development of innovative drugs for the treatment of insomnia.
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Affiliation(s)
- Zhenhua Bian
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.,Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Wenming Zhang
- Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Jingyue Tang
- Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Qianqian Fei
- Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Minmin Hu
- Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Xiaowei Chen
- Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Lianlin Su
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
| | - Chenghao Fei
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
| | - De Ji
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
| | - Chunqin Mao
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
| | - Huangjin Tong
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xiaohang Yuan
- Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Tulin Lu
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
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13
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Xie J, Li Y, Zhang Y, Vgontzas AN, Basta M, Chen B, Xu C, Tang X. Sleep duration and metabolic syndrome: An updated systematic review and meta-analysis. Sleep Med Rev 2021; 59:101451. [PMID: 33618187 DOI: 10.1016/j.smrv.2021.101451] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 08/11/2020] [Accepted: 11/22/2020] [Indexed: 02/05/2023]
Abstract
We examined the association between self-reported sleep duration and metabolic syndrome (MetS). Data were collected from 36 cross-sectional and 9 longitudinal studies with a total of 164,799 MetS subjects and 430,895 controls. Odds ratios (ORs) for prevalent MetS and risk ratios (RRs) for incident MetS were calculated through meta-analyses of adjusted data from individual studies. Short sleep duration was significantly associated with increased prevalent MetS (OR = 1.11, 95% CI = 1.05-1.18) and incident MetS (RR = 1.28, 95% CI = 1.07-1.53) in cross-sectional and longitudinal studies, respectively. Furthermore, long sleep duration was significantly associated with increased prevalent MetS in cross-sectional studies (OR = 1.14, 95% CI = 1.05-1.23), but not incident MetS (RR = 1.16, 95% CI = 0.95-1.41) in longitudinal studies. Interestingly, the association between long sleep and prevalent MetS was found in sleep duration defined by 24-h sleep (including naps) rather than nighttime sleep. Our findings suggest 1) a "U-shape" relationship between sleep duration and MetS in cross-sectional studies and 2) association between short sleep duration, but not long sleep duration with incident MetS. Future studies should shed light on the underlying mechanisms related to the association between sleep duration and MetS and examine if normalizing sleep duration reduces MetS risk in the general population.
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Affiliation(s)
- Jing Xie
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, China; Sleep Medicine Center, Shantou University Medical College, Shantou, China
| | - Yun Li
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, China; Sleep Medicine Center, Shantou University Medical College, Shantou, China.
| | - Yajun Zhang
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, China; Sleep Medicine Center, Shantou University Medical College, Shantou, China
| | - Alexandros N Vgontzas
- Sleep Research & Treatment Center, Department of Psychiatry, Pennsylvania State University, College of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Maria Basta
- Sleep Research & Treatment Center, Department of Psychiatry, Pennsylvania State University, College of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Baixin Chen
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, China; Sleep Medicine Center, Shantou University Medical College, Shantou, China
| | - Chongtao Xu
- Sleep Medicine Center, Shantou University Medical College, Shantou, China
| | - Xiangdong Tang
- Sleep Medicine Center, Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China
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14
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Tian N, Wheaton AG, Zack M, Croft JB, Greenlund KJ. Sleep duration and quality among U.S. adults with epilepsy: National Health Interview Survey 2013, 2015, and 2017. Epilepsy Behav 2021; 122:108194. [PMID: 34256341 PMCID: PMC10984256 DOI: 10.1016/j.yebeh.2021.108194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Epilepsy is associated with a high prevalence of sleep disturbance. However, population-based studies on the burden of sleep disturbance in people with epilepsy are limited. This study assessed sleep duration and sleep quality by epilepsy status in the general U.S. adult population aged ≥ 18 years. METHODS We pooled data of cross-sectional National Health Interview Surveys in 2013, 2015, and 2017 to compare the prevalence of sleep duration and quality among those without epilepsy (N = 93,126) with those with any epilepsy (a history of physician-diagnosed epilepsy) (N = 1774), those with active epilepsy (those with a history of physician-diagnosed epilepsy who were currently taking medication to control it, had one or more seizures in the past year, or both) (N = 1101), and those with inactive epilepsy (those with a history of physician-diagnosed epilepsy who were neither taking medication for epilepsy nor had had a seizure in the past year) (N = 673). We also compared these measures between those with active and those with inactive epilepsy. The prevalences were adjusted for sociodemographics, behaviors, and health covariates, with multivariable logistic regression. We used Z-tests to compare prevalences of sleep duration and quality at the statistical significance level of 0.05. RESULTS Adults with any epilepsy reported significantly higher adjusted prevalences of short sleep duration (<7 h) (36.0% vs. 31.8%) and long sleep duration (>9 h per day) (6.7% vs. 3.7%) but a lower prevalence of healthy sleep duration (7-9 h per day) (57.4% vs.64.6%) than those without epilepsy. In the past week, adults with any epilepsy reported significantly higher adjusted prevalences than adults without epilepsy of having trouble falling asleep (25.0% vs. 20.3%), staying asleep (34.4% vs. 26.3%), nonrestorative sleep (adults did not wake up feeling well rested) (≥3days) (50.3% vs. 44.3%), and taking medication to help themselves fall asleep or stay asleep (≥1 times) (20.9% vs. 13.5%). However, adults with active epilepsy did not differ from adults with inactive epilepsy with respect to these sleep duration and quality measures. CONCLUSIONS Adults with epilepsy reported more short or long sleep duration and worse sleep quality than those without epilepsy. Neither seizure occurrence nor antiepileptic drug use accounted for these differences in sleep duration and quality. Careful screening for sleep complaints as well as identifying and intervening on the modifiable risk factors associated with sleep disturbances among people with epilepsy could improve epilepsy outcomes and quality of life.
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Affiliation(s)
- Niu Tian
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States.
| | - Anne G Wheaton
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States
| | - Matthew Zack
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States
| | - Janet B Croft
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States
| | - Kurt J Greenlund
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States
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15
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Depressive and stress symptoms in insomnia patients predict group cognitive-behavioral therapy for insomnia long-term effectiveness: A data-driven analysis. J Affect Disord 2021; 289:117-124. [PMID: 33979721 DOI: 10.1016/j.jad.2021.04.021] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 04/09/2021] [Accepted: 04/15/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND Insomnia Disorder is characterized by high degree of phenotypic heterogeneity, that might influence treatment response. METHODS 123 of 294 insomnia patients initially recruited (66.7% females, age=40.59±11.89) were assessed before and after group Cognitive-Behavioral Therapy for Insomnia (CBT-I), as well as at follow-up (7.8±1.6 years after the end-of-treatment). By use of latent class analysis (LCA) we identified insomnia subtypes according with baseline scores of insomnia severity and features, anxiety, depression, stress and sleepiness symptoms, circadian rhythm, and treatment effectiveness (Delta score of Insomnia Severity Index-ISI between baseline and end-of-treatment). RESULTS By LCA we revealed three classes: "PURE INSOMNIA", "INSOMNIA+ANXIETY+DEPRESSION+STRESS", and "INSOMNIA+ANXIETY". The improvements in insomnia severity was maintained up to 10 years after the end-of-treatment, but with differences between classes (p<0.05). Class "INSOMNIA+ANXIETY+DEPRESSION+STRESS" showed at the end-of-treatment the largest percentage of responders (63.5% = Insomnia Severity Index decrease ≥8). However, at follow up the effect was less and 48.1% had a moderate or severe insomnia (Insomnia Severity Index >14). LIMITATIONS The lack of a control group and the absence of a complete clinical assessment at the follow-up limit the interpretability of our results. CONCLUSIONS Our data driven analysis suggest insomnia heterogeneity can be categorized into sub-classes by depression, anxiety, and stress symptoms. In addition, insomnia patients with stress and depression symptoms maintained highest percentage of clinical depression at the end-of-treatment and insomnia at follow-up, in comparison with others classes. Stress and depression symptoms should be considered risk factors that play an important role in the long-term outcome of CBT-I.
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16
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Lovato N, Micic G, Lack L. Sleep misestimation among older adults suffering from insomnia with short and normal objective sleep duration and the effects of cognitive behavior therapy. Sleep 2021; 44:5999488. [PMID: 33231256 DOI: 10.1093/sleep/zsaa250] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 10/20/2020] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Compare the degree of sleep misestimation in older adults with insomnia presenting with objectively short relative to normal sleep duration, and investigate the differential therapeutic response on sleep misestimation between the proposed sleep duration phenotypes to cognitive-behavior therapy for insomnia (CBTi). METHODS Ninety-one adults (male = 43, mean age = 63.34, SD = 6.41) with sleep maintenance insomnia were classified as short sleepers (SS; <6 h total sleep time [TST]) or normal sleepers (NS; ≥6 h TST) based on one night of home-based polysomnography. Participants were randomly allocated to CBTi (N = 30 SS, N = 33 NS) or to a wait-list control condition (N = 9 SS, N = 19 NS). Sleep misestimation was calculated as the difference scores of subjective (sleep diary reported) and objective (derived from actigraphy) sleep onset latency (SOL), wake after sleep onset (WASO), and TST at pre- and post-treatment, and 3-month follow-up. RESULTS Prior to treatment, perception of SOL, WASO, and TST did not differ between patients with objectively short sleep duration relative to those with objectively normal sleep duration. Patients' perception of WASO and TST, improved immediately following treatment and at 3-month follow-up relative to the waitlist group. These improvements did not differ significantly between those with short or normal objective sleep duration prior to treatment. CONCLUSIONS The degree of sleep misestimation is similar for older adults suffering from chronic insomnia with short or normal objective sleep duration. Irrespective of objective sleep duration prior to treatment, CBTi produces significant improvements in sleep perception. CLINICAL TRIAL REGISTRATION NUMBER ACTRN12620000883910.
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Affiliation(s)
- Nicole Lovato
- Adelaide Institute for Sleep Health: A Flinders Centre for Research Excellence, Flinders University of South Australia, Adelaide, Australia.,National Centre for Sleep Health Services Research, Flinders University, Adelaide, Australia
| | - Gorica Micic
- Adelaide Institute for Sleep Health: A Flinders Centre for Research Excellence, Flinders University of South Australia, Adelaide, Australia
| | - Leon Lack
- Adelaide Institute for Sleep Health: A Flinders Centre for Research Excellence, Flinders University of South Australia, Adelaide, Australia.,School of Psychology, Flinders University of South Australia, Adelaide, Australia
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17
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Rosenberg R, Citrome L, Drake CL. Advances in the Treatment of Chronic Insomnia: A Narrative Review of New Nonpharmacologic and Pharmacologic Therapies. Neuropsychiatr Dis Treat 2021; 17:2549-2566. [PMID: 34393484 PMCID: PMC8354724 DOI: 10.2147/ndt.s297504] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 07/16/2021] [Indexed: 12/13/2022] Open
Abstract
Chronic insomnia disorder, which affects 6-10% of the population, is diagnostically characterized by ongoing difficulties with initiating or maintaining sleep occurring at least three times per week, persisting for at least 3 months, and associated with daytime impairment. While chronic insomnia is often considered a condition primarily related to impaired sleep, the disorder can also adversely affect domains of physical and mental health, quality of life, and daytime function, which highlights the importance of treating the multidimensional sleep disorder. Owing to misperceptions about the safety and effectiveness of treatment options, many individuals with insomnia may not seek professional treatment, and alternatively use ineffective home remedies or over-the-counter medications to improve sleep. Some physicians may even believe that insomnia is remediated by simply having the patient "get more sleep". Unfortunately, treatment of insomnia is not always that simple. The disorder's complex underlying pathophysiology warrants consideration of different nonpharmacologic and pharmacologic treatment options. Indeed, recent insights gained from research into the pathophysiology of insomnia have facilitated development of newer treatment approaches with more efficacious outcomes. This narrative review provides a summary of the diagnostic criteria and pathophysiology of insomnia and its subtypes. Further, this review emphasizes new and emerging nonpharmacologic and pharmacologic treatments for chronic insomnia, including recent enhancements in approaches to cognitive behavioral therapy for insomnia (CBT-I) and the new dual orexin receptor antagonist (DORA) pharmacologics. These advances in treatment have expanded the treatment options and are likely to result in improved outcomes in patients with chronic insomnia.
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Affiliation(s)
| | - Leslie Citrome
- Department of Psychiatry and Behavioral Sciences, New York Medical College, Valhalla, NY, USA
| | - Christopher L Drake
- Thomas Roth Sleep Disorders and Research Center, Henry Ford Health System, Detroit, MI, USA
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18
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Olaithe M, Ree M, McArdle N, Donaldson S, Pushpanathan M, Eastwood PR, Bucks RS. Cognitive Dysfunction in Insomnia Phenotypes: Further Evidence for Different Disorders. Front Psychiatry 2021; 12:688672. [PMID: 34349682 PMCID: PMC8326515 DOI: 10.3389/fpsyt.2021.688672] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/22/2021] [Indexed: 11/13/2022] Open
Abstract
Study Objectives: To determine cognitive profiles in individuals with short sleep duration insomnia (SSDI) and normal sleep duration insomnia (NSDI; also, paradoxical insomnia), compared to healthy sleepers. Method: Polysomnographic (PSG) and neuropsychological data were analysed from 902 community-based Raine Study participants aged 22 ± 0.6 years of whom 124 met criteria for insomnia (53 with NSDI and 71 with or SSDI) and 246 were classified as healthy with normal sleep (i.e., without insomnia or other sleep disorders). Measurements of self- report (attention and memory) and laboratory-assessed (attention, episodic memory, working memory, learning, and psychomotor function) cognition and mood, and PSG-based sleep stages (% total sleep time; %TST) were compared between these 3 groups. Results: In comparison to the healthy sleeper group, both insomnia groups had poorer self-reported attention, memory, mood, and sleep, and poorer laboratory-assessed attention (inconsistency). The NSDI group had less consistent working memory reaction time than healthy-sleepers or those with SSDI. The SSDI group had more inconsistency in executive function (shifting), and showed greater %TST in stage N1 and N3, and less REM sleep than either healthy-sleepers or those with NSDI. Conclusions: Individuals with NSDI demonstrated greater working memory inconsistency, despite no laboratory assessed sleep problems, implicating early signs of pathophysiology other than disturbed sleep. Those with SSDI demonstrated different sleep architecture, poorer attention (inconsistency), and greater executive function (inconsistency) compared to healthy-sleepers and those with NSDI, implicating sleep disturbance in the disease process of this phenotype.
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Affiliation(s)
- Michelle Olaithe
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Melissa Ree
- School of Psychological Science, University of Western Australia, Perth, WA, Australia.,Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia
| | - Nigel McArdle
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia.,Department of Pulmonary Physiology and Sleep Medicine, West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Sara Donaldson
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Maria Pushpanathan
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Peter R Eastwood
- Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia.,Department of Pulmonary Physiology and Sleep Medicine, West Australian Sleep Disorders Research Institute, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.,College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| | - Romola S Bucks
- School of Psychological Science, University of Western Australia, Perth, WA, Australia.,School of Population and Global Health, University of Western Australia, Perth, WA, Australia
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19
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Cain MA, Brumley J, Louis-Jacques A, Drerup M, Stern M, Louis JM. A Pilot Study of a Sleep Intervention Delivered through Group Prenatal Care to Overweight and Obese Women. Behav Sleep Med 2020; 18:477-487. [PMID: 31130005 DOI: 10.1080/15402002.2019.1613995] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVES We sought to investigate the feasibility of a behavioral sleep intervention for insomnia, delivered through group prenatal care and the relationship of this intervention to improvements in insomnia symptoms and sleep quality. PARTICIPANTS Women receiving prenatal care and reporting a pre-pregnancy BMI of ≥25 kg/m2 and sleep duration of <6.5 h per night. METHODS Participants were randomized to group prenatal care or group prenatal care with a behavioral sleep intervention, adapted from cognitive behavioral therapy for insomnia (CBT-I) online program Go! to Sleep®. In the second trimester (T1), late third trimester (T2) and 6-8 weeks postpartum (T3) study assessments were completed including the Insomnia Severity Index, Pittsburgh Sleep Quality Index, fasting glucose and insulin and weight and height. Data were analyzed using independent samples t-tests, chi-square tests, correlations, and two-way repeated measures ANOVA where appropriate. P < .05 was set as the level of significance. RESULTS From May 2014 to April 2015, 311 women were evaluated for inclusion and 53 women were randomized to participate (27 intervention; 26 control), 15% were lost to follow up. The intervention group had lower third trimester and postpartum levels of moderate to severe insomnia (T2 50.0% vs 85.0% (p = .018) and T3 13.6% vs 52.4% (p-.008)) and mean insomnia severity scores (T2 (14.7 (±6.6) vs 19.3 (± 6.0) p = .02) and T3 (9.7 (±5.4) vs 15.1(±7.2) p = .01)) when compared to the control group. CONCLUSION A randomized controlled trial of a behavioral sleep intervention for insomnia delivered through group prenatal care led to improvements in insomnia symptoms.
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Affiliation(s)
- Mary Ashley Cain
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of South Florida Morsani College of Medicine , Tampa, Florida, USA
| | - Jessica Brumley
- Department of Obstetrics and Gynecology, Division of midwifery, University of South Florida Morsani College of Medicine , Tampa, Florida, USA
| | - Adetola Louis-Jacques
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of South Florida Morsani College of Medicine , Tampa, Florida, USA
| | - Michelle Drerup
- Department of sleep disorders, Cleveland Clinic Sleep Disorders Center , Cleveland, OH
| | - Marilyn Stern
- Department of Child and Family Studies, University of South Florida , Tampa
| | - Judette M Louis
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of South Florida Morsani College of Medicine , Tampa, Florida, USA
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20
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Pruiksma KE, Hale WJ, Mintz J, Peterson AL, Young-McCaughan S, Wilkerson A, Nicholson K, Dondanville KA, Fina BA, Borah EV, Roache JD, Litz BT, Bryan CJ, Taylor DJ. Predictors of Cognitive Behavioral Therapy for Insomnia (CBTi) Outcomes in Active-Duty U.S. Army Personnel. Behav Ther 2020; 51:522-534. [PMID: 32586427 DOI: 10.1016/j.beth.2020.02.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 02/10/2020] [Accepted: 02/10/2020] [Indexed: 10/25/2022]
Abstract
Cognitive behavioral therapy for insomnia (CBTi) is well established as the first-line treatment for the management of chronic insomnia. Identifying predictors of response to CBTi should enable the field to efficiently utilize resources to treat those who are likely to respond and to personalize treatment approaches to optimize outcomes for those who are less likely to respond to traditional CBTi. Although a range of studies have been conducted, no clear pattern of predictors of response to CBTi has emerged. The purpose of this study was to examine the impact and relative importance of a comprehensive group of pretreatment predictors of insomnia outcomes in 99 active-duty service members who received in-person CBTi in a randomized clinical trial. Results indicated that higher levels of baseline insomnia severity and total sleep time predicted greater improvements on the Insomnia Severity Index (ISI) following treatment. Higher depression symptoms and a history of head injury predicted a worse response to treatment (i.e., smaller improvements on the ISI). Clinically meaningful improvements, as measured by the reliable change index (RCI), were found in 59% of the sample. Over and above baseline insomnia severity, only depressive symptoms predicted this outcome. Future studies should examine if modifications to CBTi based on these predictors of response can improve outcomes.
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Affiliation(s)
| | - Willie J Hale
- University of Texas Health Science Center at San Antonio; University of Texas at San Antonio
| | - Jim Mintz
- University of Texas Health Science Center at San Antonio
| | - Alan L Peterson
- University of Texas Health Science Center at San Antonio; South Texas Veterans Health Care System, San Antonio; University of Texas at San Antonio
| | | | | | | | | | - Brooke A Fina
- University of Texas Health Science Center at San Antonio
| | - Elisa V Borah
- University of Texas Health Science Center at San Antonio
| | - John D Roache
- University of Texas Health Science Center at San Antonio
| | | | - Craig J Bryan
- National Center for Veterans Studies, Salt Lake City, UT; University of Utah
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21
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Winiger EA, Huggett SB, Hatoum AS, Friedman NP, Drake CL, Wright KP, Hewitt JK. Onset of regular cannabis use and young adult insomnia: an analysis of shared genetic liability. Sleep 2020; 43:zsz293. [PMID: 31855253 PMCID: PMC7368342 DOI: 10.1093/sleep/zsz293] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 11/22/2019] [Indexed: 01/13/2023] Open
Abstract
STUDY OBJECTIVES Estimate the genetic and environmental influences on the relationship between onset of regular cannabis use and young adult insomnia. METHODS In a population-based twin cohort of 1882 twins (56% female, mean age = 22.99, SD = 2.97) we explored the genetic/environmental etiology of the relationship between onset of regular cannabis use and insomnia-related outcomes via multivariate twin models. RESULTS Controlling for sex, current depression symptoms, and prior diagnosis of an anxiety or depression disorder, adult twins who reported early onset for regular cannabis use (age 17 or younger) were more likely to have insomnia (β = 0.07, p = 0.024) and insomnia with short sleep on weekdays (β = 0.08, p = 0.003) as young adults. We found significant genetic contributions for the onset of regular cannabis use (a2 = 76%, p < 0.001), insomnia (a2 = 44%, p < 0.001), and insomnia with short sleep on weekdays (a2 = 37%, p < 0.001). We found significant genetic correlations between onset of regular use and both insomnia (rA = 0.20, p = 0.047) and insomnia with short sleep on weekdays (rA = 0.25, p = 0.008) but no significant environmental associations between these traits. CONCLUSIONS We found common genetic liabilities for early onset of regular cannabis use and insomnia, implying pleiotropic influences of genes on both traits.
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Affiliation(s)
- Evan A Winiger
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | - Spencer B Huggett
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | - Alexander S Hatoum
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | - Naomi P Friedman
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
| | | | - Kenneth P Wright
- Department of Integrative Physiology, University of Colorado - Boulder, Boulder, CO
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado - Boulder, Boulder, CO
- Department of Psychology and Neuroscience, University of Colorado - Boulder, Boulder, CO
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22
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Abstract
The concept of sleep health provides a positive holistic framing of multiple sleep characteristics, including sleep duration, continuity, timing, alertness, and satisfaction. Sleep health promotion is an underrecognized public health opportunity with implications for a wide range of critical health outcomes, including cardiovascular disease, obesity, mental health, and neurodegenerative disease. Using a socioecological framework, we describe interacting domains of individual, social, and contextual influences on sleep health. To the extent that these determinants of sleep health are modifiable, sleep and public health researchers may benefit from taking a multilevel approach for addressing disparities in sleep health. For example, in addition to providing individual-level sleep behavioral recommendations, health promotion interventions need to occur at multiple contextual levels (e.g., family, schools, workplaces, media, and policy). Because sleep health, a key indicator of overall health, is unevenly distributed across the population, we consider improving sleep health a necessary step toward achieving health equity.
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Affiliation(s)
- Lauren Hale
- Program in Public Health; and Department of Family, Population, and Preventive Medicine; Renaissance School of Medicine, Stony Brook University, Stony Brook, New York 11794-8338, USA;
| | - Wendy Troxel
- Division of Behavior and Policy Sciences, RAND Corporation, Pittsburgh, Pennsylvania 15213, USA;
| | - Daniel J Buysse
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA;
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23
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Hassinger AB, Bletnisky N, Dudekula R, El-Solh AA. Selecting a pharmacotherapy regimen for patients with chronic insomnia. Expert Opin Pharmacother 2020; 21:1035-1043. [PMID: 32202451 DOI: 10.1080/14656566.2020.1743265] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Chronic insomnia, whether it is primary or in combination with another medical or psychiatric disorder, is a prevalent condition associated with significant morbidity, reduced productivity, increased risk of accidents, and poor quality of life. Pharmacologic and behavioral treatments have equivalent efficacy with each having its own advantages and limitations. AREAS COVERED The purpose of this perspective is to delineate the limitations encountered in implementing cognitive behavioral therapy (CBT) and to review the pharmacological treatments designed to target the different phenotypes of insomnia. The discussions address how to choose the optimal medication or combination thereof based on patients' characteristics, available medications, and the presence of comorbid conditions. Selective nonbenzodiazepine sedative 'Z-drug' hypnotics, melatonin receptor agonist-ramelteon, and low-dose doxepin are the agents of choice for treatment of primary and comorbid insomnia. EXPERT OPINION A pharmacological intervention should be offered if cognitive behavioral therapy for insomnia is not available or has failed to achieve its goals. Increasing evidence of the significant adverse consequences of long-term benzodiazepines should limit the prescription of these agents to specific conditions. Testing novel dosing regimens with a combination of hypnotic classes augmented with CBT deserve further investigation.
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Affiliation(s)
- Amanda B Hassinger
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo , Buffalo, NY, USA.,VA Western New York Healthcare System , Buffalo, NY, USA
| | - Nikolas Bletnisky
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo , Buffalo, NY, USA.,VA Western New York Healthcare System , Buffalo, NY, USA
| | - Rizwan Dudekula
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo , Buffalo, NY, USA.,VA Western New York Healthcare System , Buffalo, NY, USA
| | - Ali A El-Solh
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo , Buffalo, NY, USA.,VA Western New York Healthcare System , Buffalo, NY, USA.,Department of Epidemiology and Environmental Health, Research and Development, School of Public Health, University at Buffalo , Buffalo, NY, USA
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24
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Wang C, Yang WJ, Yu XT, Fu C, Li JJ, Wang J, Xu WL, Zheng YX, Chen XY, Chen YF. Acupuncture for insomnia with short sleep duration: protocol for a randomised controlled trial. BMJ Open 2020; 10:e033731. [PMID: 32139486 PMCID: PMC7059535 DOI: 10.1136/bmjopen-2019-033731] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Insomnia with short sleep duration has a more serious negative impact on patient health. The existing literature suggests that medication therapy is more effective for this phenotype of insomnia compared with cognitive-behavioural therapy. However, the potential side effects of hypnotic medications hinder their clinical application. Acupuncture has been widely used in the treatment of insomnia, but it remains unclear whether it has therapeutic efficacy for insomnia with short sleep duration. The purpose of this trial is to evaluate the efficacy and safety of acupuncture for insomnia with short sleep duration. METHODS AND ANALYSIS This study is designed as a randomised, single-centre, single-blinded, placebo acupuncture controlled trial involving 152 participants. Eligible patients will be divided into two groups according to the objective total sleep time: insomnia with normal sleep duration group and insomnia with short sleep duration group. Then, patients in each group will be randomly assigned to two subgroups, the treatment group (acupuncture) and the control group (placebo acupuncture), in a 1:1 ratio with 38 subjects in each subgroup. The primary outcome is the Pittsburgh Sleep Quality Index and the Insomnia Severity Index. Secondary outcomes are actigraphy, the Beck Anxiety Inventory, the Beck Depression Inventory and the Fatigue Severity Scale. All adverse effects will be assessed by the Treatment Emergent Symptom Scale. Outcomes will be evaluated at baseline, post treatment, as well as at 1-week and 1-month follow-up. ETHICS AND DISSEMINATION This protocol has been approved by the ethics committee of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine (no. 2019-17). Written informed consent will be obtained from all participants. The results will be disseminated through peer-reviewed journals for publications. TRIAL REGISTRATION NUMBER ChiCTR1900023473; Pre-results.
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Affiliation(s)
- Cong Wang
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wen-Jia Yang
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xin-Tong Yu
- Laboratory Center of Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Cong Fu
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jin-Jin Li
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jing Wang
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wen-Lin Xu
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yi-Xin Zheng
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | | | - Yun-Fei Chen
- Department of Acupuncture and Moxibustion, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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25
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Collen JF, York CM. Wrist Wearables: More Questions than Answers? J Clin Sleep Med 2019; 15:1077-1078. [PMID: 31482827 PMCID: PMC6707053 DOI: 10.5664/jcsm.7858] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 06/21/2019] [Accepted: 06/21/2019] [Indexed: 01/10/2023]
Abstract
CITATION Collen JF, York CM. Wrist wearables: more questions than answers? J Clin Sleep Med. 2019;15(8):1077-1078.
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Affiliation(s)
- Jacob F. Collen
- Sleep Disorders Center, Walter Reed National Military Medical Center, Bethesda, Maryland
- Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Carla M. York
- Sleep Disorders Center, Walter Reed National Military Medical Center, Bethesda, Maryland
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26
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Syauqy A, Hsu CY, Rau HH, Kurniawan AL, Chao JCJ. Association of Sleep Duration and Insomnia Symptoms with Components of Metabolic Syndrome and Inflammation in Middle-Aged and Older Adults with Metabolic Syndrome in Taiwan. Nutrients 2019; 11:nu11081848. [PMID: 31404954 PMCID: PMC6723777 DOI: 10.3390/nu11081848] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/06/2019] [Accepted: 08/07/2019] [Indexed: 12/15/2022] Open
Abstract
The study determined the association of sleep duration and insomnia symptoms with the components of metabolic syndrome and inflammation in middle-aged and older adults with metabolic syndrome in Taiwan. This cross-sectional study used the database compiled in Taiwan between 2004–2013. A total of 26,016 volunteers aged 35 years and above were selected. Metabolic syndrome was defined according to the International Diabetes Federation. Compared with regular sleep duration (6–8 h/day), short (<6 h/day) or long sleep duration (>8 h/day) and insomnia symptoms significantly increased the odds ratios of high waist circumference, high blood pressure, low high-density lipoprotein-cholesterol, high triglycerides, high fasting blood glucose, and high C-reactive protein. Insomnia symptoms did not modify the effects of sleep duration on the components of metabolic syndrome and inflammation. Our study suggests that short or long sleep duration and insomnia symptoms may have an adverse effect on metabolic syndrome and inflammation.
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Affiliation(s)
- Ahmad Syauqy
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11031, Taiwan
- Department of Nutrition Science, Faculty of Medicine, Diponegoro University, Jl. Prof. H. Soedarto, S.H., Tembalang, Semarang City, Central Java 50275, Indonesia
| | - Chien-Yeh Hsu
- Department of Information Management, National Taipei University of Nursing and Health Sciences, 365 Ming-Te Road, Peitou District, Taipei 11219, Taiwan
- Master Program in Global Health and Development, College of Public Health, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11031, Taiwan
| | - Hsiao-Hsien Rau
- Joint Commission of Taiwan, 31 Sec. 2 Sanmin Road, Banqiao District, New Taipei City 22069, Taiwan
| | - Adi Lukas Kurniawan
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11031, Taiwan
| | - Jane C-J Chao
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11031, Taiwan.
- Master Program in Global Health and Development, College of Public Health, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11031, Taiwan.
- Nutrition Research Center, Taipei Medical University Hospital, 252 Wu-Hsing Street, Taipei 11031, Taiwan.
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27
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Abstract
Insomnia affects up to 15% of the US population. There are effective pharmacologic and behavioral treatments for insomnia; however, there is often no one-size-fits-all intervention. This article discusses the leading behavioral treatment of insomnia, cognitive behavioral therapy for insomnia, and its ability to be tailored to an individual's specific symptoms. It then discusses pharmacologic options for treating insomnia, and offers some guidance on medication selection to enhance personalized care. In addition, it discusses how the current evidence base can help providers make choices between pharmacologic and behavioral treatments.
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Affiliation(s)
- Elaine Boland
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, 3535 Market Street, Suite 670, Philadelphia, PA 19104, USA; Michael J. Crescenz VA Medical Center, MIRECC, 2nd Floor, B229 3900 Woodland Ave., Philadelphia, PA 19104, USA
| | - Jennifer Goldschmied
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, 3535 Market Street, Suite 670, Philadelphia, PA 19104, USA
| | - Matthew S Kayser
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, 3535 Market Street, Suite 670, Philadelphia, PA 19104, USA
| | - Philip R Gehrman
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, 3535 Market Street, Suite 670, Philadelphia, PA 19104, USA; Michael J. Crescenz VA Medical Center, MIRECC, 2nd Floor, B229 3900 Woodland Ave., Philadelphia, PA 19104, USA.
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28
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Hilmisson H, Sveinsdottir E, Lange N, Magnusdottir S. Insomnia symptoms in primary care: A prospective study focusing on prevalence of undiagnosed co-morbid sleep disordered breathing. Eur J Intern Med 2019; 63:19-26. [PMID: 30686663 DOI: 10.1016/j.ejim.2019.01.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 01/12/2019] [Accepted: 01/21/2019] [Indexed: 01/28/2023]
Abstract
OBJECTIVE To determine prevalence of comorbid undiagnosed sleep disordered breathing (SDB) in chronic insomnia patients, using two complementary methods, one standard and one novel. METHODS Using prospective design, adult patients diagnosed with chronic insomnia, treated with prescription pharmacological agents for >3 months without prior objective sleep evaluation or diagnosis of SDB were invited to participate. All patients recorded their sleep for two consecutive nights using level 3 home-sleep-apnea-test (HSAT) device to derive Respiratory Event Index (REI) for OSA diagnosis. The electrocardiogram-signal (ECG) recorded by the same device was analyzed using FDA cleared medical software, Cardiopulmonary Coupling (CPC) to quantify sleep time and identify sleep-quality and pathology. RESULTS Of 110 chronic insomnia patients who volunteered between May 2017 and June 2018, 88% were women. Prevalence of moderate-severe SDB (REI > 15) was 25% based on REI-scoring. Surrogate markers of moderate-severe SDB detected by the novel method identified prevalence of 33%, with negative predictive value 96%, reclassifying 10 individuals that HSAT diagnosed with mild SDB with more advanced disease state. Agreement between the methods is 88%. CONCLUSION High prevalence and overlap in symptoms between insomnia and SDB warrants objective testing when evaluating sleep complaints before therapy is initiated. Diagnostic caution is even more importantly warranted for female patients presenting insomnia sleep complaints, as SDB may not be initially considered as a biological symptom driver. CPC-analysis can complement standard HSAT or serve as a standalone option to evaluate sleep complaints in individuals presenting insomnia symptoms before therapy is initiated. CLINICAL TRIAL REGISTRY NAME AND NUMBER Pilot study: Co-occurrence of Insomnia and Sleep Disordered Breathing (SDB) symptoms: Prospective study focusing on chronic insomnia patients treated with pharmacological agents. Approved by the Bioethics Committee on March 7th, 2017. VSNb: 17- 047- S1/ ST - GRA - 17029 - PDX - SH http://vsn.is/is/content/17-047.
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Affiliation(s)
- Hugi Hilmisson
- SleepImage, 3513 Brighton Blvd, Suite 530, Denver, CO 80216, USA.
| | | | - Neale Lange
- University of Colorado Health, Denver-Anschutz Medical Campus, Division of Pulmonary Sciences and Critical Care Medicine, Denver, CO 80045, USA
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29
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Dashti HS, Jones SE, Wood AR, Lane JM, van Hees VT, Wang H, Rhodes JA, Song Y, Patel K, Anderson SG, Beaumont RN, Bechtold DA, Bowden J, Cade BE, Garaulet M, Kyle SD, Little MA, Loudon AS, Luik AI, Scheer FAJL, Spiegelhalder K, Tyrrell J, Gottlieb DJ, Tiemeier H, Ray DW, Purcell SM, Frayling TM, Redline S, Lawlor DA, Rutter MK, Weedon MN, Saxena R. Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates. Nat Commun 2019; 10:1100. [PMID: 30846698 PMCID: PMC6405943 DOI: 10.1038/s41467-019-08917-4] [Citation(s) in RCA: 333] [Impact Index Per Article: 66.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 01/31/2019] [Indexed: 12/22/2022] Open
Abstract
Sleep is an essential state of decreased activity and alertness but molecular factors regulating sleep duration remain unknown. Through genome-wide association analysis in 446,118 adults of European ancestry from the UK Biobank, we identify 78 loci for self-reported habitual sleep duration (p < 5 × 10−8; 43 loci at p < 6 × 10−9). Replication is observed for PAX8, VRK2, and FBXL12/UBL5/PIN1 loci in the CHARGE study (n = 47,180; p < 6.3 × 10−4), and 55 signals show sign-concordant effects. The 78 loci further associate with accelerometer-derived sleep duration, daytime inactivity, sleep efficiency and number of sleep bouts in secondary analysis (n = 85,499). Loci are enriched for pathways including striatum and subpallium development, mechanosensory response, dopamine binding, synaptic neurotransmission and plasticity, among others. Genetic correlation indicates shared links with anthropometric, cognitive, metabolic, and psychiatric traits and two-sample Mendelian randomization highlights a bidirectional causal link with schizophrenia. This work provides insights into the genetic basis for inter-individual variation in sleep duration implicating multiple biological pathways. Sleep is essential for homeostasis and insufficient or excessive sleep are associated with adverse outcomes. Here, the authors perform GWAS for self-reported habitual sleep duration in adults, supported by accelerometer-derived measures, and identify genetic correlation with psychiatric and metabolic traits
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Affiliation(s)
- Hassan S Dashti
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA.,Broad Institute, Cambridge, 02142, MA, USA
| | - Samuel E Jones
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX2 5DW, UK
| | - Andrew R Wood
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX2 5DW, UK
| | - Jacqueline M Lane
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA.,Broad Institute, Cambridge, 02142, MA, USA.,Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA
| | | | - Heming Wang
- Broad Institute, Cambridge, 02142, MA, USA.,Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, 02115, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, 02115, MA, USA
| | - Jessica A Rhodes
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA.,Broad Institute, Cambridge, 02142, MA, USA
| | - Yanwei Song
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA.,Northeastern University College of Science, 176 Mugar Life Sciences, 360 Huntington Avenue, Boston, MA, 02015, USA
| | - Krunal Patel
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA.,Northeastern University College of Science, 176 Mugar Life Sciences, 360 Huntington Avenue, Boston, MA, 02015, USA
| | - Simon G Anderson
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK
| | - Robin N Beaumont
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX2 5DW, UK
| | - David A Bechtold
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Jack Bowden
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Brian E Cade
- Broad Institute, Cambridge, 02142, MA, USA.,Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, 02115, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, 02115, MA, USA
| | - Marta Garaulet
- Department of Physiology, University of Murcia, Murcia, 30100, Spain.,IMIB-Arrixaca, Murcia, 30120, Spain
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 7LF, UK
| | - Max A Little
- Department of Mathematics, Aston University, Birmingham, B4 7ET, UK.,Media Lab, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA
| | - Andrew S Loudon
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Annemarie I Luik
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 7LF, UK
| | - Frank A J L Scheer
- Broad Institute, Cambridge, 02142, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, 02115, MA, USA.,Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, 02115, MA, USA
| | - Kai Spiegelhalder
- Clinic for Psychiatry and Psychotherapy, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, 79106, Germany
| | - Jessica Tyrrell
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX2 5DW, UK
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, 02115, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, 02115, MA, USA.,VA Boston Healthcare System, Boston, 02132, MA, USA
| | - Henning Tiemeier
- Deprtment of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, 02115, MA, USA.,Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015, The Netherlands
| | - David W Ray
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Shaun M Purcell
- Department of Psychiatry, Brigham & Women's Hospital, Harvard Medical School, 02115, Boston, MA, USA
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX2 5DW, UK
| | - Susan Redline
- Departments of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 02115, MA, USA
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Martin K Rutter
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.,Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9PL, UK
| | - Michael N Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX2 5DW, UK
| | - Richa Saxena
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA. .,Broad Institute, Cambridge, 02142, MA, USA. .,Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA.
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30
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Crönlein T, Wetter TC, Rupprecht R, Spiegelhalder K. Cognitive behavioral treatment for insomnia is equally effective in insomnia patients with objective short and normal sleep duration. Sleep Med 2018; 66:271-275. [PMID: 30579701 DOI: 10.1016/j.sleep.2018.10.038] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 10/08/2018] [Accepted: 10/17/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND It has been suggested that insomnia patients with short sleep duration and insomnia patients with normal sleep duration may respond differently to cognitive behavioral treatment for insomnia (CBT-I). To evaluate this hypothesis, we retrospectively examined a large sample of patients with chronic insomnia regarding their outcome post-treatment and six months after participating in a two-week standardized inpatient CBT-I program. OBJECTIVES Seventy-two women and 20 men with chronic insomnia received standardized inpatient CBT-I and were examined with three nights of polysomnography (two baseline nights and one post-treatment night directly following the two-week treatment). Follow-up measurements of subjective insomnia symptoms were conducted after six months. The CBT-I outcome was compared between insomnia patients with polysomnographically determined short (< 6 h) and normal (≥ 6 h) sleep duration. RESULTS Concerning subjective outcomes, CBT-I was equally effective in insomnia patients with objective short and normal sleep duration. Secondary analyses of polysomnographic data collected at post-treatment revealed that insomnia patients with short sleep duration showed a better treatment response in comparison to those with normal sleep duration. CONCLUSIONS These results suggest that the distinction in insomnia between objective short and normal sleep duration may be of limited value for treatment decisions regarding CBT-I. However, as the overall picture of the literature on this issue is not conclusive, we conclude that further prospective research is necessary to investigate the clinical validity of phenotyping insomnia patients by objective sleep data.
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Affiliation(s)
- Tatjana Crönlein
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany.
| | - Thomas C Wetter
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
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31
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Khassawneh BY, Bathgate CJ, Tsai SC, Edinger JD. Neurocognitive performance in insomnia disorder: The impact of hyperarousal and short sleep duration. J Sleep Res 2018; 27:e12747. [PMID: 30069961 DOI: 10.1111/jsr.12747] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 07/04/2018] [Accepted: 07/06/2018] [Indexed: 12/27/2022]
Abstract
Given the recent evidence on the association between hyperarousal in insomnia disorder and neurocognitive deficits, we aimed to examine the effect of short sleep duration on neurocognitive reaction time tests in insomnia disorder sufferers. We recruited subjects with insomnia disorder (n = 35, mean age = 40.6 years) who scored ≥29 on a Hyperarousal Scale, and a group of controls (n = 54, mean age = 31.5 years) who had no sleep disorders and scored <26 on the Hyperarousal Scale. Participants completed two in-home polysomnograms and four daytime trials of neurocognitive tests, including simple reaction time, choice reaction time, big circle-little circle, rapid visual information processing, attention switching task, and spatial working memory tests. Total sleep time divided study cohorts into subgroups of short (total sleep time <6 hr) and normal (total sleep time ≥6 hr) sleepers. ANCOVA showed a significant interaction between participant type (insomnia disorder versus controls) and sleep duration (short versus normal) for spatial working memory-latency (p = 0.020) and spatial working memory-errors (p = 0.025). The short-sleeping insomnia disorder group had longer spatial working memory-latencies and more spatial working memory-errors than did normal-sleeping controls. Regardless of sleep duration, those with insomnia disorder had more attentional deficits with longer attention switching task-latency (p = 0.011) and more attention switching task-incorrect trials (p = 0.015) than the control group. Normal-sleepers only had longer attention switching task-latency than short-sleepers (p = 0.004). A phenotype of insomnia disorder with hyperarousal and short sleep duration is associated with daytime cognitive deficits in complex attentional and spatial working memory tasks.
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Affiliation(s)
- Basheer Y Khassawneh
- Jordan University of Science and Technology, Irbid, Jordan.,National Jewish Health, Denver, Colorado
| | | | | | - Jack D Edinger
- National Jewish Health, Denver, Colorado.,Duke University Medical Center, Durham, North Carolina
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Insomnia, Short Sleep Duration, and High Blood Pressure: Recent Evidence and Future Directions for the Prevention and Management of Hypertension. Curr Hypertens Rep 2018; 20:52. [DOI: 10.1007/s11906-018-0850-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Miley-Åkerstedt A, Hetta J, Åkerstedt T. Criteria for self-reported quantitative sleep characteristics of individuals who sought medical help for disturbed sleep - a survey of a representative sample of the Swedish population. Nat Sci Sleep 2018; 10:295-301. [PMID: 30288132 PMCID: PMC6163006 DOI: 10.2147/nss.s165158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND The public often seeks rule-of-thumb criteria for good or poor sleep, with a particular emphasis on sleep duration, sleep latency, and the number of awakenings each night. However, very few criteria are available. AIM The present study sought to identify such criteria. METHODS Whether or not a person has sought medical help for sleep problems was selected as an indicator of poor sleep. The group that was studied constituted a representative sample of the general Swedish population (N=1,128), with a response rate of 72.8%. RESULTS Logistic regression analysis, with an adjustment for age and gender, showed an increased OR for a weekday sleep duration of ≤6 hour, (OR >2, and for <5 hour: OR >6). For weekend sleep, the value was ≤6 hour (OR >2). For awakenings per night, the critical value was ≥2 (OR >2, and for ≥5 awakenings: OR >9), and for a sleep latency the critical value was ≥30 minutes (OR >2, and for ≥45 minutes: OR >6). Adding difficulties falling asleep and early morning awakening (considered qualitative because of the reflected "difficulty"), led to the elimination of all the quantitative variables, except for the number of awakenings. The addition of "negative effects on daytime functioning" and "sleep being a big problem" resulted in the elimination of all the other predictors except age. CONCLUSION It was concluded that weekday sleep ≤6 hour, ≥2 awakenings/night, and a sleep latency of ≥30 minutes, can function as criteria for poor sleep, but that qualitative sleep variables take over the role of quantitative ones, probably because they represent the integration of quantitative indicators of sleep.
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Affiliation(s)
- Anna Miley-Åkerstedt
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden, .,Psychology Clinic, Karolinska Hospital, Stockholm, Sweden
| | - Jerker Hetta
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden,
| | - Torbjörn Åkerstedt
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden, .,Stress Research Institute, Stockholm University, Stockholm, Sweden,
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Thomas RJ, Wood C, Bianchi MT. Cardiopulmonary coupling spectrogram as an ambulatory clinical biomarker of sleep stability and quality in health, sleep apnea, and insomnia. Sleep 2017; 41:4718136. [PMID: 29237080 DOI: 10.1093/sleep/zsx196] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
STUDY OBJECTIVES Ambulatory tracking of sleep and sleep pathology is rapidly increasing with the introduction of wearable devices. The objective of this study was to evaluate a wearable device which used novel computational analysis of the electrocardiogram (ECG), collected over multiple nights, as a method to track the dynamics of sleep quality in health and disease. METHODS This study used the ECG as a primary signal, a wearable device, the M1, and an analysis of cardiopulmonary coupling to estimate sleep quality. The M1 measures trunk movements, the ECG, body position, and snoring vibrations. Data from three groups of patients were analyzed: healthy participants and people with sleep apnea and insomnia, obtained from multiple nights of recording. Analysis focused on summary measures and night-to-night variability, specifically the intraclass coefficient. RESULTS Data were collected from 10 healthy participants, 18 people with positive pressure-treated sleep apnea, and 20 people with insomnia, 128, 65, and 121 nights, respectively. In any participant, all nights were consecutive. High-frequency coupling (HFC), the signal biomarker of stable breathing and stable sleep, showed high intraclass coefficients (ICCs) in healthy participants and people with sleep apnea (0.83, 0.89), but only 0.66 in people with insomnia. The only statistically significant difference between weekday and weekend in healthy subjects was HFC duration: 242.8 ± 53.8 vs. 275.8 ± 57.1 minutes (89 vs. 39 total nights), F(1,126) = 9.86, p = .002. CONCLUSIONS The M1 and similar wearable devices provide new opportunities to measure sleep in dynamic ways not possible before. These measurements can yield new biological insights and aid clinical management.
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Affiliation(s)
- Robert Joseph Thomas
- Department of Medicine, Division of Pulmonary, Critical Care, and Sleep, Beth Israel Deaconess Medical Center, Boston, MA
| | - Christopher Wood
- Department of Medicine, Division of Pulmonary, Critical Care, and Sleep, Beth Israel Deaconess Medical Center, Boston, MA
| | - Matt Travis Bianchi
- Department of Neurology, Division of Sleep Medicine, Massachusetts General Hospital, Boston, MA
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Bathgate CJ, Edinger JD, Krystal AD. Insomnia Patients With Objective Short Sleep Duration Have a Blunted Response to Cognitive Behavioral Therapy for Insomnia. Sleep 2017; 40:2661542. [PMID: 28364452 DOI: 10.1093/sleep/zsw012] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/05/2016] [Indexed: 11/13/2022] Open
Abstract
Study Objectives This study examined whether individuals with insomnia and objective short sleep duration <6 h, a subgroup with greater risks of adverse health outcomes, differ in their response to cognitive-behavioral therapy for insomnia (CBT-I) when compared to individuals with insomnia and normal sleep duration ≥6 h. Methods Secondary analyses of a randomized, clinical trial with 60 adult participants (n = 31 women) from a single academic medical center. Outpatient treatment lasted 8 weeks, with a final follow-up conducted at 6 months. Mixed-effects models controlling for age, sex, CBT-I treatment group assignment, and treatment provider examined sleep parameters gathered via actigraphy, sleep diaries, and an Insomnia Symptom Questionnaire (ISQ) across the treatment and follow-up period. Results Six months post-CBT-I treatment, individuals with insomnia and normal sleep duration ≥6 h fared significantly better on clinical improvement milestones than did those with insomnia and short sleep duration <6 h. Specifically, individuals with insomnia and normal sleep duration had significantly higher insomnia remission (ISQ < 36.5; χ2[1, N = 60] = 44.72, p < .0001), more normative sleep efficiency (SE) on actigraphy (SE > 80%; χ2[1, N = 60] = 21, p < .0001), normal levels of middle of the night wake after sleep onset (MWASO) <31 minutes (χ2[1, N = 60] = 37.85, p < .0001), and a >50% decline in MWASO (χ2[1, N = 60] = 60, p < .0001) compared to individuals with insomnia and short sleep duration. Additionally, those with insomnia and normal sleep duration had more success decreasing their total wake time (TWT) at the 6-month follow-up compared to those with insomnia and short sleep duration (χ2[2, N = 60] = 44.1, p < .0001). Receiver-operating characteristic curve analysis found that using a 6-h cutoff with actigraphy provided a 95.7% sensitivity and 91.9% specificity for determining insomnia remission, with the area under the curve = 0.986. Conclusions Findings suggest that individuals with insomnia and objective short sleep duration <6 h are significantly less responsive to CBT-I than those with insomnia and normal sleep duration ≥6 h. Using an actigraphy TST cutoff of 6 hours to classify sleep duration groups was highly accurate and provided good discriminant value for determining insomnia remission.
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Affiliation(s)
| | - Jack D Edinger
- Department of Medicine, National Jewish Health, Denver, CO.,Department of Psychiatry, Duke University Medical Center, Durham, NC
| | - Andrew D Krystal
- Department of Psychiatry, Duke University Medical Center, Durham, NC
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Association between Insomnia and Metabolic Syndrome in a Chinese Han Population: A Cross-sectional Study. Sci Rep 2017; 7:10893. [PMID: 28883616 PMCID: PMC5589763 DOI: 10.1038/s41598-017-11431-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 07/28/2017] [Indexed: 01/16/2023] Open
Abstract
The association between insomnia and metabolic syndrome remains unclear, especially among different-aged groups. A cross-sectional study with 8017 participants was performed to identify whether insomnia was associated with metabolic syndrome or not. Demographic characteristics, lifestyles and other risk factors were collected using a predesigned, semi-structured, self-administered questionnaire, and physical examinations were conducted by certificated community physicians. Insomnia was not independently associated with metabolic syndrome across all subjects; however, the association between insomnia and metabolic syndrome was statistically significant in the male group (odds ratio (OR): 1.35, 95% confidence interval (CI): 1.02–1.77) and the middle-aged group (OR: 1.40, 95% CI: 1.09–1.79) but not in the female group, the young adult group or the older group. Analyses of the individual components of metabolic syndrome revealed that insomnia was independently associated with raised blood pressure (OR: 1.24, 95% CI: 1.05–1.43) and low high-density lipoprotein cholesterol (HDL-c) (OR: 1.16, 95% CI: 1.01–1.33). Insomnia was also independently associated with the severity of metabolic abnormalities (OR: 1.17, 95% CI: 1.03–1.32). This study demonstrates an independent association between insomnia and metabolic syndrome in males and middle-aged participants, which suggests that treatment for insomnia will contribute to the prevention of metabolic syndrome in males and the middle-aged population.
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37
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Heart rate variability in insomnia patients: A critical review of the literature. Sleep Med Rev 2017; 33:88-100. [DOI: 10.1016/j.smrv.2016.06.004] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2016] [Revised: 06/02/2016] [Accepted: 06/12/2016] [Indexed: 01/05/2023]
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Insomnia heterogeneity: Characteristics to consider for data-driven multivariate subtyping. Sleep Med Rev 2016; 36:71-81. [PMID: 29066053 DOI: 10.1016/j.smrv.2016.10.005] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 08/24/2016] [Accepted: 10/26/2016] [Indexed: 12/20/2022]
Abstract
Meta-analyses and systematic reviews have reported surprisingly few consistent insomnia-characteristics with respect to cognitions, mood, traits, history of life events and family history. One interpretation of this limited consistency is that different subtypes of insomnia exist, each with its own specific multivariate profile of characteristics. Because previously unrecognized subtypes will be differentially represented in individual studies and dilute effect sizes of subtype-dependent characteristics of importance, they are unlikely to be reported consistently in individual studies, let alone in meta-analyses. This review therefore aims to complement meta-analyses by listing previously reported psychometric characteristics of insomnia, irrespective of the degree of consistency over studies. The review clearly indicates that characteristics of insomnia may not be limited to sleep. Reports suggest that at least some individuals with insomnia may deviate from people without sleep complaints with respect to demographics, mental and physical health, childhood trauma, life events, fatigue, sleepiness, hyperarousal, hyperactivity, other sleep disorders, lifetime sleep history, chronotype, depression, anxiety, mood, quality of life, personality, happiness, worry, rumination, self-consciousness, sensitivity, dysfunctional beliefs, self-conscious emotion regulation, coping, nocturnal mentation, wake resting-state mentation, physical activity, food intake, temperature perception and hedonic evaluation. The value of this list of characteristics is that 1) internet has now made it feasible to asses them all in a large sample of people suffering from insomnia, and 2) statistical methods like latent class analysis and community detection can utilize them for a truly bottom-up data-driven search for subtypes. The supplement to this review provides a blueprint of this multivariate approach as implemented in the Sleep registry platform (www.sleepregistry.nl), that allows for bottom-up subtyping and fosters cross-cultural comparison and worldwide collaboration on insomnia subtype finding - and beyond.
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Abstract
PURPOSE OF REVIEW Accumulating data suggest that short sleep plays a role in the development of obesity in general population. Insomnia disorder is characterized by short sleep and may persist for years. The question whether these patients have a higher risk of obesity is of socioeconomic as well as therapeutic interest. RECENT FINDINGS Numerous recently published cross-sectional and longitudinal studies show positive as well as negative associations between short sleep and overweight. Critical reviews note several methodological limitations that weaken the assumption of short sleep duration as the potential cause for obesity. From a sleep medical perspective, a basic methodological problem is the lack of a biological cut-off for short sleep duration. Therefore, recent findings on the relation between emotional stress in short sleepers and incident of obesity opens a more promising perspective on sleep quality as a possible factor. A few studies on patients with insomnia disorder, however, do not show higher BMIs adding data to a research puzzle. SUMMARY The relation of sleep duration and incident obesity so far has insufficient evidence base. Few data on patients with insomnia disorder do not confirm the association. Further research is necessary with focus on sleep quality instead of sleep duration.
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Lunsford-Avery JR, Krystal AD, Kollins SH. Sleep disturbances in adolescents with ADHD: A systematic review and framework for future research. Clin Psychol Rev 2016; 50:159-174. [PMID: 27969004 DOI: 10.1016/j.cpr.2016.10.004] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 09/15/2016] [Accepted: 10/21/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND Biological mechanisms underlying symptom and prognostic heterogeneity in Attention-Deficit/Hyperactivity Disorder (ADHD) are unclear. Sleep impacts neurocognition and daytime functioning and is disrupted in ADHD, yet little is known about sleep in ADHD during adolescence, a period characterized by alterations in sleep, brain structure, and environmental demands as well as diverging ADHD trajectories. METHODS A systematic review identified studies published prior to August 2016 assessing sleep in adolescents (aged 10-19years) with ADHD or participating in population-based studies measuring ADHD symptoms. RESULTS Twenty-five studies were identified (19 subjective report, 6 using actigraphy/polysomnography). Findings are mixed but overall suggest associations between sleep disturbances and 1) ADHD symptoms in the population and 2) poorer clinical, neurocognitive, and functional outcomes among adolescents with ADHD. Common limitations of studies included small or non-representative samples, non-standardized sleep measures, and cross-sectional methodology. CONCLUSIONS Current data on sleep in adolescent ADHD are sparse and limited by methodological concerns. Future studies are critical for clarifying a potential role of sleep in contributing to heterogeneity of ADHD presentation and prognosis. Potential mechanisms by which sleep disturbances during adolescence may contribute to worsened symptom severity and persistence of ADHD into adulthood and an agenda to guide future research are discussed.
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Affiliation(s)
- Jessica R Lunsford-Avery
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, 2608 Erwin Road Suite 300, Durham, NC 27705, United States.
| | - Andrew D Krystal
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, 2608 Erwin Road Suite 300, Durham, NC 27705, United States; Departments of Psychiatry and Neurology, University of California San Francisco School of Medicine, 401 Parnassus Avenue, San Francisco, CA 94143, United States
| | - Scott H Kollins
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, 2608 Erwin Road Suite 300, Durham, NC 27705, United States
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Bathgate CJ, Edinger JD, Wyatt JK, Krystal AD. Objective but Not Subjective Short Sleep Duration Associated with Increased Risk for Hypertension in Individuals with Insomnia. Sleep 2016; 39:1037-45. [PMID: 26951399 PMCID: PMC4835301 DOI: 10.5665/sleep.5748] [Citation(s) in RCA: 115] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 01/25/2016] [Indexed: 01/18/2023] Open
Abstract
STUDY OBJECTIVES To examine the relationship between hypertension prevalence in individuals with insomnia who have short total sleep duration < 6 h or sleep duration ≥ 6 h, using both objective and subjective measures of total sleep duration. METHODS Using a cross-sectional, observational design, 255 adult volunteers (n = 165 women; 64.7%) meeting current diagnostic criteria for insomnia disorder (MAge = 46.2 y, SDAge = 13.7 y) participated in this study at two large university medical centers. Two nights of polysomnography, 2 w of sleep diaries, questionnaires focused on sleep, medical, psychological, and health history, including presence/absence of hypertension were collected. Logistic regressions assessed the odds ratios of hypertension among persons with insomnia with short sleep duration < 6 h compared to persons with insomnia with a sleep duration ≥ 6 h, measured both objectively and subjectively. RESULTS Consistent with previous studies using objective total sleep duration, individuals with insomnia and short sleep duration < 6 h were associated with a 3.59 increased risk of reporting hypertension as a current medical problem as compared to individuals with insomnia with sleep duration ≥ 6 h. Increased risk for hypertension was independent of major confounding factors frequently associated with insomnia or hypertension. No significant risk was observed using subjectively determined total sleep time groups. Receiver operating characteristic curve analysis found that the best balance of sensitivity and specificity using subjective total sleep time was at a 6-h cutoff, but the area under the receiver operating characteristic curve showed low accuracy and did not have good discriminant value. CONCLUSIONS Objectively measured short sleep duration increased the odds of reporting hypertension more than threefold after adjusting for potential confounders; this relationship was not significant for subjectively measured sleep duration. This research supports emerging evidence that insomnia with objective short sleep duration is associated with an increased risk of comorbid hypertension.
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Affiliation(s)
| | - Jack D. Edinger
- National Jewish Health, Denver, CO
- Duke University Medical Center, Durham, NC
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Carroll JE, Esquivel S, Goldberg A, Seeman TE, Effros RB, Dock J, Olmstead R, Breen EC, Irwin MR. Insomnia and Telomere Length in Older Adults. Sleep 2016; 39:559-64. [PMID: 26715231 DOI: 10.5665/sleep.5526] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 11/14/2015] [Indexed: 12/20/2022] Open
Abstract
STUDY OBJECTIVES Insomnia, particularly in later life, may raise the risk for chronic diseases of aging and mortality through its effect on cellular aging. The current study examines the effects of insomnia on telomere length, a measure of cellular aging, and tests whether insomnia interacts with chronological age to increase cellular aging. METHODS A total of 126 males and females (60-88 y) were assessed for insomnia using the Diagnostic and Statistical Manual IV criterion for primary insomnia and the International Classification of Sleep Disorders, Second Edition for general insomnia (45 insomnia cases; 81 controls). Telomere length in peripheral blood mononuclear cells (PBMC) was determined using real-time quantitative polymerase chain reaction (qPCR) methodology. RESULTS In the analysis of covariance model adjusting for body mass index and sex, age (60-69 y versus 70-88 y) and insomnia diagnosis interacted to predict shorter PBMC telomere length (P = 0.04). In the oldest age group (70-88 y), PBMC telomere length was significantly shorter in those with insomnia, mean (standard deviation) M(SD) = 0.59(0.2) compared to controls with no insomnia M(SD) = 0.78(0.4), P = 0.04. In the adults aged 60-69 y, PBMC telomere length was not different between insomnia cases and controls, P = 0.44. CONCLUSIONS Insomnia is associated with shorter PBMC telomere length in adults aged 70-88 y, but not in those younger than 70 y, suggesting that clinically severe sleep disturbances may increase cellular aging, especially in the later years of life. These findings highlight insomnia as a vulnerability factor in later life, with implications for risk for diseases of aging.
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Affiliation(s)
- Judith E Carroll
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA
| | - Stephanie Esquivel
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA
| | - Alyssa Goldberg
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA.,Children's National Medical Center, Department of Pediatrics, Washington, DC
| | - Teresa E Seeman
- University of California, Los Angeles, Department of Medicine, Division of Geriatrics, David Geffen School of Medicine, Los Angeles, CA
| | - Rita B Effros
- University of California, Los Angeles, Department of Pathology and Laboratory Medicine, Los Angeles, CA
| | - Jeffrey Dock
- University of California, Los Angeles, Department of Pathology and Laboratory Medicine, Los Angeles, CA
| | - Richard Olmstead
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA
| | - Elizabeth C Breen
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA
| | - Michael R Irwin
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA
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Morin CM, Drake CL, Harvey AG, Krystal AD, Manber R, Riemann D, Spiegelhalder K. Insomnia disorder. Nat Rev Dis Primers 2015; 1:15026. [PMID: 27189779 DOI: 10.1038/nrdp.2015.26] [Citation(s) in RCA: 342] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Insomnia disorder affects a large proportion of the population on a situational, recurrent or chronic basis and is among the most common complaints in medical practice. The disorder is predominantly characterized by dissatisfaction with sleep duration or quality and difficulties initiating or maintaining sleep, along with substantial distress and impairments of daytime functioning. It can present as the chief complaint or, more often, co-occurs with other medical or psychiatric disorders, such as pain and depression. Persistent insomnia has been linked with adverse long-term health outcomes, including diminished quality of life and physical and psychological morbidity. Despite its high prevalence and burden, the aetiology and pathophysiology of insomnia is poorly understood. In the past decade, important changes in classification and diagnostic paradigms have instigated a move from a purely symptom-based conceptualization to the recognition of insomnia as a disorder in its own right. These changes have been paralleled by key advances in therapy, with generic pharmacological and psychological interventions being increasingly replaced by approaches that have sleep-specific and insomnia-specific therapeutic targets. Psychological and pharmacological therapies effectively reduce the time it takes to fall asleep and the time spent awake after sleep onset, and produce a modest increase in total sleep time; these are outcomes that correlate with improvements in daytime functioning. Despite this progress, several challenges remain, including the need to improve our knowledge of the mechanisms that underlie insomnia and to develop more cost-effective, efficient and accessible therapies.
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Affiliation(s)
- Charles M Morin
- Université Laval, École de psychologie, 2325 rue des Bibliothèques, Québec City, Québec G1V 0A6, Canada
| | - Christopher L Drake
- Henry Ford Hospital Sleep Disorders and Research Center, Detroit, Michigan, USA
| | - Allison G Harvey
- Department of Psychology, University of California, Berkeley, Berkeley, California, USA
| | - Andrew D Krystal
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Rachel Manber
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA
| | - Dieter Riemann
- Department of Clinical Psychology and Psychophysiology/Sleep Medicine, Center for Mental Disorders, University of Freiburg Medical Center, Freiburg, Germany
| | - Kai Spiegelhalder
- Department of Clinical Psychology and Psychophysiology/Sleep Medicine, Center for Mental Disorders, University of Freiburg Medical Center, Freiburg, Germany
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Abstract
Musculoskeletal pain is common and often occurs at multiple sites. Persons with chronic widespread pain (CWP) often report disturbed sleep. Until recently, the relationship between sleep disturbance and CWP has been unclear: does poor sleep increase the risk of developing CWP, do people with CWP develop poor sleep as a consequence of their pain, or is the relationship bi-directional? In this article, we have focused on the relationship between insomnia and CWP. We briefly present descriptive epidemiological data for insomnia and CWP. We then summarise the available evidence which supports the hypothesis that the relationship is bi-directional. Finally, we discuss the clinical management of CWP and insomnia in primary care, where the vast majority of cases of CWP are managed.
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Gilbert KS, Kark SM, Gehrman P, Bogdanova Y. Sleep disturbances, TBI and PTSD: Implications for treatment and recovery. Clin Psychol Rev 2015; 40:195-212. [PMID: 26164549 DOI: 10.1016/j.cpr.2015.05.008] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Revised: 04/27/2015] [Accepted: 05/13/2015] [Indexed: 12/26/2022]
Abstract
Post-Traumatic Stress Disorder (PTSD), traumatic brain injury (TBI), and sleep problems significantly affect recovery and functional status in military personnel and Veterans returning from combat. Despite recent attention, sleep is understudied in the Veteran population. Few treatments and rehabilitation protocols target sleep, although poor sleep remains at clinical levels and continues to adversely impact functioning even after the resolution of PTSD or mild TBI symptoms. Recent developments in non-pharmacologic sleep treatments have proven efficacious as stand-alone interventions and have potential to improve treatment outcomes by augmenting traditional behavioral and cognitive therapies. This review discusses the extensive scope of work in the area of sleep as it relates to TBI and PTSD, including pathophysiology and neurobiology of sleep; existing and emerging treatment options; as well as methodological issues in sleep measurements for TBI and PTSD. Understanding sleep problems and their role in the development and maintenance of PTSD and TBI symptoms may lead to improvement in overall treatment outcomes while offering a non-stigmatizing entry in mental health services and make current treatments more comprehensive by helping to address a broader spectrum of difficulties.
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Affiliation(s)
- Karina Stavitsky Gilbert
- Psychology Research, VA Boston Healthcare System, Boston, MA, United States; Department of Psychiatry, Boston University School of Medicine, Boston, MA, United States
| | - Sarah M Kark
- Psychology Research, VA Boston Healthcare System, Boston, MA, United States
| | - Philip Gehrman
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States; Philadelphia VA Medical Center, Philadelphia, PA, United States
| | - Yelena Bogdanova
- Psychology Research, VA Boston Healthcare System, Boston, MA, United States; Department of Psychiatry, Boston University School of Medicine, Boston, MA, United States.
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Levenson JC, Kay DB, Buysse DJ. The pathophysiology of insomnia. Chest 2015; 147:1179-1192. [PMID: 25846534 PMCID: PMC4388122 DOI: 10.1378/chest.14-1617] [Citation(s) in RCA: 184] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Accepted: 10/28/2014] [Indexed: 01/31/2023] Open
Abstract
Insomnia disorder is characterized by chronic dissatisfaction with sleep quantity or quality that is associated with difficulty falling asleep, frequent nighttime awakenings with difficulty returning to sleep, and/or awakening earlier in the morning than desired. Although progress has been made in our understanding of the nature, etiology, and pathophysiology of insomnia, there is still no universally accepted model. Greater understanding of the pathophysiology of insomnia may provide important information regarding how, and under what conditions, the disorder develops and is maintained as well as potential targets for prevention and treatment. The aims of this report are (1) to summarize current knowledge on the pathophysiology of insomnia and (2) to present a model of the pathophysiology of insomnia that considers evidence from various domains of research. Working within several models of insomnia, evidence for the pathophysiology of the disorder is presented across levels of analysis, from genetic to molecular and cellular mechanisms, neural circuitry, physiologic mechanisms, sleep behavior, and self-report. We discuss the role of hyperarousal as an overarching theme that guides our conceptualization of insomnia. Finally, we propose a model of the pathophysiology of insomnia that integrates the various types of evidence presented.
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Affiliation(s)
- Jessica C Levenson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Daniel B Kay
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
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Sleep and multisystem biological risk: a population-based study. PLoS One 2015; 10:e0118467. [PMID: 25714703 PMCID: PMC4340787 DOI: 10.1371/journal.pone.0118467] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 01/17/2015] [Indexed: 12/29/2022] Open
Abstract
Background Short sleep and poor sleep quality are associated with risk of cardiovascular disease, diabetes, cancer, and mortality. This study examines the contribution of sleep duration and sleep quality on a multisystem biological risk index that is known to be associated with morbidity and mortality. Methods Analyses include a population-based sample from the Midlife Development in the United States survey recruited to the Biomarker substudy. A total of 1,023 participants aged 54.5 years (SD = 11.8), 56% female and 77.6% white, were included in the analyses. A multisystem biological risk index was derived from 22 biomarkers capturing cardiovascular, immune, lipid-metabolic, glucose-metabolic, sympathetic, parasympathetic, and hypothalamic-pituitary-adrenal systems. Self-reported average sleep duration was categorized as short (<5 hrs), below normal (5 to <6.5 hrs), normal (6.5 to <8.5 hrs), and long sleepers (8.5+ hrs). Sleep quality was determined using the Pittsburgh Sleep Quality Index categorized as normal (≤5) and poor quality (>5) sleep. Findings Linear mixed effect models adjusting for age, gender, race, education, income, BMI, and health status were performed. As compared to normal sleepers, multisystem biological risk in both short (B(SE) = .38(.15), p<.01) and long sleepers (B(SE) = .28(.11), p<.01) were elevated. Poor quality sleep alone was associated with elevated multisystem biological risk (B(SE) = .15(.06), p = .01), but was not significant after adjustment for health status. All short sleepers reported poor sleep quality. However in the long sleepers, only those who reported poor sleep quality exhibited elevated multisystem biological risk (B(SE) = .93(.3), p = .002). Conclusions Self-reported poor sleep quality with either short or long sleep duration is associated with dysregulation in physiological set points across regulatory systems, leading to elevated multisystem biological risk. Physicians should inquire about sleep health in the assessment of lifestyle factors related to disease risk, with evidence that healthy sleep is associated with lower multisystem biological risk.
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Nelson AM, Coe CL, Juckett MB, Rumble ME, Rathouz PJ, Hematti P, Costanzo ES. Sleep quality following hematopoietic stem cell transplantation: longitudinal trajectories and biobehavioral correlates. Bone Marrow Transplant 2014; 49:1405-11. [PMID: 25133898 PMCID: PMC4221490 DOI: 10.1038/bmt.2014.179] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 06/04/2014] [Accepted: 06/25/2014] [Indexed: 12/24/2022]
Abstract
The present study examined changes in sleep quality following hematopoietic stem cell transplantation (HSCT) and investigated associations with biobehavioral factors. Individuals undergoing HSCT for hematologic malignancies (N=228) completed measures of sleep quality and psychological symptoms pre-transplant and 1, 3, 6, and 12 months post-transplant. Circulating inflammatory cytokines (IL-6, TNF-α) were also assessed. Sleep quality was poorest at one month post-transplant, improving and remaining relatively stable after 3 months post-transplant. However, approximately half of participants continued to experience significant sleep disturbance at 6 and 12 months post-transplant. Mixed-effects linear regression models indicated that depression and anxiety were associated with poorer sleep quality, while psychological well-being was associated with better sleep. Higher circulating levels of IL-6 were also linked with poorer sleep. Subject-level fixed effects models demonstrated that among individual participants, changes in depression, anxiety, and psychological well-being were associated with corresponding changes in sleep after covarying for the effects of time since transplant. Sleep disturbance was most severe when depression and anxiety were greatest, and psychological well-being was lowest. Findings indicate that sleep disturbance is a persistent problem during the year following HSCT. Patients experiencing depression or anxiety and those with elevated inflammation may be at particular risk for poor sleep.
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Affiliation(s)
- A M Nelson
- Department of Health Outcomes & Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - C L Coe
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - M B Juckett
- 1] Hematology/Oncology Division, Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA [2] Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA
| | - M E Rumble
- 1] Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA [2] Center for Sleep Medicine and Research, University of Wisconsin-Madison, Madison, WI, USA
| | - P J Rathouz
- Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | - P Hematti
- 1] Hematology/Oncology Division, Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA [2] Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA
| | - E S Costanzo
- 1] Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA [2] Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
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Abstract
Short sleep duration has been shown to be associated with elevated body mass index (BMI) in many epidemiological studies. Several pathways could link sleep deprivation to weight gain and obesity, including increased food intake, decreased energy expenditure, and changes in levels of appetite-regulating hormones, such as leptin and ghrelin. A relatively new factor that is contributing to sleep deprivation is the use of multimedia (e.g. television viewing, computer, and internet), which may aggravate sedentary behavior and increase caloric intake. In addition, shift-work, long working hours, and increased time commuting to and from work have also been hypothesized to favor weight gain and obesity-related metabolic disorders, because of their strong link to shorter sleep times. This article reviews the epidemiological, biological, and behavioral evidence linking sleep debt and obesity.
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Affiliation(s)
- Virginie Bayon
- Université Paris Descartes, Sorbonne Paris Cité, APHP, Hôtel Dieu, Centre du Sommeil et de la Vigilance de l'Hôtel Dieu de Paris, Equipe d'accueil VIFASOM EAU07 , Paris , France
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Morin CM, Beaulieu-Bonneau S, Ivers H, Vallières A, Guay B, Savard J, Mérette C. Speed and trajectory of changes of insomnia symptoms during acute treatment with cognitive-behavioral therapy, singly and combined with medication. Sleep Med 2014; 15:701-7. [PMID: 24831251 PMCID: PMC4130158 DOI: 10.1016/j.sleep.2014.02.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 01/28/2014] [Accepted: 02/06/2014] [Indexed: 11/20/2022]
Abstract
OBJECTIVES To examine the speed and trajectory of changes in sleep/wake parameters during short-term treatment of insomnia with cognitive-behavioral therapy (CBT) alone versus CBT combined with medication; and to explore the relationship between early treatment response and post-treatment recovery status. METHODS Participants were 160 adults with insomnia (mean age, 50.3 years; 97 women, 63 men) who underwent a six-week course of CBT, singly or combined with 10 mg zolpidem nightly. The main dependent variables were sleep onset latency, wake after sleep onset, total sleep time, sleep efficiency, and sleep quality, derived from sleep diaries completed daily by patients throughout the course of treatment. RESULTS Participants treated with CBT plus medication exhibited faster sleep improvements as evidenced by the first week of treatment compared to those receiving CBT alone. Optimal sleep improvement was reached on average after only one week for the combined treatment compared to two to three weeks for CBT alone. Early treatment response did not reliably predict post-treatment recovery status. CONCLUSIONS Adding medication to CBT produces faster sleep improvement than CBT alone. However, the magnitude of early treatment response is not predictive of final response after the six-week therapy. Additional research is needed to examine mechanisms involved in this early treatment augmentation effect and its impact on long-term outcome.
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Affiliation(s)
- Charles M Morin
- École de psychologie, Université Laval, Québec, QC, Canada; Centre de recherche de l'Institut universitaire en santé mentale de Québec, Québec, QC, Canada.
| | - Simon Beaulieu-Bonneau
- École de psychologie, Université Laval, Québec, QC, Canada; Centre de recherche de l'Institut universitaire en santé mentale de Québec, Québec, QC, Canada
| | - Hans Ivers
- École de psychologie, Université Laval, Québec, QC, Canada; Centre de recherche de l'Institut universitaire en santé mentale de Québec, Québec, QC, Canada; Centre de recherche du CHU de Québec, Québec, QC, Canada
| | - Annie Vallières
- École de psychologie, Université Laval, Québec, QC, Canada; Centre de recherche de l'Institut universitaire en santé mentale de Québec, Québec, QC, Canada; Centre de recherche du CHU de Québec, Québec, QC, Canada
| | - Bernard Guay
- Centre de recherche de l'Institut universitaire en santé mentale de Québec, Québec, QC, Canada
| | - Josée Savard
- École de psychologie, Université Laval, Québec, QC, Canada; Centre de recherche du CHU de Québec, Québec, QC, Canada
| | - Chantal Mérette
- Centre de recherche de l'Institut universitaire en santé mentale de Québec, Québec, QC, Canada; Faculté de médicine, Université Laval, Québec, QC, Canada
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