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Panelli DM, Miller HE, Simpson SL, Hurtado J, Shu CH, Boncompagni AC, Chueh J, Barwick F, Carvalho B, Sultan P, Aghaeepour N, Druzin ML. Evaluation of Sleep in Pregnant Inpatients Compared With Outpatients. Obstet Gynecol 2024; 143:803-810. [PMID: 38663016 PMCID: PMC11098687 DOI: 10.1097/aog.0000000000005591] [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: 02/06/2024] [Accepted: 03/14/2024] [Indexed: 05/18/2024]
Abstract
OBJECTIVE To evaluate whether antepartum hospitalization was associated with differences in sleep duration or disrupted sleep patterns. METHODS This was a prospective cohort study with enrollment of pregnant people aged 18-55 years with singleton gestations at 16 weeks of gestation or more between 2021 and 2022. Each enrolled antepartum patient was matched by gestational age to outpatients recruited from obstetric clinics at the same institution. Participants responded to the ISI (Insomnia Severity Index) and wore actigraph accelerometer watches for up to 7 days. The primary outcome was total sleep duration per 24 hours. Secondary outcomes included sleep efficiency (time asleep/time in bed), ISI score, clinical insomnia (ISI score higher than 15), short sleep duration (less than 300 minutes/24 hours), wakefulness after sleep onset, number of awakenings, and sleep fragmentation index. Outcomes were evaluated with multivariable generalized estimating equations adjusted for body mass index (BMI), sleep aid use, and insurance type, accounting for gestational age correlations. An interaction term assessed the joint effects of time and inpatient status. RESULTS Overall 58 participants were included: 18 inpatients and 40 outpatients. Inpatients had significantly lower total sleep duration than outpatients (mean 4.4 hours [SD 1.6 hours] inpatient vs 5.2 hours [SD 1.5 hours] outpatient, adjusted β=-1.1, 95% CI, -1.8 to -0.3, P =.01). Awakenings (10.1 inpatient vs 13.8, P =.01) and wakefulness after sleep onset (28.3 inpatient vs 35.5 outpatient, P =.03) were lower among inpatients. There were no differences in the other sleep outcomes, and no interaction was detected for time in the study and inpatient status. Inpatients were more likely to use sleep aids (39.9% vs 12.5%, P =.03). CONCLUSION Hospitalized pregnant patients slept about 1 hour/day less than outpatients. Fewer awakenings and reduced wakefulness after sleep onset among inpatients may reflect increased use of sleep aids in hospitalized patients.
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Affiliation(s)
- Danielle M Panelli
- Division of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, the Division of Sleep Medicine, Department of Psychiatry and Behavioral Sciences, the Division of Obstetric Anesthesia, Department of Anesthesiology, Perioperative, and Pain Medicine, and the Department of Pediatrics, Stanford University, and Stanford University School of Medicine, Palo Alto, and the Department of Biomedical Data Science, Stanford University, Stanford, California
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Sullan MJ, Kinney AR, Stearns-Yoder KA, Reis DJ, Saldyt EG, Forster JE, Cogan CM, Bahraini NH, Brenner LA. A randomized clinical trial for a self-guided sleep intervention following moderate-severe traumatic brain injury: Study protocol. Contemp Clin Trials 2024; 141:107525. [PMID: 38604497 DOI: 10.1016/j.cct.2024.107525] [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: 05/08/2023] [Revised: 11/10/2023] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Individuals with a history of moderate-severe traumatic brain injury (TBI) experience a significantly higher prevalence of insomnia compared to the general population. While individuals living with TBI have been shown to benefit from traditional insomnia interventions (e.g., face-to-face [F2F]), such as Cognitive Behavioral Therapy for Insomnia (CBTI), many barriers exist that limit access to F2F evidence-based treatments. Although computerized CBT-I (CCBT-I) is efficacious in terms of reducing insomnia symptoms, individuals with moderate-severe TBI may require support to engage in such treatment. Here we describe the rationale, design, and methods of a randomized controlled trial (RCT) assessing the efficacy of a guided CCBT-I program for reducing insomnia symptoms for participants with a history of moderate-severe TBI. METHODS This is an RCT of a guided CCBT-I intervention for individuals with a history of moderate-severe TBI and insomnia. The primary outcome is self-reported insomnia severity, pre- to post-intervention. Exploratory outcomes include changes in sleep misperception following CCBT-I and describing the nature of guidance needed by the Study Clinician during the intervention. CONCLUSION This study represents an innovative approach to facilitating broader engagement with an evidence-based online treatment for insomnia among those with a history of moderate-severe TBI. Findings will provide evidence for the level and nature of support needed to implement guided CCBT-I. Should findings be positive, this study would provide support for a strategy by which to deliver guided CCBT-I to individuals with a history of moderate-severe TBI.
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Affiliation(s)
- Molly J Sullan
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Adam R Kinney
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kelly A Stearns-Yoder
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Daniel J Reis
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Emerald G Saldyt
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jeri E Forster
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Chelsea M Cogan
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Nazanin H Bahraini
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Lisa A Brenner
- VA Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Rocky Mountain Regional VA Medical Center (RMRVAMC), Aurora, CO, United States; Department of Physical Medicine & Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
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Riemann D, Dressle RJ, Benz F, Spiegelhalder K, Johann AF, Nissen C, Hertenstein E, Baglioni C, Palagini L, Krone L, Perlis ML, Domschke K, Berger M, Feige B. Chronic insomnia, REM sleep instability and emotional dysregulation: A pathway to anxiety and depression? J Sleep Res 2024:e14252. [PMID: 38811745 DOI: 10.1111/jsr.14252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/21/2024] [Accepted: 05/19/2024] [Indexed: 05/31/2024]
Abstract
The world-wide prevalence of insomnia disorder reaches up to 10% of the adult population. Women are more often afflicted than men, and insomnia disorder is a risk factor for somatic and mental illness, especially depression and anxiety disorders. Persistent hyperarousals at the cognitive, emotional, cortical and/or physiological levels are central to most theories regarding the pathophysiology of insomnia. Of the defining features of insomnia disorder, the discrepancy between minor objective polysomnographic alterations of sleep continuity and substantive subjective impairment in insomnia disorder remains enigmatic. Microstructural alterations, especially in rapid eye movement sleep ("rapid eye movement sleep instability"), might explain this mismatch between subjective and objective findings. As rapid eye movement sleep represents the most highly aroused brain state during sleep, it might be particularly prone to fragmentation in individuals with persistent hyperarousal. In consequence, mentation during rapid eye movement sleep may be toned more as conscious-like wake experience, reflecting pre-sleep concerns. It is suggested that this instability of rapid eye movement sleep is involved in the mismatch between subjective and objective measures of sleep in insomnia disorder. Furthermore, as rapid eye movement sleep has been linked in previous works to emotional processing, rapid eye movement sleep instability could play a central role in the close association between insomnia and depressive and anxiety disorders.
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Affiliation(s)
- Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Raphael J Dressle
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fee Benz
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anna F Johann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Institute of Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christoph Nissen
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Division of Psychiatric Specialties, Department of Psychiatry, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Elisabeth Hertenstein
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Chiara Baglioni
- Human Sciences Department, University of Rome Guglielmo Marconi Rome, Rome, Italy
| | - Laura Palagini
- Department of Experimental and Clinical Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Lukas Krone
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Physiology, Anatomy and Genetics, Sir Jules Thorn Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
- Centre for Neural Circuits and Behaviour, University of Oxford, Oxford, UK
| | - Michael L Perlis
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Center for Mental Health (DZPG) partner site Berlin, Berlin, Germany
| | - Mathias Berger
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bernd Feige
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Miller HE, Simpson SL, Hurtado J, Boncompagni A, Chueh J, Shu CH, Barwick F, Leonard SA, Carvalho B, Sultan P, Aghaeepour N, Druzin M, Panelli DM. Associations between anxiety, sleep, and blood pressure parameters in pregnancy: a prospective pilot cohort study. BMC Pregnancy Childbirth 2024; 24:366. [PMID: 38750438 PMCID: PMC11094949 DOI: 10.1186/s12884-024-06540-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 04/24/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND The potential effect modification of sleep on the relationship between anxiety and elevated blood pressure (BP) in pregnancy is understudied. We evaluated the relationship between anxiety, insomnia, and short sleep duration, as well as any interaction effects between these variables, on BP during pregnancy. METHODS This was a prospective pilot cohort of pregnant people between 23 to 36 weeks' gestation at a single institution between 2021 and 2022. Standardized questionnaires were used to measure clinical insomnia and anxiety. Objective sleep duration was measured using a wrist-worn actigraphy device. Primary outcomes were systolic (SBP), diastolic (DBP), and mean (MAP) non-invasive BP measurements. Separate sequential multivariable linear regression models fit with generalized estimating equations (GEE) were used to separately assess associations between anxiety (independent variable) and each BP parameter (dependent variables), after adjusting for potential confounders (Model 1). Additional analyses were conducted adding insomnia and the interaction between anxiety and insomnia as independent variables (Model 2), and adding short sleep duration and the interaction between anxiety and short sleep duration as independent variables (Model 3), to evaluate any moderating effects on BP parameters. RESULTS Among the 60 participants who completed the study, 15 (25%) screened positive for anxiety, 11 (18%) had subjective insomnia, and 34 (59%) had objective short sleep duration. In Model 1, increased anxiety was not associated with increases in any BP parameters. When subjective insomnia was included in Model 2, increased DBP and MAP was significantly associated with anxiety (DBP: β 6.1, p = 0.01, MAP: β 6.2 p < 0.01). When short sleep was included in Model 3, all BP parameters were significantly associated with anxiety (SBP: β 9.6, p = 0.01, DBP: β 8.1, p < 0.001, and MAP: β 8.8, p < 0.001). No moderating effects were detected between insomnia and anxiety (p interactions: SBP 0.80, DBP 0.60, MAP 0.32) or between short sleep duration and anxiety (p interactions: SBP 0.12, DBP 0.24, MAP 0.13) on BP. CONCLUSIONS When including either subjective insomnia or objective short sleep duration, pregnant people with anxiety had 5.1-9.6 mmHg higher SBP, 6.1-8.1 mmHg higher DBP, and 6.2-8.8 mmHg higher MAP than people without anxiety.
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Affiliation(s)
- Hayley E Miller
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and Obstetrics, Stanford University School of Medicine, 453 Quarry Road, Stanford, Palo Alto, CA, 94304, USA.
| | - Samantha L Simpson
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and Obstetrics, Stanford University School of Medicine, 453 Quarry Road, Stanford, Palo Alto, CA, 94304, USA
| | - Janet Hurtado
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and Obstetrics, Stanford University School of Medicine, 453 Quarry Road, Stanford, Palo Alto, CA, 94304, USA
| | | | - Jane Chueh
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and Obstetrics, Stanford University School of Medicine, 453 Quarry Road, Stanford, Palo Alto, CA, 94304, USA
| | - Chi-Hung Shu
- Department of Anesthesiology, Division of Obstetric Anesthesiology and Maternal Health, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Fiona Barwick
- Department of Psychiatry and Behavioral Sciences, Division of Sleep Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephanie A Leonard
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and Obstetrics, Stanford University School of Medicine, 453 Quarry Road, Stanford, Palo Alto, CA, 94304, USA
| | - Brendan Carvalho
- Department of Anesthesiology, Division of Obstetric Anesthesiology and Maternal Health, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Pervez Sultan
- Department of Anesthesiology, Division of Obstetric Anesthesiology and Maternal Health, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Division of Obstetric Anesthesiology and Maternal Health, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Maurice Druzin
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and Obstetrics, Stanford University School of Medicine, 453 Quarry Road, Stanford, Palo Alto, CA, 94304, USA
| | - Danielle M Panelli
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and Obstetrics, Stanford University School of Medicine, 453 Quarry Road, Stanford, Palo Alto, CA, 94304, USA
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Ellis JM, Estevez Burns RA, Blue Star JA, Patience MA, Brown LN, Ruggieri J, Joiner AV, Little MA, Talcott WG. A social-ecological examination of sleep among Airmen in technical training. MILITARY PSYCHOLOGY 2024; 36:311-322. [PMID: 38661470 PMCID: PMC11057661 DOI: 10.1080/08995605.2023.2177470] [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: 05/06/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023]
Abstract
Inadequate sleep is an on-going risk to the health and mission readiness of U.S. Armed Forces, with estimates of sleep problems high above U.S. civilian populations. Intervening early in the career of active duty Air Force personnel (or "Airmen") with education and the establishment of healthy behaviors may prevent short and long term-detriments of sleep problems. This paper describes the results of a qualitative study seeking to understand the facilitators and barriers to achieving good sleep in a technical training school during the first year of entry into the United States Air Force. Using the social ecological framework and content analysis, three focus groups with Airmen were conducted to explore themes at the individual, social, environmental, and organizational/policy level. Overall, results indicated a cohort motivated to achieve good sleep, and also struggling with a number of barriers across each level. This paper highlights opportunities for population health interventions during technical training aimed at supporting Airmen in developing healthy sleep behaviors early in the course of their career.
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Affiliation(s)
- J. M. Ellis
- Wilford Hall Ambulatory Surgical Center, 59 Medical Wing, Joint Base San Antonio- Lackland, United States Air Force, Arlington, Virginia
| | - R. A. Estevez Burns
- Wilford Hall Ambulatory Surgical Center, 59 Medical Wing, Joint Base San Antonio- Lackland, United States Air Force, Arlington, Virginia
| | - J. A. Blue Star
- Wilford Hall Ambulatory Surgical Center, 59 Medical Wing, Joint Base San Antonio- Lackland, United States Air Force, Arlington, Virginia
| | - M. A. Patience
- Malcolm Grow Medical Clinics and Surgery Center, 316 Medical Group, Joint Base Andrews, United States Air Force, Arlington, Virginia
| | - L. N. Brown
- 412 Medical Group, Edwards Air Force Base, United States Air Force, Arlington, Virginia
| | - J. Ruggieri
- 5 Medical Group, Minot Air Force Base, United States Air Force, Arlington, Virginia
| | - A. V. Joiner
- 71 Medical Group, Vance Air Force Base, United States Air Force, Arlington, Virginia
| | - M. A. Little
- School of Medicine, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | - W. G. Talcott
- Wilford Hall Ambulatory Surgical Center, 59 Medical Wing, Joint Base San Antonio- Lackland, United States Air Force, Arlington, Virginia
- School of Medicine, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
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Wulterkens BM, Hermans LWA, Fonseca P, Janssen HCJP, van Hirtum PV, Overeem S, van Gilst MM. Heart rate response to cortical arousals in patients with isolated obstructive sleep apnea and with comorbid insomnia (COMISA). Sleep Breath 2024; 28:735-744. [PMID: 38062226 DOI: 10.1007/s11325-023-02954-6] [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: 09/08/2023] [Revised: 10/25/2023] [Accepted: 11/20/2023] [Indexed: 05/31/2024]
Abstract
PURPOSE Comorbid insomnia often occurs in patients with obstructive sleep apnea (OSA), referred to as COMISA. Cortical arousals manifest as a common feature in both OSA and insomnia, often accompanied by elevated heart rate (HR). Our objective was to evaluate the heart rate response to nocturnal cortical arousals in patients with COMISA and patients with OSA alone. METHODS We analyzed data from patients with COMISA and from patients with OSA matched for apnea-hypopnea index. Sleep staging and analysis of respiratory events and cortical arousals were performed using the Philips Somnolyzer automatic scoring system. Beat-by-beat HR was analyzed from the onset of the cortical arousal to 30 heartbeats afterwards. HR responses were divided into peak and recovery phases. Cortical arousals were separately evaluated according to subtype (related to respiratory events and spontaneous) and duration (3-6 s, 6-10 s, 10-15 s). RESULTS A total of 72 patients with COMISA and 72 patients with OSA were included in this study. There were no overall group differences in the number of cortical arousals with and without autonomic activation. No significant differences were found for spontaneous cortical arousals. The OSA group had more cortical arousals related to respiratory events (21.0 [14.8-30.0] vs 16.0 [9.0-27.0], p = 0.016). However, the COMISA group had longer cortical arousals (7.2 [6.4-7.8] vs 6.7 [6.2-7.7] s, p = 0.024) and the HR recovery phase was prolonged (52.5 [30.8-82.5] vs 40.0 [21.8-55.5] beats/min, p = 0.017). Both the peak and the recovery phase for longer cortical arousals with a duration of 10-15 s were significantly higher in patients with COMISA compared to patients with OSA (47.0 [27.0-97.5] vs 34.0 [21.0-71.0] beats/min, p = 0.032 and 87.0 [47.0-132.0] vs 71.0 [43.0-103.5] beats/min, p = 0.049, respectively). CONCLUSIONS The HR recovery phase after cortical arousals related to respiratory events is prolonged in patients with COMISA compared to patients with OSA alone. This response could be indicative of the insomnia component in COMISA.
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Affiliation(s)
- Bernice M Wulterkens
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands.
- Philips Research, Eindhoven, The Netherlands.
| | | | - Pedro Fonseca
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands
- Philips Research, Eindhoven, The Netherlands
| | | | | | - Sebastiaan Overeem
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
| | - Merel M van Gilst
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
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7
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Cheung MMS, Lam SP, Chau SWH, Chan NY, Li TM, Wing YK, Chan JWY. Hypersomnolence is associated with non-remission of major depressive disorder. Sleep Med 2024; 119:35-43. [PMID: 38636214 DOI: 10.1016/j.sleep.2024.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/05/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
OBJECTIVE This study aimed to investigate the prevalence, clinical correlates and the relationship between hypersomnolence and clinical outcomes in a cohort of MDD patients. METHODS This is a cross-sectional study of a MDD cohort in an university-affiliated adult psychiatric outpatient clinic. The diagnosis of MDD and severity of depression were ascertained by the clinician with structured clinical interviews. Each participant completed the Epworth Sleepiness Scale (ESS), 1-week sleep diary, and a battery of questionnaires that assessed usual sleep pattern, insomnia, anxiety, depression, fatigue and circadian preference. Hypersomnolence was defined as ESS score ≥14 among those reported ≥7 h of nighttime sleep. Univariate analysis and multiple logistic regression were used to analyze the relationships between the variables. RESULTS Among 252 recruited subjects, 11 % met the criteria of hypersomnolence as defined by a ESS score ≥14 despite ≥7 h of nighttime sleep. Patients with hypersomnolence had greater depression ratings, higher rates of suicidal ideations over the past week, and more likely to meet a diagnosis of atypical depression (p < 0.05) than those without hypersomnolence. Step-wise logistic regression demonstrated that hypersomnolence was an independent risk factor associated with a 3-fold increase in the risk of depression non-remission (adjusted OR 3.13; 95 % CI 1.10-8.95; p = 0.034). CONCLUSION Patients with hypersomnolence despite seemingly adequate sleep represent a subgroup of MDD patients who have a more severe illness profile with higher non-remission rate and suicidality. The findings highlight the importance of addressing both sleep and mood symptoms in the management of MDD.
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Affiliation(s)
- Maxine Ming Sum Cheung
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Siu Ping Lam
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Steven Wai Ho Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Tim Mh Li
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
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McAlpine T, Mullan B, Clarke PJF. Assessing the daily association of sleep hygiene behaviours with sleep: A between and within persons approach. J Behav Med 2024; 47:255-270. [PMID: 37702911 PMCID: PMC10944446 DOI: 10.1007/s10865-023-00448-0] [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: 10/14/2022] [Accepted: 08/19/2023] [Indexed: 09/14/2023]
Abstract
Sleep hygiene behaviours are recommendations given to both clinical and non-clinical populations with a focus on modifying behaviours to maximise sleep outcomes. However, methodological issues present in sleep hygiene research make it difficult to conclusively determine the impact of each behaviour. This study aimed to address these issues by adopting a two-week, repeated measures design which incorporated objective sleep measures and used linear mixed effect modelling to assess the daily association of a wide range of sleep hygiene behaviours on sleep in a non-clinical, university sample. Between-persons effects revealed that bedtime and frequency of daytime napping, alcohol use, and social media use were negatively related to sleep duration while waketime and frequency of too much water consumption were positively related to sleep duration. Within-person effects revealed that later than usual bedtime, earlier than usual waketime, no sunlight exposure, poor ventilation, having an unpleasant conversation before bed were negatively associated with sleep duration whereas using alcohol to deliberately help full asleep was positively related to sleep duration. In contrast, disproportionately more behaviours were not significantly related to either sleep outcome, only some of which could be explained by individual differences, which suggests that more research is needed to determine the conditions under which these behaviours affect sleep, if at all.
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Affiliation(s)
- Thomas McAlpine
- enAble Institute, Curtin University, Bentley, WA, 6102, Australia
- School of Population Health, Curtin University, Bentley, WA, 6102, Australia
| | - Barbara Mullan
- enAble Institute, Curtin University, Bentley, WA, 6102, Australia.
- School of Population Health, Curtin University, Bentley, WA, 6102, Australia.
| | - Patrick J F Clarke
- enAble Institute, Curtin University, Bentley, WA, 6102, Australia
- School of Population Health, Curtin University, Bentley, WA, 6102, Australia
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Maltezos A, Perrault AA, Walsh NA, Phillips EM, Gong K, Tarelli L, Smith D, Cross NE, Pomares FB, Gouin JP, Dang-Vu TT. Methodological approach to sleep state misperception in insomnia disorder: Comparison between multiple nights of actigraphy recordings and a single night of polysomnography recording. Sleep Med 2024; 115:21-29. [PMID: 38325157 DOI: 10.1016/j.sleep.2024.01.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/11/2023] [Accepted: 01/28/2024] [Indexed: 02/09/2024]
Abstract
STUDY OBJECTIVE To provide a comprehensive assessment of sleep state misperception in insomnia disorder (INS) and good sleepers (GS) by comparing recordings performed for one night in-lab (PSG and night review) and during several nights at-home (actigraphy and sleep diaries). METHODS Fifty-seven INS and 29 GS wore an actigraphy device and filled a sleep diary for two weeks at-home. They subsequently completed a PSG recording and filled a night review in-lab. Sleep perception index (subjective/objective × 100) of sleep onset latency (SOL), sleep duration (TST) and wake duration (TST) were computed and compared between methods and groups. RESULTS GS displayed a tendency to overestimate TST and WASO but correctly perceived SOL. The degree of misperception was similar across methods within the GS group. In contrast, INS underestimated their TST and overestimated their SOL both in-lab and at-home, yet the severity of misperception of SOL was larger at-home than in-lab. Finally, INS overestimated WASO only in-lab while correctly perceiving it at-home. While only the degree of TST misperception was stable across methods in INS, misperception of SOL and WASO were dependent on the method used. CONCLUSIONS We found that GS and INS exhibit opposite patterns and severity of sleep misperception. While the degree of misperception in GS was similar across methods, only sleep duration misperception was reliably detected by both in-lab and at-home methods in INS. Our results highlight that, when assessing sleep misperception in insomnia disorder, the environment and method of data collection should be carefully considered.
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Affiliation(s)
- Antonia Maltezos
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada
| | - Aurore A Perrault
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada.
| | - Nyissa A Walsh
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Emma-Maria Phillips
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada
| | - Kirsten Gong
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Lukia Tarelli
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Dylan Smith
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
| | - Nathan E Cross
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada
| | - Florence B Pomares
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada
| | - Jean-Philippe Gouin
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Thien Thanh Dang-Vu
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada.
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10
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Phillips-Beyer A, Kawata AK, Kleinman L, Seboek Kinter D, Flamion B. Meaningful Within-Patient Change in Subjective Total Sleep Time in Patients with Insomnia Disorder: An Analysis of the Sleep Diary Questionnaire Using Data from Open-Label and Phase III Clinical Trials. Pharmaceut Med 2024; 38:133-144. [PMID: 38302765 PMCID: PMC10948516 DOI: 10.1007/s40290-023-00512-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 02/03/2024]
Abstract
BACKGROUND The Sleep Diary Questionnaire (SDQ), a modified version of the Consensus Sleep Diary, is a 17-item sleep diary for assessing subjective total sleep time (sTST: total time spent asleep at night) and other sleep parameters in insomnia trials. sTST is a key parameter of efficacy in insomnia trials; however, the magnitude of improvement in this parameter that people with insomnia disorder consider clinically meaningful is unclear. OBJECTIVE The aim of this study was to estimate meaningful within-patient change for sTST using clinical trial data. METHODS Data were from an open-label trial of zolpidem and pooled data from a phase III placebo-controlled trial of daridorexant. In both trials, adults with moderate to severe insomnia completed the SDQ daily. Meaningful change in sTST was estimated in an anchor-based analysis using outcome measures that were correlated with change in weekly average sTST (Spearman correlation coefficient ≥ 0.30): the Insomnia Severity Index, patient global assessments and impressions of severity and change in daytime and night-time symptoms (PGA-S, PGI-S, PGI-C), and clinician global impressions of severity and change in patients' daytime symptoms (CGI-S, CGI-C). Meaningful within-patient change estimates were 'triangulated' to identify a value where they converged. RESULTS In the open-label trial (N = 114), subjects with a 1-point or 1-step improvement on the anchors had mean increases in sTST of 60.1-83.2 min at day 8 and 55.5-68.2 min at day 15. For subjects with a 2-point or 2-step improvement on the anchors, mean increases in sTST were 79.6-81.4 min at day 8 and 80.1-93.5 min at day 15. In the phase III trial (N = 930), weekly average increases in sTST for subjects with a 1-point or 1-step improvement on the anchors were 39.3-46.7 min at month 1 and 47.3-58.3 min at month 3. For subjects with a 2-point or 2-step improvement on the anchors, mean increases in sTST were 60.7-76.2 min at month 1 and 70.1-87.7 min at month 3. Triangulation of these values supported a meaningful within-patient change threshold starting at 55 min. CONCLUSION Increasing sTST is an important treatment outcome for people with insomnia. An increase in sleep time of approximately 55 min is meaningful to patients. CLINICAL TRIALS REGISTRATION NCT03056053 (17 February 2017) and NCT03545191 (4 June 2018).
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Affiliation(s)
- Andrea Phillips-Beyer
- Innovus Consulting Ltd, 8a Wingbury Courtyard, Business Village, Wingrave, Buckinghamshire, HP22 4LW, UK.
| | | | | | | | - Bruno Flamion
- Clinical Development, Idorsia Pharmaceuticals Ltd, Allschwil, Switzerland
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11
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Wang S, Jülich ST, Lei X. Latent profile of the insomnia severity index: A longitudinal study. Sleep Med 2024; 115:202-209. [PMID: 38368737 DOI: 10.1016/j.sleep.2024.02.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/01/2024] [Accepted: 02/13/2024] [Indexed: 02/20/2024]
Abstract
STUDY OBJECTIVES To identify the distinct classification of insomnia symptoms and to explore their association with sleep problems and depression. METHODS Latent profile analysis was used to examine patterns of insomnia symptoms in two samples. Discovery and replication samples comprised 1043 (Mean age at baseline = 18.95 ± 0.93 years, 62.2% females) and 729 (Mean age at baseline = 18.71 ± 1.02 years, 66.4% females) college students, respectively. Participants completed measures of sleep problems (insomnia symptoms, sleep quality, susceptibility to insomnia, perceived consequences of insomnia, dream recall frequency, and percentage of recurring nightmares) and other psychological variables (rumination and depression). Binary logistic regression was used to analyze the effects of different types of insomnia symptoms at baseline on sleep problems and depression two years later. RESULTS Four classes of insomnia symptoms were identified, and classified as "non-insomnia" (class 1, 45.7%), "mild subjective symptoms but severe subjective feelings" (class 2, 23.9%), "severe subjective symptoms but mild subjective feelings" (class 3, 22.0%), and "high insomnia risk" (class 4, 8.4%), respectively. Compared with the group classified as non-insomnia group, other classifications significantly predicted insomnia two years later, only class 4 significantly predicted depression, and class 3 significantly predicted susceptibility to insomnia, after adjusting gender, insomnia, depression, and susceptibility to insomnia at baseline. CONCLUSIONS The findings highlighted the importance of identifying the patterns of insomnia symptoms, and the need for tailored intervention to improve sleep problems. Additionally, when screening for insomnia symptoms, simplified screening using Insomnia Severity Index (ISI) dimensions or items should be considered.
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Affiliation(s)
- Shuo Wang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, Chongqing, 400715, China
| | - Simon Theodor Jülich
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, Chongqing, 400715, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, Chongqing, 400715, China.
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12
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Hertenstein E, Trinca E, Schneider CL, Fehér KD, Johann AF, Nissen C. Acceptance and Commitment Therapy, Combined with Bedtime Restriction, versus Cognitive Behavioral Therapy for Insomnia: A Randomized Controlled Pilot Trial. PSYCHOTHERAPY AND PSYCHOSOMATICS 2024; 93:114-128. [PMID: 38417415 DOI: 10.1159/000535834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/08/2023] [Indexed: 03/01/2024]
Abstract
INTRODUCTION Cognitive behavioral therapy for insomnia (CBT-I) is the current first-line treatment for insomnia. However, rates of nonresponse and nonremission are high and effects on quality of life are only small to moderate, indicating a need for novel treatment developments. We propose that Acceptance and Commitment Therapy (ACT) addresses core pathophysiological pathways of insomnia. ACT therefore has the potential to improve treatment efficacy when combined with bedtime restriction, the most effective component of CBT-I. The aim of this study was to compare the efficacy of ACT for insomnia combined with bedtime restriction (ACT-I) and CBT-I in improving insomnia severity and sleep-related quality of life. METHODS Sixty-three patients with insomnia disorder (mean age 52 years, 65% female, 35% male) were randomly assigned to receive either ACT-I or CBT-I in a group format. The primary outcomes were insomnia severity (Insomnia Severity Index) and sleep-related quality of life (Glasgow Sleep Impact Index). Outcomes were assessed before randomization (T0), directly after treatment (T1), and at 6-month follow-up (T2). RESULTS The results indicated significant, large pre-to-post improvements in both groups, for both primary and secondary outcomes. Improvements were maintained at the 6-month follow-up. However, there was no significant group by time interactions in linear mixed models, indicating an absence of differential efficacy. On a subjective treatment satisfaction scale, patients in the ACT-I group indicated significantly greater satisfaction with their improvement of several aspects of health including their energy level and work productivity. CONCLUSIONS The results suggest that ACT-I is feasible and effective, but not more effective than CBT-I for the improvement of insomnia severity and sleep-related quality of life. Future studies are needed to assess whether ACT-I is noninferior to CBT-I and to shed light on mechanisms of change in both treatments.
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Affiliation(s)
- Elisabeth Hertenstein
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Ersilia Trinca
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Carlotta L Schneider
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Kristoffer D Fehér
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Anna F Johann
- Clinic for Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christoph Nissen
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Division of Psychiatric Specialties, Department of Psychiatry, Geneva University Hospitals (HUG), Geneva, Switzerland
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13
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Bini C, Hjelm C, Hellström A, Årestedt K, Broström A, Sandlund C. How patients with insomnia interpret and respond to the consensus sleep diary: a cognitive interview study. J Patient Rep Outcomes 2024; 8:19. [PMID: 38376583 PMCID: PMC10879077 DOI: 10.1186/s41687-024-00695-y] [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: 04/26/2023] [Accepted: 02/01/2024] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVE/BACKGROUND The Consensus Sleep Diary (CSD) is widely used to assess subjective sleep. Psychometric evaluations and focus-groups support its validity and clinical usefulness, but further research into its validity is needed. The aim of the study was to evaluate a Swedish translation of the CSD regarding test content and response processes in patients with insomnia. PATIENTS/METHODS In connection with translating the CSD into Swedish, we used cognitive interviewing to evaluate test content and the response process, that is, how people make decisions when responding to survey items. Cognitive interviews were conducted with 13 primary health care patients with insomnia disorder (mean age, 49 years; SD 15.5). Iterative, reparative analysis was used to investigate test content. Descriptive deductive analysis was used to investigate interview transcripts for the themes of the cognitive model: comprehension, retrieval, decision process, and judgement. Together, the themes explain the response process when responding to a patient-reported outcome measure. RESULTS The overall comprehension of the CSD could be affected by poor adherence to the instructions (comprehension). Patients had difficulty with recall if they did not complete the diary immediately in the morning and just before bedtime (retrieval). They could have problems deciding how to respond to certain items because they imbued sleep-related concepts with extra meaning (decision process), and had trouble finding response alternatives nuanced enough to describe their experience of sleep and tiredness (judgement). CONCLUSIONS This study contributes knowledge on how the instrument is perceived and used by care-seeking patients with insomnia. In this context, the CSD exhibits known flaws such as memory lapses if the diary is not filled in directly in the morning. To increase the accuracy of patients' responses, therapists should support patients in reading the instructions.
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Affiliation(s)
- Christina Bini
- Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Alfred Nobels allé 23, Huddinge, SE-141 83, Sweden.
- Academic Primary Health Care Centre, Region Stockholm, Solnavägen 1E, Stockholm, 113 65, Sweden.
| | - Carina Hjelm
- Department of Health, Medicine and Care, Nursing and Reproductive Health, Linköping University, Linköping, 581 83, Sweden
| | - Amanda Hellström
- Faculty of Health and Life Sciences, Linnaeus University, Universitetskajen 1, Kalmar, SE-392 31, Sweden
| | - Kristofer Årestedt
- Faculty of Health and Life Sciences, Linnaeus University, Universitetskajen 1, Kalmar, SE-392 31, Sweden
- Department of Research, Region Kalmar, Lasarettsvägen 8, Kalmar, SE-39185, Sweden
| | - Anders Broström
- Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, 551 11, Sweden
- Department of Clinical Neurophysiology, Linköping University Hospital, Linköping, 581 85, Sweden
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Bergen, Vestlandet, 5020, Norway
| | - Christina Sandlund
- Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Alfred Nobels allé 23, Huddinge, SE-141 83, Sweden
- Academic Primary Health Care Centre, Region Stockholm, Solnavägen 1E, Stockholm, 113 65, Sweden
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14
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Nwanaji-Enwerem U, Sadler LS, O'Connell M, Barry D, Knobf TM, Jeon S, Scheinost D, Yaggi K, Redeker NS. "It's all connected:" A mixed methods study of insomnia, stigma, and discrimination among individuals on medication for opioid use disorder. Sleep Health 2024; 10:31-40. [PMID: 37980246 DOI: 10.1016/j.sleh.2023.09.004] [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: 03/14/2023] [Revised: 09/01/2023] [Accepted: 09/11/2023] [Indexed: 11/20/2023]
Abstract
OBJECTIVES Insomnia is one of the most common sleep disorders among those with opioid use disorder (OUD), including those on medication for OUD. There is a dearth of literature exploring the role of social stressors on sleep outcomes among this group. The purpose of this study was to explore the association between OUD-related stigma and intersectional discrimination with insomnia among individuals on medication for OUD. METHODS Participants were recruited from treatment clinics in the Northeast United States. Using a convergent mixed-methods research design, we explored associations with stigma (The Brief Opioid Stigma Scale), intersectional discrimination (Intersectional Discrimination Index), and insomnia (Insomnia Severity Index) through quantitative survey data and qualitative data from interviews for participant experiences. Data from the quantitative (n = 120) and qualitative (n = 25) components of the study were integrated for interpretation. RESULTS Quantitative analysis indicated weak to moderate positive correlations between intersectional discrimination, and exploratory variables including pain, perceived stress, and psychological distress with insomnia severity. The qualitative analysis generated 4 main themes, which highlighted negative emotions and ruminations as factors that participants connected experiences with stigma and discrimination to poor sleep outcomes. Integration of data identified concordant and discordant findings. CONCLUSIONS Stigma, discrimination, physical symptoms, and psychological distress appear to contribute to poor sleep outcomes among those with OUD. Future research should target maladaptive outcomes of rumination and negative emotions to improve sleep outcomes among those with OUD.
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Affiliation(s)
- Uzoji Nwanaji-Enwerem
- Yale School of Nursing, Orange, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA.
| | - Lois S Sadler
- Yale School of Nursing, Orange, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
| | - Meghan O'Connell
- UCONN School of Nursing, Storrs, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
| | - Declan Barry
- APT Foundation, New Haven, Connecticut, USA; Yale School of Medicine, New Haven, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
| | - Tish M Knobf
- Yale School of Nursing, Orange, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
| | - Sangchoon Jeon
- Yale School of Nursing, Orange, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
| | - Dustin Scheinost
- Yale School of Medicine, New Haven, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
| | - Klar Yaggi
- Yale School of Medicine, New Haven, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
| | - Nancy S Redeker
- UCONN School of Nursing, Storrs, Connecticut, USA; Yale School of Public Health, New Haven, Connecticut, USA
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15
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Spina MA, Bei B, Rajaratnam SW, Krystal A, Edinger JD, Buysse DJ, Thase M, Manber R. Cognitive behavioural therapy for insomnia reduces actigraphy and diary measured sleep discrepancy for individuals with comorbid insomnia and major depressive disorder: A report from the TRIAD study. Sleep Med 2024; 114:137-144. [PMID: 38183804 DOI: 10.1016/j.sleep.2023.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 11/27/2023] [Accepted: 12/17/2023] [Indexed: 01/08/2024]
Abstract
OBJECTIVE/BACKGROUND Discrepancies between sleep diaries and actigraphy occur among individuals with insomnia. Cognitive behavioural therapy for insomnia (CBT-I) improves insomnia but the impact on discrepancy is unclear. This study examined CBT-I's effects on actigraphy-diary discrepancy and explored sleep-related beliefs and attitudes as a mediator. PATIENTS/METHODS Participants were 108 (age M±SD = 47.23 ± 12.42, 67.60 % female) adults with insomnia and major depressive disorder from the Treatment of Insomnia and Depression study. They were randomized to 7 sessions of CBT-I or sham Quasi-Desensitization Therapy for Insomnia (DTI), plus 16 weeks of antidepressants. Two weeks of actigraphy and sleep diary were collected at baseline, mid-treatment, end-treatment. Differences between sleep diary and actigraphy total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE) were calculated. Participants completed Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS) at baseline and mid-treatment. RESULTS At baseline, diary (versus actigraphy) TST was shorter (1.1 ± 1.41h), whilst SOL (21.64 ± 41.25min) and WASO (17.45 ± 61.99min) were longer. Mixed effects models using daily data showed that after adjusting for age and sex, participants in the CBT-I group (versus DTI) showed greater reduction in all actigraphy-diary discrepancy domains (all p-values<.01), reductions evident from mid-treatment. Group differences on actigraphy-diary discrepancy reductions in TST, SOL, and SE (not WASO) were mediated by changes in DBAS from baseline to mid-treatment (all p-values<.05). Changes in discrepancy did not mediate insomnia symptom changes (p-values>.39). CONCLUSIONS CBT-I reduced actigraphy-diary discrepancy in individuals with comorbid insomnia and depression; this reduction was associated with improved sleep-related attitudes, a therapeutic target of CBT-I. CLINICAL TRIAL REGISTRATION TRIAD (Treatment of Insomnia and Depression): Improving Depression Outcome by Adding Insomnia Therapy to Antidepressants. Prospectively registered with Clinical Trials (NCT00767624). SUPPORT (IF ANY) MH078924, MH078961, MH079256.
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Affiliation(s)
- Marie-Antoinette Spina
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Bei Bei
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia.
| | - Shanthakumar W Rajaratnam
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Andrew Krystal
- School of Medicine, University of California, San Francisco, CA, USA
| | - Jack D Edinger
- Department of Medicine, National Jewish Health, Denver, CO, USA
| | | | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel Manber
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
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16
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Moulder Z, Sweetman A, Lovato N, Micic G, Lack L, Scott H. Sleep-wake state discrepancy does not impair the efficacy of cognitive behavioural therapy for insomnia: Findings from a large clinic sample. J Sleep Res 2024:e14142. [PMID: 38246601 DOI: 10.1111/jsr.14142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/08/2023] [Accepted: 12/19/2023] [Indexed: 01/23/2024]
Abstract
The current study determined the extent to which sleep-wake state discrepancy impairs the efficacy of cognitive behavioural therapy for insomnia in a real-world clinical sample. Sleep-wake state discrepancy occurs when there is an inconsistency between a person's subjective and objective sleep, and is a common phenomenon amongst patients with insomnia. Limited information is available on the effectiveness of cognitive behavioural therapy for insomnia in treating patients who experience significant sleep-wake state discrepancy in "real-world" samples. In the present study, all patients with insomnia received cognitive behavioural therapy for insomnia through an outpatient insomnia program (N = 386; mean age = 51.96 years, SD = 15.62; 65.97% [N = 254] female). Prior to treatment, participants completed a polysomnography sleep study and sleep diary, which was used to calculate sleep-wake state discrepancy. At pre-treatment, post-treatment and 3-month follow-up, participants completed the Insomnia Severity Index and other questionnaires, and 1 week of sleep diaries from which sleep-onset latency, wake after sleep onset and other sleep variables were calculated. There were no differences in self-reported sleep-onset latency, wake after sleep onset or Insomnia Severity Index scores at post-treatment or 3-month follow-up between quintiles of sleep-wake state discrepancy. These results indicate that sleep-wake state discrepancy at pre-treatment does not predict treatment response to cognitive behavioural therapy for insomnia. Future research could examine multi-night assessments of sleep-wake state discrepancy to determine whether variations in discrepancy may relate to pre-treatment insomnia severity and cognitive behavioural therapy for insomnia outcomes.
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Affiliation(s)
- Zoe Moulder
- Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Alexander Sweetman
- Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Nicole Lovato
- Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Gorica Micic
- Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Leon Lack
- Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Hannah Scott
- Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
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17
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Berra F, Fasiello E, Zucconi M, Casoni F, De Gennaro L, Ferini-Strambi L, Galbiati A. Neurophysiological Parameters Influencing Sleep-Wake Discrepancy in Insomnia Disorder: A Preliminary Analysis on Alpha Rhythm during Sleep Onset. Brain Sci 2024; 14:97. [PMID: 38275517 PMCID: PMC10813212 DOI: 10.3390/brainsci14010097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
Sleep state misperception (SSM) is a common issue in insomnia disorder (ID), causing a discrepancy between objective and subjective sleep/wake time estimation and increased daytime impairments. In this context, the hyperarousal theory assumes that sustained central nervous system activation contributes to the SSM. This study investigates factors influencing SSM during sleep latency (SL) and total sleep time (TST). Objective polysomnographic sleep variables (the alpha density index, latency-to-sleep stages and the first K-complex, and Rapid Eye Movement (REM) arousal density) and subjective sleep indices, taken from sleep diaries, were analyzed in 16 ID patients. Correlation analyses revealed a positive association between the degree of SL misperception (SLm) and the percentage of epochs that contained a visually scored stereotyped alpha rhythm during objective SL. A regression analysis showed that the REM arousal density and alpha density index significantly predicted TST misperception (TSTm). Furthermore, the degree of SLm was associated with an increased probability of transitioning from stage 1 of non-REM sleep to wakefulness during subjective SL. These findings support the role of hyperarousal in SSM and highlight the importance of alpha activity in unravelling the heterogeneous underpinnings of SSM.
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Affiliation(s)
- Francesca Berra
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Elisabetta Fasiello
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Marco Zucconi
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Francesca Casoni
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy;
- Body and Action Lab, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy
| | - Luigi Ferini-Strambi
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Andrea Galbiati
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
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Pan L, Huang C, Liu Y, Peng J, Lin R, Yu Y, Qin G. Quantile regression to explore association of sleep duration with depression among adults in NHANES and KNHANES. J Affect Disord 2024; 345:244-251. [PMID: 37871729 DOI: 10.1016/j.jad.2023.10.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/08/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Sleep duration has been associated with depression. However, mean regression, such as linear regression or logistic regression, may not capture relationships that occur mainly in the tails of outcome distribution. This study aimed to evaluate the associations between sleep duration and depression along the entire distribution of depression using quantile regression approach. METHODS This study included 55,954 adults aged 18 to 80 years from the National Health and Nutrition Examination Survey (N = 34,156) and the Korea National Health and Nutrition Examination Survey (N = 21,798). The coefficients corresponding to cross-group differences in PHQ-9 scores were estimated when comparing short or long sleep duration with normal sleep duration on deciles of PHQ-9 score distribution. RESULTS At lower quantiles, either short or long sleep duration was not associated with depression. At higher quantiles, the association of both short and long sleep duration with depression became much more pronounced. Compared with normal sleep duration, short and long sleep duration were associated with increases of 1.34 (95 % CI: 1.16, 1.51) and 0.28 (95 % CI: 0.04, 0.52) in PHQ-9 scores at the 50th quantile, while the corresponding increases were 3.27 (95 % CI: 2.83, 3.72) and 1.65 (95 % CI: 0.86, 2.45) at the 90th quantile, respectively. We also found that the magnitude of association between short sleep duration and depression was stronger among females and individuals with chronic diseases. CONCLUSIONS The beneficial effect of sufficient sleep in decreasing depression severity may be more evident among individuals with severe depression. Further studies could explore whether these heterogeneous associations can be generalized to populations with different characteristics.
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Affiliation(s)
- Lulu Pan
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory for Health Technology Assessment, National Commission of Health, Fudan University, Shanghai 200032, China
| | - Chen Huang
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory for Health Technology Assessment, National Commission of Health, Fudan University, Shanghai 200032, China
| | - Yahang Liu
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory for Health Technology Assessment, National Commission of Health, Fudan University, Shanghai 200032, China
| | - Jiahuan Peng
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory for Health Technology Assessment, National Commission of Health, Fudan University, Shanghai 200032, China
| | - Ruilang Lin
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory for Health Technology Assessment, National Commission of Health, Fudan University, Shanghai 200032, China
| | - Yongfu Yu
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory for Health Technology Assessment, National Commission of Health, Fudan University, Shanghai 200032, China.
| | - Guoyou Qin
- Department of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory for Health Technology Assessment, National Commission of Health, Fudan University, Shanghai 200032, China; Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.
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Sarsembayeva D, Schreuder MJ, Hartman CA. Mapping insomnia symptoms and circadian preferences to mental health problems in men and women across the lifespan. Psychiatry Res 2024; 331:115689. [PMID: 38141267 DOI: 10.1016/j.psychres.2023.115689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 12/25/2023]
Abstract
This study identified subgroups in the general population based on combinations in three night-time insomnia symptoms and four dimensions of circadian preferences ("sleep profiles") and investigated the associations between sleep profiles and nine common mental health problems. The data came from the Lifelines cohort add-on study "Comorbid Conditions of ADHD" and included 37,716 individuals (aged 4-91 years) from the Dutch general population who completed a digital survey. Latent profile analysis was used to identify sleep profiles in twelve age-sex subgroups. Linear regression was used to investigate whether sleep profiles differ in mental health problems. Participants were classified into three sleep profiles: "Healthy Larks", who had early circadian preferences and no insomnia symptoms; "Sleepy Owls" with late circadian preferences and nonrestorative sleep; and "Sleepless Doves" with intermediate circadian preferences and severe insomnia symptoms. Compared to "Healthy Larks", all mental health problems were significantly more severe in "Sleepy Owls" and even worse in "Sleepless Doves". These associations were similar in men and women but weakened with age. However, "Sleepy Owls" and "Sleepless Doves" did not differ in heavy alcohol drinking, drug use, and smoking. Our findings strengthened the evidence for the universal role of healthy sleep in mental wellbeing.
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Affiliation(s)
- Dina Sarsembayeva
- Interdisciplinary Centre Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Hanzeplein 1 - Entrance 24 (Triade building), Groningen 9700 RB, the Netherlands.
| | - Marieke J Schreuder
- Department of Psychology and Education Sciences, Quantitative Psychology and Individual Differences, KU Leuven, Belgium
| | - Catharina A Hartman
- Interdisciplinary Centre Psychopathology and Emotion regulation, University Medical Center Groningen, University of Groningen, Hanzeplein 1 - Entrance 24 (Triade building), Groningen 9700 RB, the Netherlands
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20
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Topan R, Vork L, Fitzke H, Pandya S, Keszthelyi D, Cornelis J, Ellis J, Van Oudenhove L, Van Den Houte M, Aziz Q. Poor Subjective Sleep Quality Predicts Symptoms in Irritable Bowel Syndrome Using the Experience Sampling Method. Am J Gastroenterol 2024; 119:155-164. [PMID: 37737676 PMCID: PMC10758350 DOI: 10.14309/ajg.0000000000002510] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 08/29/2023] [Indexed: 09/23/2023]
Abstract
INTRODUCTION Sleep quality may affect symptom experience in irritable bowel syndrome (IBS). Our aim was to investigate the relationship between sleep quality and gastrointestinal (GI) symptoms using actigraphy and the experience sampling method. METHODS Patients with IBS were recruited from a tertiary Neurogastroenterology clinic and the community. GI symptoms and mood were recorded on a smartphone application, 10 times per day, over 7 consecutive days. Subjective sleep quality was recorded every morning to reflect the night before. Objective measures of sleep quality were estimated from wrist-worn actigraphy. Cross-lagged structural equation models were built to assess the directionality of sleep-symptom relationships over time. RESULTS Eighty patients with IBS completed the study (mean age: 37 years [range 20-68], 89% female, 78% community). Approximately 66% had a Pittsburgh Sleep Quality Index score ≥ 8, indicating a clinically significant sleep disturbance. Approximately 82% (95% CI: 72-90) screened positive for a sleep disorder, most commonly insomnia. In cross-lagged analysis, poor subjective sleep quality predicted next-day abdominal pain (0.036 < P < 0.040) and lower GI symptoms (0.030 < P < 0.032), but not vice versa. No significant relationship with GI symptoms was found for any objective sleep measure using actigraphy. DISCUSSION Poor subjective sleep quality was associated with higher next-day lower GI symptom levels, but not vice versa. Objective sleep measures did not predict next-day abdominal symptoms, potentially supporting the conclusion that it is the perception of sleep quality that is most influential. This study may be used to guide future research into the effect of sleep interventions on GI symptoms.
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Affiliation(s)
- Rabia Topan
- Blizard Institute, Wingate Institute of Neurogastroenterology, Centre for Neuroscience, Surgery and Trauma Barts and the London School of Medicine and Dentistry, Queen Mary University, London, UK
| | - Lisa Vork
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, Maastricht University Medical Center, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | | | - Shraya Pandya
- Blizard Institute, Wingate Institute of Neurogastroenterology, Centre for Neuroscience, Surgery and Trauma Barts and the London School of Medicine and Dentistry, Queen Mary University, London, UK
| | - Daniel Keszthelyi
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, Maastricht University Medical Center, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | | | - Jason Ellis
- Northumbria Centre for Sleep Research, Department of Psychology, Northumbria University, UK;
| | - Lukas Van Oudenhove
- Laboratory for Brain-Gut Axis Studies (LaBGAS), Translational Research in Gastrointestinal Disorders (TARGID), Department of Chronic Diseases & Metabolism (CHROMETA), KU Leuven, Leuven, Belgium;
- Leuven Brain Institute, KU Leuven, Leuven, Belgium;
- Cognitive & Affective Neuroscience Lab, Department of Psychological & Brain Sciences, Dartmouth College Hanover, New Hampshire, USA.
| | - Maaike Van Den Houte
- Laboratory for Brain-Gut Axis Studies (LaBGAS), Translational Research in Gastrointestinal Disorders (TARGID), Department of Chronic Diseases & Metabolism (CHROMETA), KU Leuven, Leuven, Belgium;
- Leuven Brain Institute, KU Leuven, Leuven, Belgium;
| | - Qasim Aziz
- Blizard Institute, Wingate Institute of Neurogastroenterology, Centre for Neuroscience, Surgery and Trauma Barts and the London School of Medicine and Dentistry, Queen Mary University, London, UK
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Kawai K, Iwamoto K, Miyata S, Okada I, Ando M, Fujishiro H, Ando M, Noda A, Ozaki N. LPS and its relationship with subjective-objective discrepancies of sleep onset latency in patients with psychiatric disorders. Sci Rep 2023; 13:22637. [PMID: 38114534 PMCID: PMC10730694 DOI: 10.1038/s41598-023-49261-4] [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: 04/18/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023] Open
Abstract
Subjective-objective discrepancies in sleep onset latency (SOL), which is often observed among psychiatric patients, is attributed partly to the definition of sleep onset. Recently, instead of SOL, latency to persistent sleep (LPS), which is defined as the duration from turning out the light to the first consecutive minutes of non-wakefulness, has been utilized in pharmacological studies. This study aimed to determine the non-awake time in LPS that is most consistent with subjective sleep onset among patients with psychiatric disorders. We calculated the length of non-awake time in 30-s segments from lights-out to 0.5-60 min. The root mean square error was then calculated to determine the most appropriate length. The analysis of 149 patients with psychiatric disorders showed that the optimal non-awake time in LPS was 12 min. On the other hands, when comorbid with moderate or severe obstructive sleep apnea (OSA), the optimal length was 19.5 min. This study indicates that 12 min should be the best fit for the LPS non-awake time in patients with psychiatric disorders. When there is comorbidity with OSA, however, a longer duration should be considered. Measuring LPS minimizes discrepancies in SOL and provides important clinical information.
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Affiliation(s)
- Keita Kawai
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan
| | - Kunihiro Iwamoto
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan.
| | - Seiko Miyata
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan
| | - Ippei Okada
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan
| | - Motoo Ando
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan
| | - Hiroshige Fujishiro
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan
| | - Masahiko Ando
- Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Akiko Noda
- Department of Biomedical Sciences, Chubu University Graduate School of Life and Health Sciences, Kasugai, Aichi, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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22
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Kawai K, Iwamoto K, Miyata S, Okada I, Fujishiro H, Noda A, Nakagome K, Ozaki N, Ikeda M. Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study. J Med Internet Res 2023; 25:e51336. [PMID: 38090797 PMCID: PMC10753421 DOI: 10.2196/51336] [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: 07/31/2023] [Revised: 11/02/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Sleep disturbances are core symptoms of psychiatric disorders. Although various sleep measures have been developed to assess sleep patterns and quality of sleep, the concordance of these measures in patients with psychiatric disorders remains relatively elusive. OBJECTIVE This study aims to examine the degree of agreement among 3 sleep recording methods and the consistency between subjective and objective sleep measures, with a specific focus on recently developed devices in a population of individuals with psychiatric disorders. METHODS We analyzed 62 participants for this cross-sectional study, all having data for polysomnography (PSG), Zmachine, Fitbit, and sleep logs. Participants completed questionnaires on their symptoms and estimated sleep duration the morning after the overnight sleep assessment. The interclass correlation coefficients (ICCs) were calculated to evaluate the consistency between sleep parameters obtained from each instrument. Additionally, Bland-Altman plots were used to visually show differences and limits of agreement for sleep parameters measured by PSG, Zmachine, Fitbit, and sleep logs. RESULTS The findings indicated a moderate agreement between PSG and Zmachine data for total sleep time (ICC=0.46; P<.001), wake after sleep onset (ICC=0.39; P=.002), and sleep efficiency (ICC=0.40; P=.006). In contrast, Fitbit demonstrated notable disagreement with PSG (total sleep time: ICC=0.08; wake after sleep onset: ICC=0.18; sleep efficiency: ICC=0.10) and exhibited particularly large discrepancies from the sleep logs (total sleep time: ICC=-0.01; wake after sleep onset: ICC=0.05; sleep efficiency: ICC=-0.02). Furthermore, subjective and objective concordance among PSG, Zmachine, and sleep logs appeared to be influenced by the severity of the depressive symptoms and obstructive sleep apnea, while these associations were not observed between the Fitbit and other sleep instruments. CONCLUSIONS Our study results suggest that Fitbit accuracy is reduced in the presence of comorbid clinical symptoms. Although user-friendly, Fitbit has limitations that should be considered when assessing sleep in patients with psychiatric disorders.
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Affiliation(s)
- Keita Kawai
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kunihiro Iwamoto
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Seiko Miyata
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ippei Okada
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroshige Fujishiro
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akiko Noda
- Department of Biomedical Sciences, Chubu University Graduate School of Life and Health Sciences, Kasugai, Japan
| | - Kazuyuki Nakagome
- Department of Psychiatry, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Jiang T, Yin X, Zhu L, Jia W, Tan Z, Li B, Guo J. Abnormal alterations of regional spontaneous neuronal activity and functional connectivity in insomnia patients with difficulty falling asleep: a resting-state fMRI study. BMC Neurol 2023; 23:430. [PMID: 38049760 PMCID: PMC10694975 DOI: 10.1186/s12883-023-03481-3] [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: 09/07/2023] [Accepted: 11/28/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Insomnia disorder (ID) seriously affects people's daily life. Difficulty falling asleep is the most commonly reported complaint in patients with ID. However, the mechanism of prolonged sleep latency (SL) is still obscure. The aim of our present study was to investigate the relationship between prolonged SL and alterations in spontaneous neural activity and brain functional connectivity (FC) in ID patients using functional magnetic resonance imaging (fMRI). METHODS A total of 52 insomniacs with difficulty falling asleep and 30 matched healthy controls (HCs) underwent resting-state fMRI. The amplitude of low-frequency fluctuation (ALFF) was measured and group differences were compared. The peak areas with significantly different ALFF values were identified as the seed regions to calculate FC to the whole brain. SL was assessed by a wrist actigraphy device in ID patients. The Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Rating Scale (HAMA), and Hyperarousal Scale (HAS) were evaluated in both ID patients and HCs. Finally, correlation analyses were performed between the clinical features and FC/ALFF values. RESULTS ID patients showed higher PSQI, HAMA, HAS scores than HCs. The functional MRI results indicated increased ALFF value in the left insula and right amygdala and decreased ALFF value in the right superior parietal lobe (SPL) in ID patients. The seed-based FC analysis demonstrated increased FC between the left insula and the bilateral precentral gyrus and FC between the right amygdala and the left posterior cingulate cortex (PCC) in patients with ID. Correlation analysis indicated that the increased FC value of the right amygdala-left PCC was positively correlated with SL measured by actigraphy. CONCLUSION This study revealed abnormal regional spontaneous fluctuations in the right amygdala, left insula, and right SPL, as well as increased FC in the left insula-precentral and right amygdala-left PCC. Moreover, the prolonged SL was positively correlated with the abnormal FC in the right amygdala-left PCC in ID patients. The current study showed the correlation between prolonged SL and the abnormal function of emotion-related brain regions in ID patients, which may contribute to a better understanding of the neural mechanisms underlying difficulty falling asleep in patients with ID. CLINICAL TRIAL REGISTRATION http://www.chictr.org.cn ., ChiCTR1800015282. Registered on 20th March 2018.
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Affiliation(s)
- Tongfei Jiang
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Xuejiao Yin
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Liying Zhu
- Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Weilin Jia
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Zhongjian Tan
- Department of Radiology, Dong Zhimen Hospital Beijing University of Chinese Medicine, Beijing, 100010, China
| | - Bin Li
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Jing Guo
- Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China.
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Kwon M, Zhu J, Wilding GE, Dickerson SS, Dean GE. Sleep-wake state discrepancy among cancer survivors with insomnia symptoms. Support Care Cancer 2023; 32:2. [PMID: 38047967 DOI: 10.1007/s00520-023-08177-5] [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: 07/06/2023] [Accepted: 11/09/2023] [Indexed: 12/05/2023]
Abstract
PURPOSE To evaluate the discrepancy and correlation between sleep-wake measures (i.e., time in bed (TIB), total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE%)) reported on sleep diary and measured by actigraphy among cancer survivors with insomnia symptoms; and examine the influences of sociodemographic and clinical variables on these measurement differences. METHODS A heterogenous sample of cancer survivors with insomnia symptoms (n = 120; M age = 63.7 ± 10.1; female = 58.3%) was included. Seven consecutive days of sleep diary and actigraphic data were obtained along with information on demographic, sleep, and mental health symptoms. Bland-Altman plot, Pearson correlation coefficient, concordance correlation coefficient, and mixed linear model approach were used to conduct the analysis. RESULTS Self-reported TIB, SOL, and WASO were longer than measured by actigraphy (TIB: 8.6 min. (95% CI, 3.7, 13.5; p < .001); SOL: 14.8 min. (95% CI, 9.4, 20.2; p < .0001); and WASO: 20.7 min. (95% CI, 9.4, 20.2; p < .0001), respectively); and self-reported TST and SE% were shorter than measured by actigraphy (TST: 6.8 min. (95% CI, -18.7, 5.13); and SE%: 0.7% (95%CI, -3.0, 2.0), respectively), but were not statistically significant. Sex, higher insomnia severity, and poor sleep quality were associated with discrepancy between several sleep-wake measures. CONCLUSION Subjective and objective sleep-wake measures may present discrepant finding among cancer survivors with symptoms of insomnia. Future research is needed to validate appropriate sleep-wake assessment, and better understand factors that influence the discrepancy that exists between measures among this population. CLINICAL TRIAL REGISTRATION Clinical trials identifier: NCT03810365. Date of registration: January 14, 2019.
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Affiliation(s)
- Misol Kwon
- University of Pennsylvania Perelman School of Medicine, Division of Sleep Medicine, Philadelphia, PA, USA.
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA.
- University at Buffalo School of Nursing, The State University of New York, Buffalo, NY, USA.
| | - Jingtao Zhu
- University at Buffalo School of Public Health and Health Professions, Department of Biostatistics, The State University of New York, Buffalo, NY, USA
| | - Gregory E Wilding
- University at Buffalo School of Public Health and Health Professions, Department of Biostatistics, The State University of New York, Buffalo, NY, USA
| | - Suzanne S Dickerson
- University at Buffalo School of Nursing, The State University of New York, Buffalo, NY, USA
| | - Grace E Dean
- University at Buffalo School of Nursing, The State University of New York, Buffalo, NY, USA
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25
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Khalifian CE, Titone M, Wooldridge JS, Knopp K, Seibert G, Monson C, Morland L. The role of veterans' PTSD symptoms in veteran couples' insomnia. FAMILY PROCESS 2023; 62:1725-1739. [PMID: 36347178 DOI: 10.1111/famp.12835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 09/14/2022] [Accepted: 09/25/2022] [Indexed: 06/16/2023]
Abstract
Insomnia contributes to individual mental and physical health and relationship well-being. Veterans' PTSD symptoms are associated with their own insomnia. However, research has not explored whether and how veterans' PTSD symptoms are associated with their partners' insomnia. The present study examined the association between veterans' PTSD symptom severity and veterans' and partners' insomnia. Veterans (n = 192) and their partners (n = 192; total N = 384) completed baseline assessments in a PTSD treatment study for veterans with PTSD and their partners. Path analysis was used to examine the relation between veterans' PTSD symptom severity, as measured by the PTSD symptom checklist-5 (PCL-5) and veterans' and partners' insomnia, as measured by the Insomnia Severity Index (ISI). Veterans' full-scale PCL-5 was positively related to veterans' and partners' insomnia. For veterans, intrusion and arousal symptoms were positively related to their own insomnia severity, while veterans' negative alterations in cognition and mood were associated with partners' insomnia severity. In exploratory analyses, partners' depressive symptoms fully mediated the relation between veterans' negative cognitions and mood and partners' insomnia. PTSD symptoms impact both veterans' and partners' insomnia. However, different PTSD symptom clusters were related to insomnia for each partner, and the link for partners was explained by their own depression symptoms. PTSD, insomnia, and integrated treatments should consider strategies for including partners in treatment to address these interconnected problems.
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Affiliation(s)
- Chandra E Khalifian
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Madison Titone
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Jennalee S Wooldridge
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Kayla Knopp
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Gregory Seibert
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | | | - Leslie Morland
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
- National Center for PTSD -Pacific Islands division, Honolulu, Hawaii, USA
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Nyhuis CC, Fernandez-Mendoza J. Insomnia nosology: a systematic review and critical appraisal of historical diagnostic categories and current phenotypes. J Sleep Res 2023; 32:e13910. [PMID: 37122153 DOI: 10.1111/jsr.13910] [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: 03/27/2023] [Revised: 04/04/2023] [Accepted: 04/05/2023] [Indexed: 05/02/2023]
Abstract
Insomnia nosology has significantly evolved since the Diagnostic and Statistical Manual (DSM)-III-R first distinguished between 'primary' and 'secondary' insomnia. Prior International Classification of Sleep Disorders (ICSD) nosology 'split' diagnostic phenotypes to address insomnia's heterogeneity and the DSM nosology 'lumped' them into primary insomnia, while both systems assumed causality for insomnia secondary to health conditions. In this systematic review, we discuss the historical phenotypes in prior insomnia nosology, present findings for currently proposed insomnia phenotypes based on more robust approaches, and critically appraise the most relevant ones. Electronic databases PsychINFO, PubMED, Web of Science, and references of eligible articles, were accessed to find diagnostic manuals, literature on insomnia phenotypes, including systematic reviews or meta-analysis, and assessments of the reliability or validity of insomnia diagnoses, identifying 184 articles. The data show that previous insomnia diagnoses lacked reliability and validity, leading current DSM-5-TR and ICSD-3 nosology to 'lump' phenotypes into a single diagnosis comorbid with health conditions. However, at least two new, robust insomnia phenotyping approaches were identified. One approach is multidimensional-multimethod and provides evidence for self-reported insomnia with objective short versus normal sleep duration linked to clinically relevant outcomes, while the other is multidimensional and provides evidence for two to five clusters (phenotypes) based on self-reported trait, state, and/or life-history data. Some approaches still need replication to better support whether their findings identify true phenotypes or simply different patterns of symptomatology. Regardless, these phenotyping efforts aim at improving insomnia nosology both as a classification system and as a mechanism to guide treatment.
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Affiliation(s)
- Casandra C Nyhuis
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Julio Fernandez-Mendoza
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
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27
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Dressle RJ, Riemann D. Hyperarousal in insomnia disorder: Current evidence and potential mechanisms. J Sleep Res 2023; 32:e13928. [PMID: 37183177 DOI: 10.1111/jsr.13928] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/25/2023] [Accepted: 04/25/2023] [Indexed: 05/16/2023]
Abstract
Insomnia disorder is among the most frequent mental disorders, making research on its aetiology and pathophysiology particularly important. A unifying element of many aetiological and pathophysiological models is that they support or even centre on the role of some form of hyperarousal. In this theoretical review, we aim to summarise the current evidence on hyperarousal in insomnia. Hyperarousal is discussed as a state of relatively increased arousal in physiological, cortical and cognitive-emotional domains. Regarding physiological hyperarousal, there is no conclusive evidence for the involvement of autonomous variables such as heart rate and heart rate variability, whereas recent evidence points to a pathophysiological role of neuroendocrine variables. In addition, current literature supports a central involvement of cortical arousal, that is, high-frequency electroencephalographic activity. An increasingly important focus in the literature is on the role of other microstructural sleep parameters, especially the existence of microarousals during sleep. Beyond that, a broad range of evidence exists supporting the role of cognitive-emotional hyperarousal in the form of insomnia-related thought and worries, and their concomitant emotional symptoms. Besides being a state marker of insomnia, hyperarousal is considered crucial for the predisposition to insomnia and for the development of comorbid mental disorders. Thus, beyond presenting evidence from cross-sectional studies on markers of hyperarousal in insomnia, hypotheses about the mechanisms of hyperarousal are presented. Nevertheless, longitudinal studies are needed to further elucidate the mechanism of hyperarousal throughout the course of the disorder, and future studies should also focus on similarities and differences in hyperarousal across different diagnostic entities.
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Affiliation(s)
- Raphael J Dressle
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Center for Basics in NeuroModulation (NeuroModulBasics), University of Freiburg, Freiburg, Germany
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28
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Aquino G, Schiel JE. Neuroimaging in insomnia: Review and reconsiderations. J Sleep Res 2023; 32:e14030. [PMID: 37730282 DOI: 10.1111/jsr.14030] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023]
Abstract
Over the last decades, neuroimaging has become a substantial component of insomnia research. While theoretical underpinnings of different studies vary just like methodological choices and the experimental design, it is suggested that major features of insomnia disorder rely on the impaired function, structure, metabolism and connectivity of brain areas involved in sleep generation, emotion regulation, self-processing/-awareness and attentional orientation. However, neuroimaging research on insomnia often suffers from small sample sizes, heterogeneous methodology and a lack of replicability. With respect to these issues, the field needs to address the questions: (1a) how sufficiently large sample sizes can be accumulated within a reasonable economic framework; (1b) how effect sizes in insomnia-related paradigms can be amplified; (2a) how a higher degree of standardisation and transparency in methodology can be provided; and (2b) how an adequate amount of flexibility/complexity in study design can be maintained. On condition that methodological consistency and a certain degree of adaptability are given, pooled data/large cohort analyses can be considered to be one way to answer these questions. Regarding experimental single-centre trials, it might be helpful to focus on insomnia-related transdiagnostic concepts. In doing so, expectable effect sizes (in between-subjects designs) can be increased by: (a) comparing groups that are truly distinct regarding the variables examined in a concept-specific paradigm; and (b) facilitated, intensified and precise elicitation of a target symptom.
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Affiliation(s)
- Giulia Aquino
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine - University of Pisa, Pisa, Italy
| | - Julian E Schiel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
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29
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Vallim JRDS, Lima GS, Pires GN, Tufik S, Demarzo M, D'Almeida V. An Overview of the Methods Used to Measure the Impact of Mindfulness-Based Interventions in Sleep-Related Outcomes. Sleep Sci 2023; 16:e476-e485. [PMID: 38197031 PMCID: PMC10773519 DOI: 10.1055/s-0043-1773789] [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] [Received: 09/21/2022] [Accepted: 05/08/2023] [Indexed: 01/11/2024] Open
Abstract
Introduction Systematic reviews and metanalyses have shown that mindfulness-based interventions can have positive effects on health, such as reducing anxiety, depression, and chronic pain. However, their effect on sleep-related outcomes is not yet well established. Sleep can be assessed subjectively (questionnaires, sleep logs, self-reporting) and/or objectively (actigraphy, polysomnography, biological markers), and outcomes may differ depending on which type of assessment is used. Objective In this study, we present a literature overview on mindfulness and sleep, innovatively presenting and discussing studies that address sleep subjectively and objectively. Methods The search was undertaken using four databases (Pubmed Medline, Scopus, Web of Science, Psychinfo) in September 2019, and repeated in May 2021. Studies were analyzed through a two-step process: (1) reading titles and abstracts, and (2) full text analysis that met the review's eligibility criteria, with the final sample comprising 193 articles. We observed a growth in the number of studies published, particularly since 2005. However, this was mostly due to an increase in studies based on subjective research. There is a moderate to nonexistent agreement between objective and subjective sleep measures, with results of subjective measures having higher variability and uncertainty.We identified 151 articles (78%) using an exclusively subjective sleep evaluation, which can cause a misperception about mindfulness effects on sleep. Conclusion Future studies should place greater emphasis on objective measurements to accurately investigate the effects of mindfulness practices on sleep, although subjective measures also have a role to play in respect of some aspects of this relationship.
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Affiliation(s)
| | - Gabriela Sant'Ana Lima
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
| | - Gabriel Natan Pires
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
- Sleep Institute, São Paulo, Brazil
| | - Sergio Tufik
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
- Sleep Institute, São Paulo, Brazil
| | - Marcelo Demarzo
- Department of Preventive Medicine, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
| | - Vânia D'Almeida
- Department of Psychobiology, Universidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, Brazil
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30
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Matsui K, Chung F, Bjelajac AK, Merikanto I, Korman M, Mota-Rolim S, Cunha AS, Bjorvatn B, Xue P, Benedict C, Morin CM, Espie CA, Landtblom AM, Penzel T, De Gennaro L, Holzinger B, Hrubos-Strøm H, Leger D, Bolstad CJ, Nadorff MR, Plazzi G, Reis C, Chan NY, Wing YK, Yordanova J, Dauvilliers Y, Partinen M, Inoue Y. Associations between changes in habitual sleep duration and lower self-rated health among COVID-19 survivors: findings from a survey across 16 countries/regions. BMC Public Health 2023; 23:2352. [PMID: 38017498 PMCID: PMC10683140 DOI: 10.1186/s12889-023-17258-3] [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: 07/13/2023] [Accepted: 11/18/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Self-rated health (SRH) is widely recognized as a clinically significant predictor of subsequent mortality risk. Although COVID-19 may impair SRH, this relationship has not been extensively examined. The present study aimed to examine the correlation between habitual sleep duration, changes in sleep duration after infection, and SRH in subjects who have experienced SARS-CoV-2 infection. METHODS Participants from 16 countries participated in the International COVID Sleep Study-II (ICOSS-II) online survey in 2021. A total of 10,794 of these participants were included in the analysis, including 1,509 COVID-19 individuals (who reported that they had tested positive for COVID-19). SRH was evaluated using a 0-100 linear visual analog scale. Habitual sleep durations of < 6 h and > 9 h were defined as short and long habitual sleep duration, respectively. Changes in habitual sleep duration after infection of ≤ -2 h and ≥ 1 h were defined as decreased or increased, respectively. RESULTS Participants with COVID-19 had lower SRH scores than non-infected participants, and those with more severe COVID-19 had a tendency towards even lower SRH scores. In a multivariate regression analysis of participants who had experienced COVID-19, both decreased and increased habitual sleep duration after infection were significantly associated with lower SRH after controlling for sleep quality (β = -0.056 and -0.058, respectively, both p < 0.05); however, associations between current short or long habitual sleep duration and SRH were negligible. Multinomial logistic regression analysis showed that decreased habitual sleep duration was significantly related to increased fatigue (odds ratio [OR] = 1.824, p < 0.01), shortness of breath (OR = 1.725, p < 0.05), diarrhea/nausea/vomiting (OR = 2.636, p < 0.01), and hallucinations (OR = 5.091, p < 0.05), while increased habitual sleep duration was significantly related to increased fatigue (OR = 1.900, p < 0.01). CONCLUSIONS Changes in habitual sleep duration following SARS-CoV-2 infection were associated with lower SRH. Decreased or increased habitual sleep duration might have a bidirectional relation with post-COVID-19 symptoms. Further research is needed to better understand the mechanisms underlying these relationships for in order to improve SRH in individuals with COVID-19.
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Affiliation(s)
- Kentaro Matsui
- Department of Clinical Laboratory, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Frances Chung
- Department of Anesthesiology and Pain Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | | | - Ilona Merikanto
- SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Orton Orthopaedics Hospital, Helsinki, Finland
| | - Maria Korman
- Department of Occupational Therapy, Faculty of Health Sciences, Ariel University, Ariel, Israel
| | - Sérgio Mota-Rolim
- Brain Institute, Physiology and Behavior Department, and Onofre Lopes University Hospital, Federal University of Rio Grande do Norte, Natal, Brazil
| | | | - Bjørn Bjorvatn
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway
| | - Pei Xue
- Department of Pharmaceutical Biosciences, Molecular Neuropharmacology, Uppsala University, Uppsala, Sweden
| | - Christian Benedict
- Department of Pharmaceutical Biosciences, Molecular Neuropharmacology, Uppsala University, Uppsala, Sweden
| | - Charles M Morin
- Centre de recherche CERVO/Brain Research Center, École de psychologie, Université Laval, Quebec City Quebec, Canada
| | - Colin A Espie
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Anne-Marie Landtblom
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Thomas Penzel
- Sleep Medicine Center, Charite University Hospital Berlin, Berlin, Germany
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, Roma, Lazio, Italy
- IRCCS Fondazione Santa Lucia, Roma, Italy
| | - Brigitte Holzinger
- Institute for Consciousness and Dream Research; Medical University of Vienna, Postgraduate Sleep Coaching, WienVienna, Austria
| | - Harald Hrubos-Strøm
- Department of Otorhinolaryngology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Damien Leger
- VIFASOM (EA 7331 Vigilance Fatigue Sommeil et Santé Publique), Université Paris Cité, Paris, France
- APHP, Hôtel-Dieu, Centre du Sommeil et de la Vigilance, Paris, France
| | - Courtney J Bolstad
- Department of Psychology, Mississippi State University, Mississippi State, MS, USA
- South Texas Veterans Health Care System, San Antonio, Texas, USA
| | - Michael R Nadorff
- Department of Psychology, Mississippi State University, Mississippi State, MS, USA
| | - Giuseppe Plazzi
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Catia Reis
- Católica Research Centre for Psychological - Family and Social Wellbeing, Universidade Católica Portuguesa, Lisbon, Portugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina de Lisboa, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Juliana Yordanova
- Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Yves Dauvilliers
- Sleep-Wake Disorders Center, Department of Neurology, Gui-de-Chauliac Hospital, Institute for Neurosciences of Montpellier INM, INSERM, University of Montpellier, Montpellier, France
| | - Markku Partinen
- Department of Clinical Neurosciences, University of Helsinki Clinicum Unit, Helsinki, Finland
- Helsinki Sleep Clinic, Terveystalo Healthcare Services, Helsinki, Finland
| | - Yuichi Inoue
- Japan Somnology Center, Institute of Neuropsychiatry, Tokyo, Japan.
- Department of Somnology, Tokyo Medical University, Tokyo, Japan.
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31
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Wang Y, Genon S, Dong D, Zhou F, Li C, Yu D, Yuan K, He Q, Qiu J, Feng T, Chen H, Lei X. Covariance patterns between sleep health domains and distributed intrinsic functional connectivity. Nat Commun 2023; 14:7133. [PMID: 37932259 PMCID: PMC10628193 DOI: 10.1038/s41467-023-42945-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 10/25/2023] [Indexed: 11/08/2023] Open
Abstract
Sleep health is both conceptually and operationally a composite concept containing multiple domains of sleep. In line with this, high dependence and interaction across different domains of sleep health encourage a transition in sleep health research from categorical to dimensional approaches that integrate neuroscience and sleep health. Here, we seek to identify the covariance patterns between multiple sleep health domains and distributed intrinsic functional connectivity by applying a multivariate approach (partial least squares). This multivariate analysis reveals a composite sleep health dimension co-varying with connectivity patterns involving the attentional and thalamic networks and which appear relevant at the neuromolecular level. These findings are further replicated and generalized to several unseen independent datasets. Critically, the identified sleep-health related connectome shows diagnostic potential for insomnia disorder. These results together delineate a potential brain connectome biomarker for sleep health with high potential for clinical translation.
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Affiliation(s)
- Yulin Wang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- Institute for Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Feng Zhou
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Chenyu Li
- Sleep Center, Department of Brain Disease, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China
| | - Qinghua He
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
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32
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Lindsay N, O'Sullivan L, Gibson R, Ladyman C, Tassell-Matamua N. Near-Death Experiences and Sleep Disturbance: An Exploratory Study Using Wrist Actigraphy. J Nerv Ment Dis 2023; 211:856-861. [PMID: 37734157 DOI: 10.1097/nmd.0000000000001710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
ABSTRACT Near-death experiences (NDEs) are nonordinary states of consciousness typically occurring on the brink of death. Sleep changes after NDEs have been described, including shorter sleep duration, longer sleep latency, and more sleep disturbances; however, objective verification is lacking. In this exploratory research, 57 participants took part in a 14-day actigraphy study and were assigned to three groups: those who have had an NDE ( n = 26); those who experienced a near-death event but without NDE ( n = 12); and those who had never come close to death ( n = 19). No significant differences were found between groups for actigraphy data. Paired samples t tests indicated significant differences between subjective and objective measures of sleep onset latency, sleep duration, and sleep efficiency, notably among the NDE group. Findings are indicative of the phenomenon known as sleep state misperception (SSM), which may have clinical implications for the study of NDEs and SSM.
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Affiliation(s)
| | | | | | - Clare Ladyman
- School of Health Sciences, Massey University, New Zealand
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Eigl ES, Hauser T, Topalidis PI, Schabus M. On the Efficacy of a CBT-I-Based Online Program for Sleep Problems: A Randomized Controlled Trial. Clocks Sleep 2023; 5:590-603. [PMID: 37873840 PMCID: PMC10594462 DOI: 10.3390/clockssleep5040039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/02/2023] [Accepted: 10/06/2023] [Indexed: 10/25/2023] Open
Abstract
There is an urgent need for easily accessible treatment options for sleep problems to reduce the current treatment gap in receiving cognitive behavioral therapy for insomnia (CBT-I). Using a randomized controlled trial, we evaluated the efficacy of a CBT-I-based online program on sleep. Fifty-three volunteers (21-71 years; MAge = 44.6 ± 12.5; 27 female) suffering from impaired sleep were randomly allocated either to the experimental group (EG, n = 27) or to an active control group (CG, n = 26). The EG participated in a 6-week CBT-I-based online program, while the CG received psychoeducation and sleep hygiene instructions. Sleep was assessed both objectively via ambulatory polysomnography (PSG) as well as subjectively via questionnaires at three time points (baseline, pre- and post-intervention). A one-month follow-up assessment was performed using questionnaires. The EG showed small but reliable improvements from pre- to post-intervention in PSG-derived wake after sleep onset (from 58.6 min to 42.5 min; p < 0.05) and sleep efficiency (from 86.0% to 89.2%; p < 0.05). Furthermore, subjective sleep quality (assessed via Pittsburgh Sleep Quality Index) improved significantly during intervention (p = 0.011) and follow-up (p = 0.015) in the EG alone. The Insomnia Severity Index decreased from pre- to post-intervention in both groups (EG: p = 0.003, CG: p = 0.008), while it further improved during follow-up (p = 0.035) in the EG alone. We show that a CBT-I-based online program can improve sleep not only subjectively but also objectively and can be a viable alternative when face-to-face interventions are not available.
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Affiliation(s)
- Esther-Sevil Eigl
- Laboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris-Lodron University of Salzburg, 5020 Salzburg, Austria; (E.-S.E.)
| | - Theresa Hauser
- Laboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris-Lodron University of Salzburg, 5020 Salzburg, Austria; (E.-S.E.)
| | - Pavlos I. Topalidis
- Laboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris-Lodron University of Salzburg, 5020 Salzburg, Austria; (E.-S.E.)
| | - Manuel Schabus
- Laboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris-Lodron University of Salzburg, 5020 Salzburg, Austria; (E.-S.E.)
- Centre for Cognitive Neuroscience Salzburg (CCNS), Paris-Lodron University of Salzburg, 5020 Salzburg, Austria
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34
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Wei H, Zhu J, Lei F, Luo L, Zhang Y, Ren R, Li T, Tan L, Tang X. Clinical phenotypes of obstructive sleep apnea: a cluster analysis based on sleep perception and sleep quality. Sleep Breath 2023; 27:1829-1837. [PMID: 36853471 PMCID: PMC10539408 DOI: 10.1007/s11325-023-02786-4] [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: 11/09/2022] [Revised: 01/22/2023] [Accepted: 01/30/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE To determine obstructive sleep apnea (OSA) phenotypes using cluster analysis including variables of sleep perception and sleep quality and to further explore factors correlated with poor sleep quality in different clusters. METHODS This retrospective study included patients with OSA undergoing polysomnography (PSG) between December 2020 and April 2022. Two-step cluster analysis was performed to detect distinct clusters using sleep perception variables including discrepancy in total sleep time (TST), sleep onset latency (SOL), and wakefulness after sleep onset (WASO); objective TST, SOL, and WASO; and sleep quality. One-way analysis of variance or chi-squared tests were used to compare clinical and PSG characteristics between clusters. Binary logistic regression analyses were used to explore factors correlated with poor sleep quality. RESULTS A total of 1118 patients were included (81.6% men) with mean age ± SD 43.3 ± 13.1 years, Epworth sleepiness score, 5.7 ± 4.4, and insomnia severity index 3.0 ± 2.4. Five distinct OSA clusters were identified: cluster 1 (n = 254), underestimated TST; cluster 2 (n = 158), overestimated TST; cluster 3 (n = 169), overestimated SOL; cluster 4 (n = 155), normal sleep discrepancy and poor sleep quality; and cluster 5 (n = 382), normal sleep discrepancy and good sleep quality. Patients in cluster 2 were older, more commonly had hypertension, and had the lowest apnea-hypopnea index and oxygen desaturation index. Age and sleep efficiency were correlated with poor sleep quality in clusters 1, 2, and 5, and also AHI in cluster 2. CONCLUSION Subgroups of patients with OSA have different patterns of sleep perception and quality that may help us to further understand the characteristics of sleep perception in OSA and provide clues for personalized treatment.
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Affiliation(s)
- Huasheng Wei
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China
- Department of Respiratory and Critical Care Medicine, Dazhou Central Hospital, Dazhou, China
| | - Jie Zhu
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China
| | - Fei Lei
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China
| | - Lian Luo
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China
| | - Ye Zhang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China
| | - Rong Ren
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China
| | - Taomei Li
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China
| | - Lu Tan
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China.
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, 28 Dian Xin Nan Jie, Chengdu, 610041, Sichuan, China.
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Dikeos D, Wichniak A, Ktonas PY, Mikoteit T, Crönlein T, Eckert A, Kopřivová J, Ntafouli M, Spiegelhalder K, Hatzinger M, Riemann D, Soldatos C. The potential of biomarkers for diagnosing insomnia: Consensus statement of the WFSBP Task Force on Sleep Disorders. World J Biol Psychiatry 2023; 24:614-642. [PMID: 36880792 DOI: 10.1080/15622975.2023.2171479] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/30/2022] [Accepted: 01/17/2023] [Indexed: 03/08/2023]
Abstract
OBJECTIVES Thus far, the diagnosis of insomnia is based on purely clinical criteria. Although a broad range of altered physiological parameters has been identified in insomniacs, the evidence to establish their diagnostic usefulness is very limited. Purpose of this WFSBP Task Force consensus paper is to systematically evaluate a series of biomarkers as potential diagnostic tools for insomnia. METHODS A newly created grading system was used for assessing the validity of various measurements in establishing the diagnosis of insomnia; these measurements originated from relevant studies selected and reviewed by experts. RESULTS The measurements with the highest diagnostic performance were those derived from psychometric instruments. Biological measurements which emerged as potentially useful diagnostic instruments were polysomnography-derived cyclic alternating pattern, actigraphy, and BDNF levels, followed by heart rate around sleep onset, deficient melatonin rhythm, and certain neuroimaging patterns (mainly for the activity of frontal and pre-frontal cortex, hippocampus and basal ganglia); yet, these findings need replication, as well as establishment of commonly accepted methodology and diagnostic cut-off points. Routine polysomnography, EEG spectral analysis, heart rate variability, skin conductance, thermoregulation, oxygen consumption, HPA axis, and inflammation indices were not shown to be of satisfactory diagnostic value. CONCLUSIONS Apart from psychometric instruments which are confirmed to be the gold standard in diagnosing insomnia, six biomarkers emerge as being potentially useful for this purpose.
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Affiliation(s)
- Dimitris Dikeos
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Adam Wichniak
- Third Department of Psychiatry, Sleep Medicine Center, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Periklis Y Ktonas
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
| | - Thorsten Mikoteit
- Psychiatric Services Solothurn, Faculty of Medicine, University of Basel, Solothurn, Switzerland
| | - Tatjana Crönlein
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Anne Eckert
- Neurobiology Lab for Brain Aging and Mental Health, Transfaculty Research Platform Molecular & Cognitive Neuroscience (MCN), University of Basel, Basel, Switzerland
| | - Jana Kopřivová
- National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Maria Ntafouli
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Martin Hatzinger
- Psychiatric Services Solothurn, Faculty of Medicine, University of Basel, Solothurn, Switzerland
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Constantin Soldatos
- First Department of Psychiatry, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Albinni B, Baker FC, Javitz H, Hasler BP, Franzen PL, Clark DB, de Zambotti M. Morning perception of sleep, stress, and mood, and its relationship with overnight physiological sleep: findings from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study. J Sleep Res 2023; 32:e13886. [PMID: 36941027 PMCID: PMC10509318 DOI: 10.1111/jsr.13886] [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: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/23/2023]
Abstract
This cross-sectional study investigated objective-subjective sleep discrepancies and the physiological basis for morning perceptions of sleep, mood, and readiness, in adolescents. Data collected during a single in-laboratory polysomnographic assessment from 137 healthy adolescents (61 girls; age range: 12-21 years) in the United States National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study were analysed. Upon awakening, participants completed questionnaires assessing sleep quality, mood, and readiness. We evaluated the relationship between overnight polysomnographic, electroencephalographic, sleep autonomic nervous system functioning measures, and next morning self-reported indices. Results showed that older adolescents reported more awakenings, yet they perceived their sleep to be deeper and less restless than younger adolescents. Prediction models including sleep physiology measures (polysomnographic, electroencephalographic, and sleep autonomic nervous system) explained between 3% and 29% of morning sleep perception, mood, and readiness indices. The subjective experience of sleep is a complex phenomenon with multiple components. Distinct physiological sleep processes contribute to the morning perception of sleep and related measures of mood and readiness. More than 70% of the variance (based on a single observation per person) in the perception of sleep, mood, and morning readiness is not explained by overnight sleep-related physiological measures, suggesting that other factors are important for the subjective sleep experience.
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Affiliation(s)
- Benedetta Albinni
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Department of Psychology, University of Campania “Luigi Vanvitelli”
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Harold Javitz
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Brant P. Hasler
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Peter L. Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Duncan B. Clark
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Spina MA, Andrillon T, Quin N, Wiley JF, Rajaratnam SMW, Bei B. Does providing feedback and guidance on sleep perceptions using sleep wearables improve insomnia? Findings from "Novel Insomnia Treatment Experiment": a randomized controlled trial. Sleep 2023; 46:zsad167. [PMID: 37294865 PMCID: PMC10485571 DOI: 10.1093/sleep/zsad167] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 05/08/2023] [Indexed: 06/11/2023] Open
Abstract
STUDY OBJECTIVES Insomnia is a disorder diagnosed based on self-reported sleep complaints. Differences between self-reported and sensor-based sleep parameters (sleep-wake state discrepancy) are common but not well-understood in individuals with insomnia. This two-arm, parallel-group, single-blind, superiority randomized-controlled trial examined whether monitoring sleep using wearable devices and providing support for interpretation of sensor-based sleep data improved insomnia symptoms or impacted sleep-wake state discrepancy. METHODS A total of 113 (age M = 47.53; SD = 14.37, 64.9% female) individuals with significant insomnia symptoms (Insomnia Severity Index(ISI) ≥10) from the community were randomized 1:1 (permuted block randomization) to receive 5 weeks (1) Intervention (n = 57): feedback about sensor-based sleep (Fitbit and EEG headband) with guidance for data interpretation and ongoing monitoring, and (2) Control (n = 56): sleep education and hygiene. Both groups received one individual session and two check-in calls. The ISI (primary outcome), sleep disturbance (SDis), sleep-related impairment (SRI), depression, and anxiety were assessed at baseline and post-intervention. RESULTS In total, 103 (91.2%) participants completed the study. Intention-to-treat multiple regression with multiple imputations showed that after controlling for baseline values, compared to the Control group (n = 51), the Intervention group (n = 52) had lower ISI (p = .011, d = 0.51) and SDis (p = .036, d = 0.42) post-intervention, but differences in SRI, depression, anxiety, and sleep-wake state discrepancy parameters (total sleep time, sleep onset latency, and wake after sleep onset) were not meaningful (P-values >.40). CONCLUSIONS Providing feedback and guidance about sensor-based sleep parameters reduced insomnia severity and sleep disturbance but did not alter sleep-wake state discrepancy in individuals with insomnia more than sleep hygiene and education. The role of sleep wearable devices among individuals with insomnia requires further research. CLINICAL TRIAL REGISTRATION The Novel Insomnia Treatment Experiment (NITE): the effectiveness of incorporating appropriate guidance for sleep wearables in users with insomnia. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378452, Australia New Zealand Clinical Trials Registry: ACTRN12619001636145.
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Affiliation(s)
- Marie-Antoinette Spina
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Thomas Andrillon
- School of Philosophical, Historical, and International Studies, Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, VIC, Australia
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France
| | - Nina Quin
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Joshua F Wiley
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Shantha M W Rajaratnam
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Bei Bei
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
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Åkerstedt T, Schwarz J, Theorell-Haglöw J, Lindberg E. What do women mean by poor sleep? A large population-based sample with polysomnographical indicators, inflammation, fatigue, depression, and anxiety. Sleep Med 2023; 109:219-225. [PMID: 37478658 DOI: 10.1016/j.sleep.2023.06.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/23/2023]
Abstract
Survey studies indicate that reports of disturbed sleep are prevalent and may be prospectively linked to several major diseases. However, it is not clear what self-reported disturbed sleep represents, since the link with objective sleep measures (polysomnography; PSG) seems very weak. The purpose of the present study was to try to investigate what combination of variables (PSG, inflammation, fatigue, anxiety, depression) that would characterize those who complain of disturbed sleep. This has never been done before. Participants were 319 women in a population-based sample, who gave ratings of sleep quality, fatigue, depression, and anxiety, then had their sleep recorded at home, and had blood drawn the following morning for analysis of immune parameters. Correlations and hierarchical multivariable regression analyses were applied to the data. For ratings of difficulties initiating sleep, the associations in the final step were ß = .22, (p < .001) for fatigue, ß = 0.22 (p < .001) for anxiety, and ß = 0.17 (p < .01) for sleep latency, with R2 = 0.14. The rating of repeated awakenings was associated with fatigue (ß = 0.35, p < .001) and C-reactive protein (CRP) (ß = 0.12, p < .05), with R2 = 0.19. The rating of early morning awakenings was associated with fatigue (ß = 0.31, p < .001), total sleep time (TST) (ß = -0.20, p < .01), and CRP (ß = 0.15, p < .05), with R2 = 0.17. Interleukin-6 and Tumour Necrosis Factor were not associated with ratings of sleep problems. The results indicate that subjective fatigue, rather than objective sleep variables, is central in the perception of poor sleep, together with CRP.
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Affiliation(s)
- Torbjörn Åkerstedt
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden.
| | - Johanna Schwarz
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Jenny Theorell-Haglöw
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Sweden
| | - Eva Lindberg
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Sweden
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Ren W, Zhang N, Sun Y, Pan L, Hou Y, Li D, Huang X, Liu K, Sun H, Sun Y, Lv C, Yu Y, Han F. The REM microarousal and REM duration as the potential indicator in paradoxical insomnia. Sleep Med 2023; 109:110-117. [PMID: 37429109 DOI: 10.1016/j.sleep.2023.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/10/2023] [Accepted: 06/10/2023] [Indexed: 07/12/2023]
Abstract
OBJECTIVE Although paradoxical insomnia is a prevalent subtype of chronic insomnia, the etiology of it is unclear. Contrary to complaints of little or no sleep, polysomnography (PSG) findings show that paradoxical insomnia patients have near normal sleep macrostructure. The purpose of this study is to determine the changes of microstructure and explore the etiology of paradoxical insomnia. METHODS The PSG findings of 89 paradoxical insomnia patients were compared with those of 41 gender balanced healthy controls without sleep complaints. All subjects underwent nocturnal PSG recordings. Conventional PSG measures and microarousals were quantified and statistically analyzed. Receiver operating characteristic curve and correlation analysis were used to evaluate the potential of REM sleep microarousals and REM duration as indicators of paradoxical insomnia. RESULTS Compared with the controls, paradoxical insomnia patients had no significant differences in sleep macrostructures. Statistical analysis showed that non-rapid eye movement (NREM) microarousals revealed no significant differences between paradoxical insomnia patients and controls. Noticeably, more spontaneous microarousals appeared in rapid eye movement (REM) stage for paradoxical insomnia patients. Based on receiver operating characteristic curve (ROC), the optimal cutoff value of REM sleep microarousals could predict paradoxical insomnia. Furthermore, a positive correlation between microarousals in REM sleep and the duration of REM sleep was presented in paradoxical insomnia patients. CONCLUSIONS The frequency of REM microarousals and the duration of REM sleep could reflect the real sleep state of paradoxical insomnia patients. That suggested PSG investigation extended to microarousal could be helpful to understand the etiology in paradoxical insomnia.
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Affiliation(s)
- Wenjing Ren
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Na Zhang
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Yunliang Sun
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Lei Pan
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Yanyan Hou
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Dongze Li
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Xiao Huang
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Kuikui Liu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Hongliu Sun
- Department of Pharmaceutical Sciences, Binzhou Medical University, Yantai, China
| | - Yeying Sun
- Department of Pharmaceutical Sciences, Binzhou Medical University, Yantai, China
| | - Changjun Lv
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Yan Yu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China.
| | - Fang Han
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China.
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Russell DI, Reynolds AC, Appleton SL, Adams RJ, Correia H, Bowman JA, Gill TK, Metse AP. Use of Insomnia Treatments and Discussions About Sleep with Health Professionals Among Australian Adults with Mental Health Conditions. Nat Sci Sleep 2023; 15:623-637. [PMID: 37577358 PMCID: PMC10417743 DOI: 10.2147/nss.s412468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/20/2023] [Indexed: 08/15/2023] Open
Abstract
Background Insomnia is a common issue among individuals with mental health conditions, yet the frequency of insomnia treatment remains unclear. The purpose of this study was to investigate the prevalence of probable insomnia, discussions regarding sleep with health professionals, and the utilisation of commonly delivered insomnia treatments in Australian adults diagnosed with mental health conditions. Methods This study represents a secondary analysis of data collected through a cross-sectional, national online survey conducted in 2019. A subset included participants (n = 624, age 18-85y) who self-reported a diagnosis of depression, bipolar disorder, anxiety, panic disorder, or post-traumatic stress disorder. Participants were classed as having probable insomnia based on self-reported symptoms and a minimum availability of 7.5 hours in bed. Results Among individuals with probable insomnia (n = 296, 47.4%), 64.5% (n = 191) reported discussing sleep with one or more health professionals, predominantly with general practitioners (n = 160, 83.8%). However, 35.4% (n = 105) of people with probable insomnia had not discussed their sleep with a health professional. Additionally, 35.1% (n = 104) used prescribed medication for sleep, while only 15.9% (n = 47) had used the first line recommended treatment of cognitive-behavioral therapy for insomnia in the last 12 months. Conclusion Although most participants who met the criteria for probable insomnia had engaged in discussions about sleep with health professionals, utilisation of first line recommended treatment was low. Interventions that promote routine assessment of sleep and first line treatment for insomnia by health professionals would likely benefit people with mental health conditions.
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Affiliation(s)
- Daniel I Russell
- College of Science, Health, Engineering and Education (SHEE), Murdoch University, Murdoch, Western Australia, 6150, Australia
| | - Amy C Reynolds
- Flinders Health and Medical Research Institute (Sleep Health), College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Sarah L Appleton
- Flinders Health and Medical Research Institute (Sleep Health), College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- The Freemasons Centre for Male Health & Wellbeing, The University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Robert J Adams
- Flinders Health and Medical Research Institute (Sleep Health), College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- The Freemasons Centre for Male Health & Wellbeing, The University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Helen Correia
- Psychological Sciences, Australian College of Applied Professions Perth, Northbridge, Western Australia, 6003, Australia
| | - Jenny A Bowman
- School of Psychological Sciences, University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW, 2305, Australia
| | - Tiffany K Gill
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Alexandra P Metse
- School of Psychological Sciences, University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW, 2305, Australia
- School of Health, University of the Sunshine Coast, Sippy Downs, Queensland, 4556, Australia
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Cox RC, Brown SL, Chalmers BN, Scott LN. Examining sleep disturbance components as near-term predictors of suicide ideation in daily life. Psychiatry Res 2023; 326:115323. [PMID: 37392522 PMCID: PMC10527974 DOI: 10.1016/j.psychres.2023.115323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/20/2023] [Accepted: 06/23/2023] [Indexed: 07/03/2023]
Abstract
Suicide ideation emerges and fluctuates over short timeframes (minutes, hours, days); however, near-term predictors of such fluctuations have not been well-elucidated. Sleep disturbance is a distal suicide risk factor, but less work has examined whether daily sleep disturbance predicts near-term changes in suicide ideation. We examined subjective sleep disturbance components as predictors of passive and active suicide ideation at the within-person (i.e., day-to-day changes within individuals relative to their own mean) and between-persons (individual differences relative to the sample mean) levels. A transdiagnostic sample of 102 at-risk young adults ages 18-35 completed a 21-day ecological momentary assessment protocol, during which they reported on sleep and passive and active suicide ideation. At the within-persons level, nightmares, sleep quality, and wake after sleep onset predicted passive suicide ideation, and sleep quality and wake after sleep onset predicted active suicide ideation. At the between-persons level, nightmares, sleep onset latency, and sleep quality were associated with passive suicide ideation, and sleep onset latency was associated with active suicide ideation. In contrast, suicide ideation did not predict subsequent sleep at the within-person level. Specific sleep disturbance components are near-term predictors of intraindividual increases in suicide ideation and may hold promise for suicide prevention and intervention.
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Affiliation(s)
- Rebecca C Cox
- Department of Integrative Physiology, University of Colorado Boulder, USA; Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Sarah L Brown
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Brittany N Chalmers
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Lori N Scott
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA.
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Tassone LM, Moyano MD, Laiño F, Brusco LI, Ramele RE, Forcato C. One-week sleep hygiene education improves episodic memory in young but not in older adults during social isolation. Front Psychol 2023; 14:1155776. [PMID: 37599745 PMCID: PMC10433204 DOI: 10.3389/fpsyg.2023.1155776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 07/11/2023] [Indexed: 08/22/2023] Open
Abstract
Memory formation is a dynamic process that comprises different phases, such as encoding, consolidation and retrieval. It could be altered by several factors such as sleep quality, anxiety, and depression levels. In the last years, due to COVID-19 pandemic, there was a reduction in sleep quality, an increase in anxiety and depressive symptoms as well as an impairment in emotional episodic memory encoding, especially in young adults. Taking into account the profound impact of sleep quality in daily life a series of rules has been developed that are conducive to consistently achieving good sleep, known as sleep hygiene education. These interventions have been shown to be effective in improving sleep quality and duration and reducing depressive and anxiety symptoms. Here we propose the implementation of a brief sleep hygiene education to improve sleep quality and memory performance as well as to diminish anxiety and depressive scores. For that, participants were divided into two groups: Sleep hygiene education and control group. After that, they were evaluated for anxiety, depression, and sleep quality levels and trained on an episodic memory task. They were tested immediately after (short-term test) and also 1 week later (long-term test). This procedure was also performed before the sleep hygiene education and was taken as baseline level. We found that episodic memory performance for young adults improved for the SHE group after intervention but not for older adults, and no improvements in emotional variables were observed. Despite not observing a significant effect of the intervention for young and older adults regarding the sleep quality scores, we consider that there may be an improvement in sleep physiology that is not subjectively perceived, but would also have a positive impact on memory processes. These results show that even a sleep hygiene education of 1 week could improve cognition in young adults when acute memory and sleep impairment occurs, in this case, due to the isolation by COVID-19 pandemic. However, we suggest that longer interventions should be implemented for older adults who already experience a natural decline in cognitive processes such as episodic memory formation.
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Affiliation(s)
- Leonela Magali Tassone
- Laboratorio de Sueño y Memoria, Departamento de Ciencias de la Vida, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
| | - Malen Daiana Moyano
- Laboratorio de Sueño y Memoria, Departamento de Ciencias de la Vida, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
| | - Fernando Laiño
- Fundación Instituto Superior de Ciencias de la Salud, Buenos Aires, Argentina
| | - Luis Ignacio Brusco
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
- CENECON, Centro de Neuropsiquiatría y Neurología de la Conducta (CENECON), Buenos Aires, Argentina
| | - Rodrigo Ezequiel Ramele
- Centro de Inteligencia Computacional, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina
| | - Cecilia Forcato
- Laboratorio de Sueño y Memoria, Departamento de Ciencias de la Vida, Instituto Tecnológico de Buenos Aires (ITBA), Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
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Di Marco T, Scammell TE, Meinel M, Seboek Kinter D, Datta AN, Zammit G, Dauvilliers Y. Number, Duration, and Distribution of Wake Bouts in Patients with Insomnia Disorder: Effect of Daridorexant and Zolpidem. CNS Drugs 2023; 37:639-653. [PMID: 37477771 PMCID: PMC10374812 DOI: 10.1007/s40263-023-01020-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/21/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Daridorexant, a dual orexin receptor antagonist approved in early 2022, reduces wake after sleep onset without reducing the number of awakenings in patients with insomnia. The objective of this post hoc analysis was to explore the effect of daridorexant on the number, duration, and distribution of night-time wake bouts, and their correlation with daytime functioning. METHODS Adults with insomnia disorder were randomized 1:1:1:1:1:1 to placebo, zolpidem 10 mg, or daridorexant 5, 10, 25, or 50 mg in a phase II dose-finding study, and 1:1:1 to placebo or daridorexant 25 or 50 mg in a pivotal phase III study. We analyzed polysomnography data for daridorexant 25 and 50 mg, zolpidem 10 mg, and placebo groups. Polysomnography was conducted at baseline, then on Days 1/2, 15/16, and 28/29 in the phase II study, and Months 1 and 3 in the phase III study. The number, duration, and distribution of wake bouts (≥ 0.5 min) were assessed. RESULTS Data from 1111 patients (phase II study: daridorexant 50 mg [n = 61], zolpidem 10 mg [n = 60], placebo [n = 60]; phase III study: daridorexant 25 mg [n = 310], daridorexant 50 mg [n = 310], placebo [n = 310]) were analyzed. Long wake bouts were defined as > 6 min. Compared with placebo, daridorexant 50 mg reduced overall wake time (p < 0.05; all time points, both studies), the odds of experiencing long wake bouts (p < 0.001; Months 1 and 3, phase III study), and the cumulative duration of long wake bouts (p < 0.01; all time points, both studies). Reductions in long wake bouts were sustained through the second half of the night and correlated with improvements in daytime functioning. An increase in the cumulative duration of short wake bouts was observed with daridorexant 50 mg (p < 0.01 vs placebo, Months 1 and 3, phase III study); this was uncorrelated with daytime functioning. CONCLUSION Daridorexant reduced the number and duration of longer wake bouts throughout the night compared with placebo, corresponding with improved daytime functioning. CLINICAL TRIALS Clinicaltrials.gov NCT02839200 (registered July 20, 2016), NCT03545191 (registered June 4, 2018).
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Affiliation(s)
- Tobias Di Marco
- Idorsia Pharmaceuticals Ltd, Hegenheimermattweg 91, 4123, Allschwil, Switzerland.
- Department of Clinical Research, University of Basel, Schanzenstrasse 55, 4031, Basel, Switzerland.
| | - Thomas E Scammell
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Michael Meinel
- Idorsia Pharmaceuticals Ltd, Hegenheimermattweg 91, 4123, Allschwil, Switzerland
| | - Dalma Seboek Kinter
- Idorsia Pharmaceuticals Ltd, Hegenheimermattweg 91, 4123, Allschwil, Switzerland
| | - Alexandre N Datta
- Department of Clinical Research, University of Basel, Schanzenstrasse 55, 4031, Basel, Switzerland
- Pediatric Neurology and Developmental Medicine Department, University Children's Hospital Basel (UKBB), Basel, Switzerland
| | - Gary Zammit
- Clinilabs Drug Development Corporation, New York, NY, USA
| | - Yves Dauvilliers
- National Reference Centre for Orphan Diseases, Narcolepsy-Rare hypersomnias, Sleep Unit, Department of Neurology, CHU Montpellier, Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
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44
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Hunt C, Park J, Bomyea J, Colvonen PJ. Sleep efficiency predicts improvements in fear extinction and PTSD symptoms during prolonged exposure for veterans with comorbid insomnia. Psychiatry Res 2023; 324:115216. [PMID: 37099850 PMCID: PMC10395069 DOI: 10.1016/j.psychres.2023.115216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/03/2023] [Accepted: 04/20/2023] [Indexed: 04/28/2023]
Abstract
Prolonged exposure (PE) is an evidenced-based psychotherapy for PTSD, but many Veterans fail to achieve a clinically meaningful response. Sleep issues are prevalent in Veterans and may interfere with PE by disrupting the learning and consolidation of fear extinction memories during PE exposures. Here, we examined whether changes in fear extinction across imaginal exposures and PTSD symptoms during PE were predicted by diary-assessed levels of nightly sleep efficiency (SE; i.e., percent of time in bed spent sleeping), which may indirectly index sleep fragmentation and sleep-facilitated memory processes. Participants were Veterans with PTSD and comorbid insomnia (N = 40) participating in a clinical trial of cognitive-behavioral therapy for insomnia plus PE. SE was measured via nightly sleep diaries, fear extinction was operationalized as a reduction in peak distress between weekly imaginal exposures, and PTSD symptoms were assessed bi-weekly. Cross-lagged panel models revealed that higher sleep efficiency during the week predicted lower peak distress at the subsequent imaginal exposure and lower PTSD symptoms at the subsequent assessment, whereas PTSD symptoms and peak distress did not predict subsequent sleep efficiency. Efficient sleep may facilitate fear extinction and PTSD reduction during PE. Targeting sleep efficiency could improve PE effectiveness for Veterans with comorbid insomnia.
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Affiliation(s)
- Christopher Hunt
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America.
| | - Jane Park
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America
| | - Jessica Bomyea
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America
| | - Peter J Colvonen
- VA San Diego Healthcare System, San Diego, CA, United States of America; Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States of America
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45
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Wulterkens BM, Hermans LWA, Fonseca P, Asin J, Duis N, Janssen HCJP, Overeem S, van Gilst MM. Sleep structure in patients with COMISA compared to OSA and insomnia. J Clin Sleep Med 2023; 19:1051-1059. [PMID: 36740913 PMCID: PMC10235713 DOI: 10.5664/jcsm.10500] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 02/07/2023]
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) and insomnia frequently co-occur, making diagnosis and treatment challenging. We investigated differences in sleep structure between patients with OSA, insomnia, and comorbid insomnia and sleep apnea (COMISA) to identify characteristics that can be used to improve the diagnosis of COMISA. METHODS We obtained polysomnography data of 326 patients from the Sleep and OSA Monitoring with Non-Invasive Applications database. The group included patients with OSA (n = 199), insomnia (n = 47), and COMISA (n = 80). We compared statistics related to sleep structure between the 3 patient groups. RESULTS Wake after sleep onset was significantly shorter for the OSA group (median: 60.0 minutes) compared to the COMISA (median: 83.3 minutes, P < .01) and the insomnia (median: 83.5 minutes, P = .01) groups. No significant differences were found in the total number of awakenings and the number of short (up to and including 2 minutes) and medium-length awakenings (2.5 up to and including 4.5 minutes). However, the number of long awakenings (5 minutes or longer) and wake after sleep onset containing only long awakenings was significantly lower for patients with OSA (median: 2 awakenings and 25.5 minutes) compared to patients with COMISA (median: 3 awakenings, P < .01 and 43.3 minutes, P < .001) or with insomnia (median: 3 awakenings, P < .01 and 56.0 minutes, P < .001). Total sleep time was significantly longer and sleep efficiency was significantly higher for the OSA group (median: 418.5 minutes and 84.4%) compared to both the COMISA (median: 391.5 minutes, P < .001 and 77.3%, P < .001) and the insomnia (median: 381.5 minutes, P < .001 and 78.2%, P < .001) groups. The number of sleep-stage transitions during the night for patients with COMISA (median: 194.0) was lower compared to that for patients with OSA (median: 218.0, P < .01) and higher compared to that for patients with insomnia (median: 156.0, P < .001). Other sleep architectural parameters were not discriminative between the groups. CONCLUSIONS Patients with COMISA show specific characteristics of insomnia, including prolonged awakenings. This variable is distinctive in comparison to patients with OSA. The combination of prolonged awakenings and the presence of sleep-disordered breathing leads to increased sleep disturbance compared to patients having only 1 of the sleep disorders. CITATION Wulterkens BM, Hermans LWA, Fonseca P, et al. Sleep structure in patients with COMISA compared to OSA and insomnia. J Clin Sleep Med. 2023;19(6):1051-1059.
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Affiliation(s)
- Bernice M. Wulterkens
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Philips Research, Eindhoven, The Netherlands
| | | | - Pedro Fonseca
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Philips Research, Eindhoven, The Netherlands
| | - Jerryll Asin
- Center for Sleep Medicine, Amphia Hospital, Breda, The Netherlands
| | - Nanny Duis
- Center for Sleep Medicine, Amphia Hospital, Breda, The Netherlands
| | | | - Sebastiaan Overeem
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
| | - Merel M. van Gilst
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
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46
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Clegg-Kraynok M, Barnovsky L, Zhou ES. Real, misreported, and backfilled adherence with paper sleep diaries. Sleep Med 2023; 107:31-35. [PMID: 37116434 DOI: 10.1016/j.sleep.2023.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 04/30/2023]
Abstract
OBJECTIVE Paper-based sleep diaries play an important role in the diagnosis and treatment of insomnia disorder. Accurate self-report data help to guide therapy and track progress, both in the clinic and during research trials. Previous research with paper diaries suggests that timely adherence with self-report diaries may be an issue, which can result in biased event recall. PATIENTS/METHODS University students (N = 31) were asked to track their bedtime and wake time within 30 min of these events on paper-based sleep diaries. Specially designed binders covertly timestamped when participants actually wrote on their sleep diary. We assessed adherence by comparing timestamped diary usage with what participants documented in their sleep diary. RESULTS Participants self-reported they were adherent with sleep diary instructions 97.9% of the time. However, timestamped data revealed that only 37.1% of diary entries were completed within the instructed timeframe. More than half of participants backfilled diary data, and three participants (9.7%) provided data that completely did not match their actual time of completion. CONCLUSIONS When naïve to the objective tracking of their sleep diary usage, participants greatly over-reported the extent of their adherence. Non-adherence with sleep diary protocols poses a challenge for researchers utilizing this tool as a study outcome in clinical trials and for clinicians attempting to implement behavioral therapies for insomnia.
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Affiliation(s)
- Megan Clegg-Kraynok
- Department of Psychology, Ohio Northern University, 525 South Main St, Ada, OH, 45810, USA.
| | - Lauren Barnovsky
- Department of Criminology and Criminal Justice, University of Maryland, 7251 Preinkert Dr, College Park, MD, 20742, USA.
| | - Eric S Zhou
- Division of Sleep Medicine, Harvard Medical School, 221 Longwood Avenue, Boston, MA, 02115, USA; Perini Family Survivors' Center, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA; Department of Neurology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.
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47
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Holub F, Petri R, Schiel J, Feige B, Rutter MK, Tamm S, Riemann D, Kyle SD, Spiegelhalder K. Associations between insomnia symptoms and functional connectivity in the UK Biobank cohort (n = 29,423). J Sleep Res 2023; 32:e13790. [PMID: 36528860 DOI: 10.1111/jsr.13790] [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: 04/19/2022] [Revised: 09/13/2022] [Accepted: 11/03/2022] [Indexed: 12/23/2022]
Abstract
An increasing number of studies harness resting-state fMRI functional connectivity analysis to investigate the neurobiological mechanisms of insomnia. The results to date are inconsistent and the detection of minor and widely distributed alterations in functional connectivity requires large sample sizes. The present study investigated associations between insomnia symptoms and resting-state functional connectivity at the whole-brain level in the largest sample to date. This cross-sectional analysis used resting-state imaging data from the UK Biobank, a large scale, population-based biomedical database. The analysis included 29,423 participants (age: 63.1 ± 7.5 years, 54.3% female), comprising 9210 with frequent insomnia symptoms and 20,213 controls without. Linear models were adjusted for relevant clinical, imaging, and socio-demographic variables. The Akaike information criterion was used for model selection. Multiple comparisons were corrected using the false discovery rate with a significance level of q < 0.05. Frequent insomnia symptoms were associated with increased connectivity within the default mode network and frontoparietal network, increased negative connectivity between the default mode network and the frontoparietal network, and decreased connectivity between the salience network and a node of the default mode network. Furthermore, frequent insomnia symptoms were associated with altered functional connectivity between nodes comprising sensory areas and the cerebellum. These functional alterations of brain networks may underlie dysfunctional affective and cognitive processing in insomnia and contribute to subjectively and objectively impaired sleep. However, it must be noted that the item that was used to assess frequent insomnia symptoms in this study did not assess all the characteristics of clinically diagnosed insomnia.
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Affiliation(s)
- Florian Holub
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Roxana Petri
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Julian Schiel
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bernd Feige
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sandra Tamm
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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48
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Benz F, Riemann D, Domschke K, Spiegelhalder K, Johann AF, Marshall NS, Feige B. How many hours do you sleep? A comparison of subjective and objective sleep duration measures in a sample of insomnia patients and good sleepers. J Sleep Res 2023; 32:e13802. [PMID: 36529876 DOI: 10.1111/jsr.13802] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 11/04/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022]
Abstract
Our objective was to assess the agreement and linear relationships amongst multiple measures of sleep duration in a sample of patients with insomnia disorder and good sleeper controls. We retrospectively analysed data from 123 patients with insomnia disorder and 123 age- and gender-matched good sleeper controls who completed a simple subjective habitual sleep duration question (Pittsburgh Sleep Quality Index), a sleep diary (5-14 days), 2 nights of polysomnography, and two corresponding morning subjective estimates of sleep duration. Descriptive statistics, linear regression analyses and Bland-Altman plots were used to describe the relationship and (dis)agreement between sleep duration measures. Relationships between polysomnography and the simple question as well as between polysomnography and sleep diary were weak to non-existent. Subjective measures and polysomnography did not agree. Sleep duration measured with the Pittsburgh Sleep Quality Index or sleep diary was about 2 hr above or up to 4 hr below polysomnography-measured sleep duration. Patients with insomnia disorder, on average, reported shorter sleep duration compared with polysomnography, while good sleeper controls, on average, reported longer sleep duration compared with polysomnography. The results suggest that subjective and objective measures apparently capture different aspects of sleep, even when nominally addressing the same value (sleep duration). They disagree in both patients with insomnia disorder and good sleeper controls, but in different directions. Studies assessing sleep duration should take into account both the investigated population and the assessment method when interpreting results. Future studies should continue to investigate possible psychological and physiological correlates of sleep (mis)perception.
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Affiliation(s)
- Fee Benz
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anna F Johann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Germany
| | - Nathaniel S Marshall
- Woolcock Institute of Medical Research, Sydney, Australia.,Sydney Nursing School, University of Sydney, Sydney, Australia
| | - Bernd Feige
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
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49
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Stoner AM, Patnaik JL, Ertel MK, Capitena-Young CE, SooHoo JR, Pantcheva MB, Kahook MY, Seibold LK. Subjective and Objective Measurement of Sleep Quality and Activity in Glaucoma. J Glaucoma 2023; 32:265-271. [PMID: 36795515 DOI: 10.1097/ijg.0000000000002186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 01/22/2023] [Indexed: 02/17/2023]
Abstract
PRCIS Glaucoma patients exhibit worse indices of sleep function by both objective and subjective metrics compared with controls. PURPOSE The purpose of this study is to characterize the sleep parameters and physical activity levels of glaucoma patients compared with controls. PATIENTS AND METHODS A total of 102 patients with a diagnosis of glaucoma in at least 1 eye and 31 control subjects were enrolled in the study. Participants completed the Pittsburgh Sleep Quality Index (PSQI) during enrollment and then wore wrist actigraphs for 7 consecutive days to characterize circadian rhythm, sleep quality, and physical activity. The primary outcomes of the study were subjective and objective metrics of sleep quality using the PSQI and actigraphy devices, respectively. The secondary outcome was physical activity, measured by the actigraphy device. RESULTS From the PSQI survey, glaucoma patients had higher (worse) scores compared with controls for sleep latency, sleep duration, and subjective sleep quality, whereas scores for sleep efficiency were lower (better), suggesting more time spent in bed asleep. By actigraphy, time in bed was significantly higher in glaucoma patients as was time awake after sleep onset. Interdaily stability, quantifying the synchronization to the 24-hour light-dark cycle, was lower in glaucoma patients. There were no other significant differences between glaucoma and control patients with regard to rest-activity rhythms or physical activity metrics. In contrast to the survey data, findings from the actigraphy demonstrated that there were no significant associations between the study group and controls regarding sleep efficiency, onset latency, or total sleep time. CONCLUSIONS In this study, patients with glaucoma demonstrated several subjective and objective differences in sleep function when compared with controls, whereas physical activity metrics were similar.
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Affiliation(s)
- Ari M Stoner
- Indiana University School of Medicine, Indianapolis, IN
| | - Jennifer L Patnaik
- Department of Ophthalmology, University of Colorado School of Medicine, Aurora, CO
| | - Monica K Ertel
- Department of Ophthalmology, University of Colorado School of Medicine, Aurora, CO
| | | | - Jeffrey R SooHoo
- Department of Ophthalmology, University of Colorado School of Medicine, Aurora, CO
| | - Mina B Pantcheva
- Department of Ophthalmology, University of Colorado School of Medicine, Aurora, CO
| | - Malik Y Kahook
- Department of Ophthalmology, University of Colorado School of Medicine, Aurora, CO
| | - Leonard K Seibold
- Department of Ophthalmology, University of Colorado School of Medicine, Aurora, CO
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50
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Evanger LN, Bjorvatn B, Pallesen S, Hysing M, Sivertsen B, Saxvig IW. Later school start time is associated with longer school day sleep duration and less social jetlag among Norwegian high school students: Results from a large-scale, cross-sectional study. J Sleep Res 2023. [PMID: 36864696 DOI: 10.1111/jsr.13840] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
The present study explored the associations between school start time and sleep habits among older adolescents, and whether these associations depended on circadian preference. The sample comprised 4010 high school students aged 16-17 years who completed a web-based survey on habitual school start time, sleep, and health. The survey included the Munich ChronoType Questionnaire, and the short version of the Horne-Östberg Morningness-Eveningness Questionnaire. Students were categorised according to habitual school start time (before 08:00 hours, 08:00 hours, 08:15 hours, 08:30 hours or after 08:30 hours) and circadian preference (morning, intermediate or evening). Data were analysed using two-way analyses of variance (school start time × circadian preference) and linear regression analyses. Results showed an overall effect of school start time on school day sleep duration (main effect, p < 0.001), with the latest school starters having the longest, and the earliest school starters having the shortest sleep duration (7:03 hr versus 6:16 hr; Tukey HSD p < 0.001). Similarly, later school starters generally reported shorter social jetlag and later school day wake-up times than earlier starting students (both main effect p < 0.001). Circadian preference did not modify these associations (interaction effects p > 0.05). In the crude regression analysis, 15 min later school start was associated with 7.2 min more sleep (p < 0.001). School start time remained a significant predictor of school day sleep duration when adjusted for sex, parental educational level and circadian preference (p < 0.001). Results suggest that school start time is a significant predictor of school day sleep duration among adolescents.
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Affiliation(s)
- Linn Nyjordet Evanger
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Bjørn Bjorvatn
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway
| | - Ståle Pallesen
- Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway.,Department of Psychosocial Science, University of Bergen, Bergen, Norway
| | - Mari Hysing
- Department of Psychosocial Science, University of Bergen, Bergen, Norway
| | - Børge Sivertsen
- Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway.,Department of Research & Innovation, Helse Fonna HF, Haugesund, Norway
| | - Ingvild West Saxvig
- Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway.,Centre for Sleep Medicine, Haukeland University Hospital, Bergen, Norway
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