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Bai N, Cao J, Zhang H, Liu X, Yin M. Digital cognitive behavioural therapy for patients with insomnia and depression: A systematic review and meta-analysis. J Psychiatr Ment Health Nurs 2024; 31:654-667. [PMID: 38226714 DOI: 10.1111/jpm.13024] [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: 08/03/2023] [Revised: 12/01/2023] [Accepted: 01/07/2024] [Indexed: 01/17/2024]
Abstract
WHAT IS KNOWN ON THE SUBJECT Sleep problems are common among those with depression, and there is increasing evidence that sleep problems should be addressed during treatment simultaneously rather than treating depression alone. The first-line treatment for insomnia is cognitive behavioural therapy for insomnia (CBT-I), due to a lack of well-trained therapists and patient time constraints (travelling, work), CBT-I has not been popularized. The development of digital cognitive behavioural therapy for insomnia (dCBT-I) is making the treatment more accessible. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE Interventions for dCBT-I were significantly better than other control conditions in both reducing insomnia and improving depression in patients with depression and insomnia comorbidities. The effect was found to be related to the duration of the intervention and the severity of insomnia before the intervention and therapist-involved dCBT-I has less shedding than self-help. WHAT ARE THE IMPLICATIONS FOR PRACTICE It's important for mental health practitioners to realize that insomnia in depressed people needs to be treated. Future trials may explore the effectiveness of therapist-guided dCBT-I in depressed populations and analyse the cost-effectiveness of this treatment. ABSTRACT Aim The aim of the study was to systematically identify and synthesize the evidence for the effectiveness of digital cognitive behavioural therapy in insomnia with comorbid depression. Design Systematic review and metaanalysis. Methods A search was conducted on five English and four non-English databases from the inception of the databases to November 2023. This review adhered to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-analysis Statement 2020 and the included studies were evaluated using version 2 of the Cochrane risk of bias tool. This review examined sleep-related outcomes, including insomnia severity and sleep diaries, along with psychological outcomes, such as depression. We conducted a meta-analysis of each outcome using a random effects model. Heterogeneity was assessed by the I2 statistic. Results A total of seven articles with 1864 participants were included in this review. The results showed that the digital cognitive behavioural therapy group demonstrated a statistically significant amelioration in the severity of insomnia symptoms, as well as a reduction in depressive symptomatology compared with the control groups. The post-intervention effect was found to be related to the duration of the intervention and the severity of insomnia before the intervention. Conclusions Digital cognitive behavioural therapy for insomnia application in patients with depression and insomnia was demonstrated to be effective, less time-consuming and more accessible. Relevance to Clinical Practice We may consider incorporating nurses into treatment plans and conducting nurse-led interventions in specific programs. In the future, nurses may be able to provide exclusive digital behavioural therapy for insomnia to patients with depression to achieve greater effectiveness.
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Affiliation(s)
- Nan Bai
- School of Nursing, Lanzhou University, Lanzhou, China
| | - Juling Cao
- Department of Psychiatry, Lanzhou University Second Hospital, Lanzhou, China
| | - Huiyue Zhang
- School of Nursing, Lanzhou University, Lanzhou, China
| | - Xin Liu
- School of Nursing, Lanzhou University, Lanzhou, China
| | - Min Yin
- School of Nursing, Lanzhou University, Lanzhou, China
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Silang K, MacKinnon A, Madsen J, Giesbrecht GF, Campbell T, Keys E, Freeman M, Dewsnap K, Jung JW, Tomfohr-Madsen LM. Sleeping for two: A randomized controlled trial of cognitive behavioural therapy for insomnia (CBTI) delivered in pregnancy and secondary impacts on symptoms of postpartum depression. J Affect Disord 2024; 362:670-678. [PMID: 39029668 DOI: 10.1016/j.jad.2024.07.117] [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: 10/06/2023] [Revised: 06/27/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Insomnia in pregnancy is common and highly comorbid with depression. OBJECTIVE To investigate if: 1) depressive symptoms decrease after cognitive behavioural therapy for insomnia (CBTI) delivered in pregnancy, and 2) changes in insomnia symptoms represent a mechanism linking CBT-I treatment and reduced symptoms of postpartum depression. METHODS A two-arm, single-blind, parallel groups randomized controlled trial (RCT) design was used to evaluate the impact of a 5-week CBT-I intervention adapted for pregnant people with insomnia (N = 62). Participants were eligible if they were pregnant, between 12 and 28 weeks gestation, and met diagnostic criteria for insomnia. Participants completed questionnaires assessing symptoms of insomnia and depression pre-intervention (T1), post-intervention (T2), and six months postpartum (T3). A path analysis model was used to test direct and indirect effects simultaneously. RESULTS There was a significant direct effect of CBT-I on postpartum depressive symptoms at T3. Additionally, significant indirect treatment effects on depressive symptoms at T3 emerged, through depressive symptoms at T2 and through improvements in insomnia that persisted from T2 to T3. LIMITATIONS Limitations to the current study include limited generalizability, the non-depressed sample, and variability in treatment and assessment delivery (in-person vs. online). CONCLUSIONS CBT-I treatment in pregnancy may indirectly reduce postpartum depressive symptoms, through sustained improvements in insomnia symptoms.
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Affiliation(s)
- Katherine Silang
- Department of Psychology, University of Calgary, Calgary, Canada.
| | - Anna MacKinnon
- Department, of Psychiatry and Addictology, University of Montreal, Montreal, Canada
| | - Joshua Madsen
- Department of Educational and Counselling Psychology, and Special Education, University of British Columbia, Vancouver, Canada
| | - Gerald F Giesbrecht
- Department of Psychology, University of Calgary, Calgary, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Canada; Department of Pediatrics, University of Calgary, Calgary, Canada
| | - Tavis Campbell
- School of Nursing, Faculty of Health and Social Development, University of British Columbia Okanagan campus, Kelowna, Canada; Faculty of Nursing, University of Calgary, Calgary, Canada
| | - Elizabeth Keys
- School of Nursing, Faculty of Health and Social Development, University of British Columbia Okanagan campus, Kelowna, Canada; Faculty of Nursing, University of Calgary, Calgary, Canada
| | - Makayla Freeman
- Department of Educational and Counselling Psychology, and Special Education, University of British Columbia, Vancouver, Canada
| | - Kyle Dewsnap
- Department of Educational and Counselling Psychology, and Special Education, University of British Columbia, Vancouver, Canada
| | | | - Lianne M Tomfohr-Madsen
- Department of Educational and Counselling Psychology, and Special Education, University of British Columbia, Vancouver, Canada
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Malarkey ME, Fu AJ, Mannan N, Shaw OM, Haight TJ, Cota MR, Jahed NC, Werner JK, Brody DL. Internet-Guided Cognitive Behavioral Therapy for Insomnia Among Patients With Traumatic Brain Injury: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2420090. [PMID: 38980675 PMCID: PMC11234237 DOI: 10.1001/jamanetworkopen.2024.20090] [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: 07/10/2024] Open
Abstract
Importance Many military service members and veterans report insomnia after sustaining traumatic brain injury (TBI). Limitations of first-line treatment, cognitive-behavioral therapy for insomnia (CBT-I), include availability of qualified clinicians, low completion rates, and cost. Objective To investigate the feasibility and efficacy of internet-guided CBT-I (eCBT-I) in military service members and veterans with insomnia and a history of TBI. Design, Setting, and Participants This randomized clinical trial of fully remote internet-based interventions and evaluations was conducted from September 1, 2020, to June 30, 2021, with 3 months of follow-up. Participants included a volunteer sample of military service members and veterans aged 18 to 64 years with a history of mild TBI/concussion and at least moderately severe insomnia defined as an insomnia severity index (ISI) score of greater than 14 and Pittsburgh Sleep Quality Index of greater than 4. Self-reported race, ethnicity, and educational level were generally representative of the US military. Data were analyzed from October 21, 2021, to April 29, 2024. Intervention Internet-based CBT-I delivered over 6 weekly lesson modules with assigned homework activities. Main Outcomes and Measures The prespecified primary outcome measure was change in ISI score over time. Prespecified secondary outcome measures included self-reported measures of depression symptoms, posttraumatic stress disorder (PTSD) symptoms, sleep quality, migraine impact, and fatigue. Results Of 204 people screened, 125 were randomized 3:1 to eCBT-I vs online sleep education, and 106 completed baseline evaluations (83 men [78.3%]; mean [SD] age, 42 [12] years). Of these, 22 participants (20.8%) were Hispanic or Latino and 78 (73.6%) were White. Fifty participants completed postintervention evaluations, and 41 completed the 3-month follow-up. Baseline mean (SD) ISI scores were 19.7 (4.0) in those randomized to eCBT-I and 18.9 (5.0) in those randomized to sleep education. After intervention, mean (SD) ISI scores were 13.7 (5.6) in those randomized to eCBT-I and 16.6 (5.7) in those randomized to sleep education. The difference in the extent of reduction in ISI scores between groups was 3.5 (95% CI,-6.5 to -0.4 [P = .03]; Cohen d, -0.32 [95% CI, -0.70 to -0.04]). In the eCBT-I group, the extent of insomnia improvement correlated with the extent of depressive symptom improvement (Spearman ρ = 0.68 [P < .001]), PTSD symptoms (ρ = 0.36 [P = .04]), sleep quality (ρ = 0.54 [P = .001]), and fatigue impact (ρ = -0.58 [P < .001]) but not migraine-related disability. Conclusions and Relevance The findings of this randomized clinical trial suggest that fully remote eCBT-I was moderately feasible and effective for self-reported insomnia and depression symptoms in military service members and veterans with a history of TBI. There is great potential benefit for eCBT-I due to low availability and cost of qualified CBT-I clinicians, although optimization of completion rates remains a challenge. Future studies may use home-based objective sleep assessments and should increase study retention. Trial Registration ClinicalTrials.gov Identifier: NCT04377009.
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Affiliation(s)
- Molly E Malarkey
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
| | - Adele J Fu
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
| | - Noushin Mannan
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
| | - Olivia M Shaw
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
| | - Thaddeus J Haight
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
| | - Martin R Cota
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
| | - Nasreen C Jahed
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, Maryland
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
| | - J Kent Werner
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - David L Brody
- Military Traumatic Brain Injury Initiative (formerly the Center for Neuroscience and Regenerative Medicine), Bethesda, Maryland
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland
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Geusgens CAV, van Tilburg DCH, Fleischeuer B, Bruijel J. The relation between insomnia and depression in the subacute phase after stroke. Neuropsychol Rehabil 2024:1-17. [PMID: 38941450 DOI: 10.1080/09602011.2024.2370072] [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: 07/13/2023] [Accepted: 06/11/2024] [Indexed: 06/30/2024]
Abstract
Prevalence rates for both depression and insomnia the first year after stroke are around 30%, significantly impacting the prospects of recovery, rehabilitation, and quality of life. Furthermore, the risk of insomnia and depression becoming chronic is high in the subacute phase post-stroke. This cross-sectional observational study investigated whether insomnia and depression are related in the subacute phase post-stroke, using validated instruments. Sixty-six outpatient stroke survivors participated. Depression was measured using the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) and insomnia severity with the Insomnia Severity Index (ISI). A multiple linear regression analysis was used to examine the association between the dependent variable post-stroke depression and the independent variables insomnia and pre-stroke depression treatment. Results showed that insomnia (β = 0.48, t = 4.40, p < 0.001) and pre-stroke depression treatment (β = 0.24, t = 2.28, p = 0.026) were both significant predictors of depression. Participants with more insomnia complaints and participants with pre-stroke depression treatment had more depression symptoms post-stroke. Therefore, it is important to be alert in the subacute phase post-stroke of both, insomnia and depression complaints.
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Affiliation(s)
- Chantal A V Geusgens
- Department of Clinical and Medical Psychology, Zuyderland Medical Center, Sittard & Heerlen, The Netherlands
| | - Debbie C H van Tilburg
- Department of Clinical and Medical Psychology, Zuyderland Medical Center, Sittard & Heerlen, The Netherlands
| | - Britt Fleischeuer
- Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Jessica Bruijel
- Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Limburg Brain Injury Centre, Maastricht, The Netherlands
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Muhammad T, Srivastava S, Muneera K, Kumar M, Kelekar U. Treatment for Insomnia Symptoms is Associated with Reduced Depression Among Older Adults: A Propensity Score Matching Approach. Clin Gerontol 2024; 47:436-451. [PMID: 37153958 DOI: 10.1080/07317115.2023.2208582] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
OBJECTIVES The study aimed to investigate the effect of utilization of treatment for insomnia symptoms on the prevalence of major depressive disorder among older adults in India. METHODS We used the data from the Longitudinal Ageing Study in India (LASI), 2017-18. The sample included 10,911 older individuals who reported insomnia symptoms. The propensity score matching (PSM) approach was used to compare the depressive disorder among those who received vs. not received treatment. RESULTS Only 5.7% of older adults reporting insomnia symptoms received treatment. On average, prevalence of depressive disorder among men and women who received treatment for insomnia symptoms was lesser by 0.79 and 0.33 points, respectively, than those who did not receive treatment. In the matched sample, treatment for insomnia symptoms was significantly associated with lesser prevalence of depression for both older men (β= -0.68, p < .001) and older women (β= -0.62, p < .001). CONCLUSIONS The current findings suggest that treatment for insomnia symptoms can reduce the risk of depressive disorder among older adults and the effects are higher among older men than women.
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Affiliation(s)
- T Muhammad
- Department of Family & Generations, International Institute for Population Sciences, Mumbai, India
| | - Shobhit Srivastava
- Department of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, India
| | - K Muneera
- School of Management Studies, National Institute of Technology, Calicut, Kerala, India
| | - Manish Kumar
- Population Research Centre, Dharwad, Karnataka, India
| | - Uma Kelekar
- School of Business, College of Business, Innovation, Leadership and Technology
- Marymount Center for Optimal Aging, Marymount University, Arlington-VA, USA
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Thielecke J, Kuper P, Lehr D, Schuurmans L, Harrer M, Ebert DD, Cuijpers P, Behrendt D, Brückner H, Horvath H, Riper H, Buntrock C. Who benefits from indirect prevention and treatment of depression using an online intervention for insomnia? Results from an individual-participant data meta-analysis. Psychol Med 2024:1-14. [PMID: 38469832 DOI: 10.1017/s0033291724000527] [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] [Indexed: 03/13/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is highly prevalent and burdensome for individuals and society. While there are psychological interventions able to prevent and treat MDD, uptake remains low. To overcome structural and attitudinal barriers, an indirect approach of using online insomnia interventions seems promising because insomnia is less stigmatized, predicts MDD onset, is often comorbid and can outlast MDD treatment. This individual-participant-data meta-analysis evaluated the potential of the online insomnia intervention GET.ON Recovery as an indirect treatment to reduce depressive symptom severity (DSS) and potential MDD onset across a range of participant characteristics. METHODS Efficacy on depressive symptom outcomes was evaluated using multilevel regression models controlling for baseline severity. To identify potential effect moderators, clinical, sociodemographic, and work-related variables were investigated using univariable moderation and random-forest methodology before developing a multivariable decision tree. RESULTS IPD were obtained from four of seven eligible studies (N = 561); concentrating on workers with high work-stress. DSS was significantly lower in the intervention group both at post-assessment (d = -0.71 [95% CI-0.92 to -0.51]) and at follow-up (d = -0.84 [95% CI -1.11 to -0.57]). In the subsample (n = 121) without potential MDD at baseline, there were no significant group differences in onset of potential MDD. Moderation analyses revealed that effects on DSS differed significantly across baseline severity groups with effect sizes between d = -0.48 and -0.87 (post) and d = - 0.66 to -0.99 (follow-up), while no other sociodemographic, clinical, or work-related characteristics were significant moderators. CONCLUSIONS An online insomnia intervention is a promising approach to effectively reduce DSS in a preventive and treatment setting.
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Affiliation(s)
- Janika Thielecke
- Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
- Unit Healthy Living & Work, TNO (The Netherlands Organization for Applied Scientific Research), Leiden, Netherlands
| | - Paula Kuper
- Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany
- Institute of Social Medicine and Health Systems Research, Faculty of Medicine, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Dirk Lehr
- Department of Health Psychology and Applied Biological Psychology, Institute for Sustainability, Education & Psychology, Leuphana University Luneburg, Luneburg, Germany
| | - Lea Schuurmans
- Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany
| | - Mathias Harrer
- Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany
- GET.ON Institute for Online Health Trainings GmbH, Berlin, Germany
| | - David D Ebert
- Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, VU University, Amsterdam, Netherlands
- Amsterdam Public Health, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Dörte Behrendt
- Department of Health Psychology and Applied Biological Psychology, Institute for Sustainability, Education & Psychology, Leuphana University Luneburg, Luneburg, Germany
| | - Hanna Brückner
- Department of Health Psychology and Applied Biological Psychology, Institute for Sustainability, Education & Psychology, Leuphana University Luneburg, Luneburg, Germany
| | - Hanne Horvath
- GET.ON Institute for Online Health Trainings GmbH, Berlin, Germany
| | - Heleen Riper
- Department of Clinical, Neuro and Developmental Psychology, VU University, Amsterdam, Netherlands
- Amsterdam Public Health, Amsterdam University Medical Centers, Amsterdam, Netherlands
- Department of Psychiatry, VU University Medical Center, Amsterdam, Netherlands
| | - Claudia Buntrock
- Institute of Social Medicine and Health Systems Research, Faculty of Medicine, Otto von Guericke University Magdeburg, Magdeburg, Germany
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Leerssen J, Aghajani M, Bresser T, Rösler L, Winkler AM, Foster-Dingley JC, Van Someren EJW. Cognitive, Behavioral, and Circadian Rhythm Interventions for Insomnia Alter Emotional Brain Responses. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:60-69. [PMID: 36958474 DOI: 10.1016/j.bpsc.2023.03.007] [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: 10/19/2022] [Revised: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND The highest risk of depression is conveyed by insomnia. This risk can be mitigated by sleep interventions. Understanding brain mechanisms underlying increased emotional stability following insomnia treatment could provide insight relevant to the prevention of depression. Here, we investigated how different sleep interventions alter emotion-related brain activity in people with insomnia at high risk of developing depression. METHODS Functional magnetic resonance imaging was used to assess how the amygdala response to emotional stimuli (negative facial expression) in 122 people with insomnia disorder differed from 36 control subjects and how the amygdala response changed after 6 weeks of either no treatment or internet-based circadian rhythm support (CRS), cognitive behavioral therapy for insomnia (CBT-I), or their combination (CBT-I+CRS). Effects on depression, insomnia and anxiety severity were followed up for 1 year. RESULTS Only combined treatment (CBT-I+CRS) significantly increased the amygdala response, compared with no treatment, CBT-I, and CRS. Individual differences in the degree of response enhancement were associated with improvement of insomnia symptoms directly after treatment (r = -0.41, p = .021). Moreover, exclusively CBT-I+CRS enhanced responsiveness of the left insula, which occurred in proportion to the reduction in depressive symptom severity (r = -0.37, p = .042). CONCLUSIONS This functional magnetic resonance imaging study on insomnia treatment, the largest to date, shows that a combined cognitive, behavioral, and circadian intervention enhances emotional brain responsiveness and might improve resilience in patients with insomnia who are at high risk of developing depression.
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Affiliation(s)
- Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands.
| | - Moji Aghajani
- Section Forensic Family and Youth Care, Institute of Education and Child Studies, Leiden University, Leiden, the Netherlands; Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, VU University, Amsterdam, the Netherlands
| | - Tom Bresser
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands; Department of Clinical Genetics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Lara Rösler
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands
| | - Anderson M Winkler
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Jessica C Foster-Dingley
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, VU University, Amsterdam, the Netherlands
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Harrington MO, Reeve S, Bower JL, Renoult L. How do the sleep features that characterise depression impact memory? Emerg Top Life Sci 2023; 7:499-512. [PMID: 38054537 PMCID: PMC10754336 DOI: 10.1042/etls20230100] [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: 05/17/2023] [Revised: 11/07/2023] [Accepted: 11/14/2023] [Indexed: 12/07/2023]
Abstract
Depression is associated with general sleep disturbance and abnormalities in sleep physiology. For example, compared with control subjects, depressed patients exhibit lower sleep efficiency, longer rapid eye movement (REM) sleep duration, and diminished slow-wave activity during non-REM sleep. A separate literature indicates that depression is also associated with many distinguishing memory characteristics, including emotional memory bias, overgeneral autobiographical memory, and impaired memory suppression. The sleep and memory features that hallmark depression may both contribute to the onset and maintenance of the disorder. Despite our rapidly growing understanding of the intimate relationship between sleep and memory, our comprehension of how sleep and memory interact in the aetiology of depression remains poor. In this narrative review, we consider how the sleep signatures of depression could contribute to the accompanying memory characteristics.
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Affiliation(s)
| | - Sarah Reeve
- Department of Clinical Psychology and Psychological Therapies, Norwich Medical School, University of East Anglia, Norwich, U.K
| | - Joanne L. Bower
- School of Psychology, University of East Anglia, Norwich, U.K
| | - Louis Renoult
- School of Psychology, University of East Anglia, Norwich, U.K
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9
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Riemann D, Espie CA, Altena E, Arnardottir ES, Baglioni C, Bassetti CLA, Bastien C, Berzina N, Bjorvatn B, Dikeos D, Dolenc Groselj L, Ellis JG, Garcia-Borreguero D, Geoffroy PA, Gjerstad M, Gonçalves M, Hertenstein E, Hoedlmoser K, Hion T, Holzinger B, Janku K, Jansson-Fröjmark M, Järnefelt H, Jernelöv S, Jennum PJ, Khachatryan S, Krone L, Kyle SD, Lancee J, Leger D, Lupusor A, Marques DR, Nissen C, Palagini L, Paunio T, Perogamvros L, Pevernagie D, Schabus M, Shochat T, Szentkiralyi A, Van Someren E, van Straten A, Wichniak A, Verbraecken J, Spiegelhalder K. The European Insomnia Guideline: An update on the diagnosis and treatment of insomnia 2023. J Sleep Res 2023; 32:e14035. [PMID: 38016484 DOI: 10.1111/jsr.14035] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 11/30/2023]
Abstract
Progress in the field of insomnia since 2017 necessitated this update of the European Insomnia Guideline. Recommendations for the diagnostic procedure for insomnia and its comorbidities are: clinical interview (encompassing sleep and medical history); the use of sleep questionnaires and diaries (and physical examination and additional measures where indicated) (A). Actigraphy is not recommended for the routine evaluation of insomnia (C), but may be useful for differential-diagnostic purposes (A). Polysomnography should be used to evaluate other sleep disorders if suspected (i.e. periodic limb movement disorder, sleep-related breathing disorders, etc.), treatment-resistant insomnia (A) and for other indications (B). Cognitive-behavioural therapy for insomnia is recommended as the first-line treatment for chronic insomnia in adults of any age (including patients with comorbidities), either applied in-person or digitally (A). When cognitive-behavioural therapy for insomnia is not sufficiently effective, a pharmacological intervention can be offered (A). Benzodiazepines (A), benzodiazepine receptor agonists (A), daridorexant (A) and low-dose sedating antidepressants (B) can be used for the short-term treatment of insomnia (≤ 4 weeks). Longer-term treatment with these substances may be initiated in some cases, considering advantages and disadvantages (B). Orexin receptor antagonists can be used for periods of up to 3 months or longer in some cases (A). Prolonged-release melatonin can be used for up to 3 months in patients ≥ 55 years (B). Antihistaminergic drugs, antipsychotics, fast-release melatonin, ramelteon and phytotherapeutics are not recommended for insomnia treatment (A). Light therapy and exercise interventions may be useful as adjunct therapies to cognitive-behavioural therapy for insomnia (B).
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Affiliation(s)
- Dieter Riemann
- Department of Clinical Psychology and Psychophysiology, Centre for Mental Health (Department), 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
| | - Colin A Espie
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neuroscience at the University of Oxford, Oxford, UK
| | | | - Erna Sif Arnardottir
- Reykjavik University Sleep Institute, School of Technology, Reykjavik University, Reykjavik, Iceland
- Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Chiara Baglioni
- Human Sciences Department, University of Rome Guglielmo Marconi Rome, Rome, Italy
| | | | - Celyne Bastien
- École de Psychologie, Université Laval, Québec, Québec, Canada
| | | | - Bjørn Bjorvatn
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Dimitris Dikeos
- First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Leja Dolenc Groselj
- Institute of Clinical Neurophysiology, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - Jason G Ellis
- Northumbria Sleep Research Laboratory, Northumbria University, Newcastle, UK
| | | | | | | | | | - Elisabeth Hertenstein
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Kerstin Hoedlmoser
- Centre for Cognitive Neurosciences, University of Salzburg, Salzburg, Austria
| | - Tuuliki Hion
- East-Viru Central Hospital, Kohtla-Järve, Estonia
| | | | - Karolina Janku
- Center for Sleep and Chronobiology Research, National Institute of Mental Health, Klecany, Czech Republic
| | - Markus Jansson-Fröjmark
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden and Stockholm Health Care Services, Stockholm, Sweden
| | - Heli Järnefelt
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Susanna Jernelöv
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden and Stockholm Health Care Services, Stockholm, Sweden
| | - Poul Jørgen Jennum
- Department of Clinical Medicine, University of Copenhagen, Kobenhavn, Denmark
| | - Samson Khachatryan
- Department of Neurology and Neurosurgery, Armenian National Institute of Health, Yerevan, Armenia
| | - Lukas Krone
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neuroscience at the University of Oxford, Oxford, UK
- Department of Neurology, Inselspital, University of Bern, Berne, Switzerland
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neuroscience at the University of Oxford, Oxford, UK
| | - Jaap Lancee
- Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Damien Leger
- Université Paris Cité, APHP, Hôtel Dieu de Paris, Centre du Sommeil et de la Vigilance, Paris, France
| | - Adrian Lupusor
- Functional Neurology, Institute of Neurology and Neurosurgery, Chisinau, Moldova
| | - Daniel Ruivo Marques
- Department of Education and Psychology, University of Aveiro, Aveiro, Portugal
- CINEICC - Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
| | - Christoph Nissen
- Department of Psychiatry, University Hospital Geneve, Geneve, Switzerland
| | - Laura Palagini
- Psychiatry Unit, Department of Clinical and Experimental Medicine, School of Medicine, University of Pisa, Pisa, Italy
| | - Tiina Paunio
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Dirk Pevernagie
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Manuel Schabus
- Centre for Cognitive Neurosciences, University of Salzburg, Salzburg, Austria
| | - Tamar Shochat
- The Cheryl Spencer Institute of Nursing Research, University of Haifa, Haifa, Israel
| | - Andras Szentkiralyi
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Eus Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Departments of Integrative Neurophysiology and Psychiatry, Center for Neurogenomics and Cognitive Research, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Annemieke van Straten
- Department of Clinical, Neuro- and Developmental Psychology & Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Adam Wichniak
- Sleep Medicine Center and Third Department of Psychiatry, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Johan Verbraecken
- Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital and University of Antwerp, Antwerp, Belgium
| | - Kai Spiegelhalder
- Department of Clinical Psychology and Psychophysiology, Centre for Mental Health (Department), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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10
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Henry AL, Miller CB, Emsley R, Sheaves B, Freeman D, Luik AI, Espie CA. Does treating insomnia with digital cognitive behavioural therapy (Sleepio) mediate improvements in anxiety for those with insomnia and comorbid anxiety? An analysis using individual participant data from two large randomised controlled trials. J Affect Disord 2023; 339:58-63. [PMID: 37390923 DOI: 10.1016/j.jad.2023.06.053] [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: 01/10/2023] [Revised: 06/06/2023] [Accepted: 06/26/2023] [Indexed: 07/02/2023]
Abstract
BACKGROUND Considerable comorbidity exists between insomnia and anxiety, and evidence shows that the benefits of CBT for insomnia extend to anxiety. Using data from two large trials of digital CBT (dCBT) for insomnia, we evaluated whether improving sleep is an effective treatment target to reduce both insomnia and anxiety symptoms in individuals with insomnia and clinically significant anxiety. METHODS This was a controlled sub-analysis combining individual participant data from two previous randomised controlled trials of dCBT for insomnia (Sleepio). Participants (N = 2172) with insomnia disorder and clinically significant anxiety symptoms were included in this sub-analysis and received either dCBT or control (usual care or sleep hygiene education). Assessments were evaluated at baseline, post-intervention (week 8 or 10), and follow-up (week 22 or 24). Mediation was evaluated using structural equation models. RESULTS dCBT for insomnia was superior to control at reducing both insomnia (Hedges' g range = 0.77-0.81; both p < 0.001) and anxiety symptoms (Hedges' g range = 0.39-0.44; both p < 0.001) at all time points. Baseline insomnia symptoms moderated the effects of dCBT on insomnia, however no variables moderated treatment effects on anxiety. Reductions in anxiety symptoms at follow-up were mediated by improvements in sleep at post-intervention (% mediated = 84 %), suggesting a causal pathway. LIMITATIONS Participants did not have a formal anxiety disorder diagnosis and so the effects of dCBT for insomnia on anxiety may differ by anxiety disorder. CONCLUSIONS Addressing sleep using dCBT for insomnia may serve as a treatment target from which to improve anxiety in individuals with insomnia and clinically significant comorbid anxiety. CLINICAL TRIAL REGISTRATIONS Digital Insomnia therapy to Assist your Life as well as your Sleep (DIALS) - ISRCTN60530898 http://www.isrctn.com/ISRCTN60530898. Oxford Access for Students Improving Sleep (OASIS) - ISRCTN61272251 http://www.isrctn.com/ISRCTN61272251.
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Affiliation(s)
- Alasdair L Henry
- Big Health Ltd., London, UK/San Francisco, USA; Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
| | - Christopher B Miller
- Big Health Ltd., London, UK/San Francisco, USA; Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Bryony Sheaves
- Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Oxford, UK
| | - Daniel Freeman
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, Netherlands; Trimbos Institute, The Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands
| | - Colin A Espie
- Big Health Ltd., London, UK/San Francisco, USA; Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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11
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Zhao N, Zhao YJ, An F, Zhang Q, Sha S, Su Z, Cheung T, Jackson T, Zang YF, Xiang YT. Network analysis of comorbid insomnia and depressive symptoms among psychiatric practitioners during the COVID-19 pandemic. J Clin Sleep Med 2023; 19:1271-1279. [PMID: 36988299 PMCID: PMC10315603 DOI: 10.5664/jcsm.10586] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/30/2023]
Abstract
STUDY OBJECTIVES Insomnia and depression are common mental health problems reported by mental health professionals during the COVID-19 pandemic. Network analysis is a fine-grained approach used to examine associations between psychiatric syndromes at a symptom level. This study was designed to elucidate central symptoms and bridge symptoms of a depression-insomnia network among psychiatric practitioners in China. The identification of particularly important symptoms via network analysis provides an empirical foundation for targeting specific symptoms when developing treatments for comorbid insomnia and depression within this population. METHODS A total of 10,516 psychiatric practitioners were included in this study. The Insomnia Severity Index (ISI) and 9-item Patient Health Questionnaire (PHQ-9) were used to estimate prevalence rates of insomnia and depressive symptoms, respectively. Analyses also generated a network model of insomnia and depression symptoms in the sample. RESULTS Prevalence rates of insomnia (ISI total score ≥8), depression (PHQ-9 total score ≥5) and comorbid insomnia and depression were 22.2% (95% confidence interval: 21.4-22.9%), 28.5% (95% confidence interval: 27.6-29.4%), and 16.0% (95% confidence interval: 15.3-16.7%), respectively. Network analysis revealed that "Distress caused by sleep difficulties" (ISI7) and "Sleep maintenance" (ISI2) had the highest strength centrality, followed by "Motor dysfunction" (PHQ8) and "Sad mood" (PHQ2). Furthermore, the nodes "Sleep dissatisfaction" (ISI4), "Fatigue" (PHQ4), and "Motor dysfunction" (PHQ8) had the highest bridge strengths in linking depression and insomnia communities. CONCLUSIONS Both central and bridge symptoms (ie, Distress caused by sleep difficulties, Sleep maintenance, Motor dysfunction, Sad mood, Sleep dissatisfaction, and Fatigue) should be prioritized when testing preventive measures and specific treatments to address comorbid insomnia and depression among psychiatric practitioners during the COVID-19 pandemic. CITATION Zhao N, Zhao Y-J, An F, et al. Network analysis of comorbid insomnia and depressive symptoms among psychiatric practitioners during the COVID-19 pandemic. J Clin Sleep Med. 2023;19(7):1271-1279.
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Affiliation(s)
- Na Zhao
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao Special Administrative Region (SAR), China
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
| | - Yan-Jie Zhao
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao Special Administrative Region (SAR), China
- Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China
- Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China
| | - Fengrong An
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University & Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qinge Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University & Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University & Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao SAR, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao Special Administrative Region (SAR), China
- Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China
- Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China
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12
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Boland EM, Goldschmied JR, Gehrman PR. Does insomnia treatment prevent depression? Sleep 2023; 46:zsad104. [PMID: 37029781 PMCID: PMC10262035 DOI: 10.1093/sleep/zsad104] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/21/2023] [Indexed: 04/09/2023] Open
Abstract
Rates of major depressive disorder (MDD) are increasing globally, in part due to the coronavirus disease 2019 pandemic, contributing to disease burden. It has long been known that insomnia is intricately connected with depression as indicated by greater depression severity and lower treatment response. Furthermore, insomnia is a significant risk factor for new-onset depression. Treatment of insomnia is thus a logical target for prevention of incidents and recurrent MDD. This systematic review sought to evaluate the current evidence for the preventive effects of insomnia treatment on depression onset. A database search yielded 186 studies, six of which met criteria for inclusion in this review. All of the studies utilized cognitive behavioral treatment for insomnia (CBT-I) as the target intervention and most delivered treatment via a digital platform. Four of the studies found significantly lower rates of MDD onset in those who received CBT-I compared to a control condition. The two remaining studies failed to confirm these effects in primary analyses but secondary analyses suggested evidence of a preventive effect. There was significant methodologic heterogeneity across studies in terms of sample selection, outcomes, and follow-up periods, limiting the ability to draw firm conclusions. The evidence overall is in the direction of insomnia treatment reducing the risk for onset of MDD, but further research is warranted.
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Affiliation(s)
- Elaine M Boland
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Cpl. Michael J. Crescenz VA Medical Center, Mental Illness Research Education and Clinical Center, Philadelphia, PA, USA
| | - Jennifer R Goldschmied
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Philip R Gehrman
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Cpl. Michael J. Crescenz VA Medical Center, Mental Illness Research Education and Clinical Center, Philadelphia, PA, USA
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13
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Chan CS, Wong CYF, Yu BYM, Hui VKY, Ho FYY, Cuijpers P. Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: a parallel-group randomized controlled trial. Psychol Med 2023; 53:1799-1813. [PMID: 37310329 DOI: 10.1017/s0033291721003421] [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] [Indexed: 01/20/2023]
Abstract
BACKGROUND Despite its efficacy in treating comorbid insomnia and depression, cognitive behavioral therapy for insomnia (CBT-I) is limited in its accessibility and, in many countries, cultural compatibility. Smartphone-based treatment is a low-cost, convenient alternative modality. This study evaluated a self-help smartphone-based CBT-I in alleviating major depression and insomnia. METHODS A parallel-group randomized, waitlist-controlled trial was conducted with 320 adults with major depression and insomnia. Participants were randomized to receive either a 6-week CBT-I via a smartphone application, proACT-S, or waitlist condition. The primary outcomes included depression severity, insomnia severity, and sleep quality. The secondary outcomes included anxiety severity, subjective health, and acceptability of treatment. Assessments were administered at baseline, post-intervention (week 6) follow-up, and week 12 follow-up. The waitlist group received treatment after the week 6 follow-up. RESULTS Intention to treat analysis was conducted with multilevel modeling. In all but one model, the interaction between treatment condition and time at week 6 follow-up was significant. Compared with the waitlist group, the treatment group had lower levels of depression [Center for Epidemiologic Studies Depression Scale (CES-D): Cohen's d = 0.86, 95% CI (-10.11 to -5.37)], insomnia [Insomnia Severity Index (ISI): Cohen's d = 1.00, 95% CI (-5.93 to -3.53)], and anxiety [Hospital Anxiety and Depression Scale - Anxiety subscale (HADS-A): Cohen's d = 0.83, 95% CI (-3.75 to -1.96)]. They also had better sleep quality [Pittsburgh Sleep Quality Index (PSQI): Cohen's d = 0.91, 95% CI (-3.34 to -1.83)]. No differences across any measures were found at week 12, after the waitlist control group received the treatment. CONCLUSION proACT-S is an efficacious sleep-focused self-help treatment for major depression and insomnia. TRIAL REGISTRATION ClinicalTrials.gov, NCT04228146. Retrospectively registered on 14 January 2020. http://www.w3.org/1999/xlink">https://clinicaltrials.gov/ct2/show/NCT04228146.
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Affiliation(s)
| | | | | | | | | | - Pim Cuijpers
- Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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14
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Lee S, Oh JW, Park KM, Lee S, Lee E. Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis. NPJ Digit Med 2023; 6:52. [PMID: 36966184 PMCID: PMC10039857 DOI: 10.1038/s41746-023-00800-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 03/10/2023] [Indexed: 03/27/2023] Open
Abstract
Despite research into the development of digital cognitive behavioral therapy for insomnia (dCBT-I), research into the outcomes of dCBT-I on insomnia and the associated clinical conditions of depression and anxiety have been limited. The PubMed, PsycINFO (Ovid), Embase, and Cochrane databases were searched for randomized controlled trials (RCTs) on adult patients with insomnia also having reported measures of depressive or anxiety symptoms. In total, 2504 articles were identified after duplicate removal, and 22 RCTs were included in the final meta-analysis. At the post-treatment assessment, the dCBT-I group had a small to moderate effect in alleviating depressive (standardized mean difference (SMD) = -0.42; 95% CI: -0.56, -0.28; p < 0.001; k = 21) and anxiety symptoms (SMD = -0.29; 95% CI: -0.40, -0.19; p < 0.001; k = 18), but had a large effect on sleep outcome measures (SMD = -0.76; 95% CI: -0.95, -0.57; p < 0.001; k = 22). When considering treatment adherence, the treatment effects of those in the high adherent groups identified a more robust outcome, showing greater effect sizes than those in the low adherent groups for depression, anxiety, and sleep outcomes. Furthermore, additional subgroup analysis on studies that have used the fully automated dCBT-I treatment without the support of human therapists reported significant treatment effects for depression, anxiety, and sleep outcomes. The results demonstrated that digital intervention for insomnia yielded significant effects on alleviating depressive and anxiety symptoms as well as insomnia symptoms. Specifically, the study demonstrated significant effects on the above symptoms when considering treatment adherence and implementing fully automated dCBT-I.
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Affiliation(s)
- Suonaa Lee
- Department of Psychiatry and the Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae Won Oh
- Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Kyung Mee Park
- Department of Psychiatry and the Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - San Lee
- Department of Psychiatry and the Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea.
| | - Eun Lee
- Department of Psychiatry and the Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea.
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15
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Vollert B, Müller L, Jacobi C, Trockel M, Beintner I. Effectiveness of an App-Based Short Intervention to Improve Sleep: Randomized Controlled Trial. JMIR Ment Health 2023; 10:e39052. [PMID: 36943337 PMCID: PMC10131838 DOI: 10.2196/39052] [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: 05/30/2022] [Revised: 09/15/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND A growing body of evidence for digital interventions to improve sleep shows promising effects. The interventions investigated so far have been primarily web-based; however, app-based interventions may reach a wider audience and be more suitable for daily use. OBJECTIVE This study aims to evaluate the intervention effects, adherence, and acceptance of an unguided app-based intervention for individuals who wish to improve their sleep. METHODS In a randomized controlled trial, we evaluated the effects of an app-based short intervention (Refresh) to improve sleep compared with a waitlist condition. Refresh is an 8-week unguided intervention covering the principles of cognitive behavioral therapy for insomnia (CBT-I) and including a sleep diary. The primary outcome was sleep quality (insomnia symptoms) as self-assessed by the Regensburg Insomnia Scale (RIS). The secondary outcomes were depression (9-item Patient Health Questionnaire [PHQ-9] score) and perceived insomnia-related impairment. RESULTS We included 371 participants, of which 245 reported poor sleep at baseline. About 1 in 3 participants who were allocated to the intervention group never accessed the intervention. Active participants completed on average 4 out of 8 chapters. Retention rates were 67.4% (n=250) at postassessment and 57.7% (n=214) at the 6-month follow-up. At postintervention, insomnia symptoms in the intervention group had improved more than those in the waitlist group, with a small effect (d=0.26) in the whole sample and a medium effect (d=0.45) in the subgroup with poor sleep. Effects in the intervention group were maintained at follow-up. Perceived insomnia-related impairment also improved from pre- to postassessment. No significant intervention effect on depression was detected. Working alliance and acceptance were moderate to good. CONCLUSIONS An app-based, unguided intervention is a feasible and effective option to scale-up CBT-I-based treatment, but intervention uptake and adherence need to be carefully addressed. TRIAL REGISTRATION ISRCTN Registry ISRCTN53553517; https://www.isrctn.com/ISRCTN53553517.
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Affiliation(s)
- Bianka Vollert
- Department of Clinical Psychology and Psychotherapy, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Luise Müller
- Department of Clinical Psychology and Psychotherapy, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Corinna Jacobi
- Department of Clinical Psychology and Psychotherapy, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Mickey Trockel
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Ina Beintner
- Department of Clinical Psychology and Psychotherapy, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
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16
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Deng W, M J J van der Kleij R, Shen H, Wei J, Brakema EA, Guldemond N, Song X, Li X, van Tol MJ, Aleman A, Chavannes NH. eHealth-Based Psychosocial Interventions for Adults With Insomnia: Systematic Review and Meta-analysis of Randomized Controlled Trials. J Med Internet Res 2023; 25:e39250. [PMID: 36917145 PMCID: PMC10131777 DOI: 10.2196/39250] [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: 05/11/2022] [Revised: 09/23/2022] [Accepted: 10/07/2022] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Worldwide, insomnia remains a highly prevalent public health problem. eHealth presents a novel opportunity to deliver effective, accessible, and affordable insomnia treatments on a population-wide scale. However, there is no quantitative integration of evidence regarding the effectiveness of eHealth-based psychosocial interventions on insomnia. OBJECTIVE We aimed to evaluate the effectiveness of eHealth-based psychosocial interventions for insomnia and investigate the influence of specific study characteristics and intervention features on these effects. METHODS We searched PubMed, Embase, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials from database inception to February 16, 2021, for publications investigating eHealth-based psychosocial interventions targeting insomnia and updated the search of PubMed to December 6, 2021. We also screened gray literature for unpublished data. Eligible studies were randomized controlled trials of eHealth-based psychosocial interventions targeting adults with insomnia. Random-effects meta-analysis models were used to assess primary and secondary outcomes. Primary outcomes were insomnia severity and sleep quality. Meta-analyses were performed by pooling the effects of eHealth-based psychosocial interventions on insomnia compared with inactive and in-person conditions. We performed subgroup analyses and metaregressions to explore specific factors that affected the effectiveness. Secondary outcomes included sleep diary parameters and mental health-related outcomes. RESULTS Of the 19,980 identified records, 37 randomized controlled trials (13,227 participants) were included. eHealth-based psychosocial interventions significantly reduced insomnia severity (Hedges g=-1.01, 95% CI -1.12 to -0.89; P<.001) and improved sleep quality (Hedges g=-0.58, 95% CI -0.75 to -0.41; P<.001) compared with inactive control conditions, with no evidence of publication bias. We found no significant difference compared with in-person treatment in alleviating insomnia severity (Hedges g=0.41, 95% CI -0.02 to 0.85; P=.06) and a significant advantage for in-person treatment in enhancing sleep quality (Hedges g=0.56, 95% CI 0.24-0.88; P<.001). eHealth-based psychosocial interventions had significantly larger effects (P=.01) on alleviating insomnia severity in clinical samples than in subclinical samples. eHealth-based psychosocial interventions that incorporated guidance from trained therapists had a significantly greater effect on insomnia severity (P=.05) and sleep quality (P=.02) than those with guidance from animated therapists or no guidance. Higher baseline insomnia severity and longer intervention duration were associated with a larger reduction in insomnia severity (P=.004). eHealth-based psychosocial interventions significantly improved each secondary outcome. CONCLUSIONS eHealth interventions for insomnia are effective in improving sleep and mental health and can be considered a promising treatment for insomnia. Our findings support the wider dissemination of eHealth interventions and their further promotion in a stepped-care model. Offering blended care could improve treatment effectiveness. Future research needs to elucidate which specific intervention components are most important to achieve intervention effectiveness. Blended eHealth interventions may be tailored to benefit people with low socioeconomic status, limited access to health care, or lack of eHealth literacy.
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Affiliation(s)
- Wenrui Deng
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.,Department of Medical Psychology, School of Mental Health and Psychological Science, Anhui Medical University, Hefei, China.,Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | | | - Hongxia Shen
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands.,School of Nursing, Guangzhou Medical University, Guangzhou, China
| | - Junjie Wei
- Department of Medical Psychology, School of Mental Health and Psychological Science, Anhui Medical University, Hefei, China
| | - Evelyn A Brakema
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Nick Guldemond
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Xiaoyue Song
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Xiaoming Li
- Department of Medical Psychology, School of Mental Health and Psychological Science, Anhui Medical University, Hefei, China
| | - Marie-José van Tol
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | - André Aleman
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | - Niels H Chavannes
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
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17
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Do better nights lead to better days? Guided internet-based cognitive behavioral therapy for insomnia in people suffering from a range of mental health problems: Protocol of a pragmatic randomized clinical trial. Contemp Clin Trials 2023; 127:107122. [PMID: 36813085 DOI: 10.1016/j.cct.2023.107122] [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: 12/09/2022] [Revised: 02/10/2023] [Accepted: 02/14/2023] [Indexed: 02/22/2023]
Abstract
BACKGROUND Insomnia is the transdiagnostically shared most common complaint in disorders of anxiety, stress and emotion regulation. Current cognitive behavioral therapies (CBT) for these disorders do not address sleep, while good sleep is essential for regulating emotions and learning new cognitions and behaviours: the core fundaments of CBT. This transdiagnostic randomized control trial (RCT) evaluates whether guided internet-delivered cognitive behavioral therapy for insomnia (iCBT-I) (1) improves sleep, (2) affects the progression of emotional distress and (3) enhances the effectiveness of regular treatment of people with clinically relevant symptoms of emotional disorders across all mental health care (MHC) echelons. METHODS We aim for 576 completers with clinically relevant symptoms of insomnia as well as at least one of the dimensions of generalized anxiety disorder (GAD), social anxiety disorder (SAD), panic disorder (PD), posttraumatic stress disorder (PTSD) or borderline personality disorder (BPD). Participants are either pre-clinical, unattended, or referred to general- or specialized MHC. Using covariate-adaptive randomization, participants will be assigned to a 5 to 8-week iCBT-I (i-Sleep) or a control condition (sleep diary only) and assessed at baseline, and after two and eight months. The primary outcome is insomnia severity. Secondary outcomes address sleep, severity of mental health symptoms, daytime functioning, mental health protective lifestyles, well-being, and process evaluation measures. Analyses use linear mixed-effect regression models. DISCUSSION This study can reveal for whom, and at which stage of disease progression, better nights could mean substantially better days. TRIAL REGISTRATION International Clinical Trial Registry Platform (NL9776). Registered on 2021-10-07.
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18
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Cuijpers P, Miguel C, Ciharova M, Quero S, Plessen CY, Ebert D, Harrer M, van Straten A, Karyotaki E. Psychological treatment of depression with other comorbid mental disorders: systematic review and meta-analysis. Cogn Behav Ther 2023; 52:246-268. [PMID: 36718645 DOI: 10.1080/16506073.2023.2166578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Most people with a mental disorder meet criteria for multiple disorders. We conducted a systematic review and meta-analysis of randomized trials comparing psychotherapies for people with depression and comorbid other mental disorders with non-active control conditions. We identified studies through an existing database of randomized trials on psychotherapies for depression. Thirty-five trials (3,157 patients) met inclusion criteria. Twenty-seven of the 41 interventions in the 35 trials (66%) were based on CBT. The overall effect on depression was large (g = 0.65; 95% CI: 0.40 ~ 0.90), with high heterogeneity (I2 = 78%; 95% CI: 70 ~ 83). The ten studies in comorbid anxiety showed large effects on depression (g = 0.90; 95% CI: 0.30 ~ 1.51) and anxiety (g = 1.01; 95% CI: 0.28 ~ 1.74). For comorbid insomnia (11 comparisons) a large and significant effect on depression (g = 0.99; 95% CI: 0.16 ~ 1.82) and insomnia (g = 1.38; 95% CI: 0.38 ~ 2.38) were found. For comorbid substance use problems (12 comparisons) effects on depression (g = 0.25; 95% CI: 0.06 ~ 0.43) and on substance use problems (g = 0.25; 95% CI: 0.01 ~ 0.50) were significant. Most effects were no longer significant after adjustment for publication bias and when limited to studies with low risk of bias. Therapies are probably effective in the treatment of depression with comorbid anxiety, insomnia, and substance use problems.
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Affiliation(s)
- Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands.,WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands
| | - Clara Miguel
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands
| | - Marketa Ciharova
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands
| | - Soledad Quero
- Department of Basic, Clinical Psychology and Psychobiology, Universitat Jaume I, Avda. Vicente Sos Baynat s/n, Castellón de la Plana 12071, Spain.,CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Carlos III Institute of Health, C/Monforte de Lemos 3, Pb 11, Madrid 28029, Spain
| | - Constantin Yves Plessen
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands
| | - David Ebert
- Psychology & Digital Mental Health Care, Technische Universität München, Connollystraße 32, Munich 80809, Germany
| | - Mathias Harrer
- Psychology & Digital Mental Health Care, Technische Universität München, Connollystraße 32, Munich 80809, Germany.,Clinical Psychology & Psychotherapy, Universität Erlangen-Nürnberg, Nägelsbachstr. 25a, Erlangen 91052, Germany
| | - Annemieke van Straten
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands
| | - Eirini Karyotaki
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands.,WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, Amsterdam 1081 BT, The Netherlands
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19
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Schotanus AY, Dozeman E, Ikelaar SLC, van Straten A, Beekman ATF, van Nassau F, Bosmans JE, van Schaik A. Internet-delivered cognitive behavioural therapy for insomnia disorder in depressed patients treated at an outpatient clinic for mood disorders: protocol of a randomised controlled trial. BMC Psychiatry 2023; 23:75. [PMID: 36707843 PMCID: PMC9880372 DOI: 10.1186/s12888-022-04492-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 12/22/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Major depression is a highly prevalent disorder causing severe personal distress, and high societal costs. Patients with depression often have comorbid insomnia disorder (ID) leading to even worse personal distress and worse treatment outcomes. Recent results from a non-randomised pilot study with internet-delivered Cognitive Behavioural Therapy (CBTi) for Insomnia (I-Sleep) added to regular depression care were promising regarding feasibility and initial effects on insomnia complaints and depression. However, no randomised controlled trial (RCT) has been performed yet to access the (cost-) effectiveness of I-Sleep for depression. Therefore, this protocol article presents the design of an RCT aimed to assess the (cost-) effectiveness of I-Sleep in addition to usual care for depression compared to usual care alone in depressed patients with a comorbid Insomnia Disorder (ID) treated at outpatient clinics for mood disorders. METHODS /DESIGN: This is a multi-centre RCT with measurements at baseline and at 3, 6, 9, and 12 months of follow-up. Patients with depression and an ID are randomised to either I-Sleep treatment followed by regular depression care or to regular depression care alone. Our aim is to recruit one hundred and seventy-five patients from multiple outpatient clinics for mood disorders. The primary outcome is the change in depressive symptoms over 12 months of follow-up measured with the Patient Health Questionnaire (PHQ-9). Secondary outcomes are recovery from depression (PHQ-9), insomnia severity (Insomnia Severity Index, ISI), daily functioning (Work and Social Adjustment Scale, WSAS), general quality of life (EuroQol 5-level version, EQ-5D-5L), and societal costs (Adapted versions of the iMTA Productivity Cost Questionnaire, iPCQ and iMTA Medical Cost Questionnaire, iMCQ). DISCUSSION We hypothesize that the addition of I-Sleep to usual care will result in a significant improvement in depression treatment outcomes and quality of life as well as a decrease in healthcare and societal costs compared to usual care alone. This study is the first pragmatic RCT evaluating the effectiveness and cost-effectiveness of adding CBTi to usual care for depression. TRIAL REGISTRATION Netherlands Trial Register (NL8955). Registered on October 6th2020. https://trialsearch.who.int/Trial2.aspx?TrialID=NL8955.
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Affiliation(s)
- A. Y. Schotanus
- grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialized Mental Health Care, Amsterdam, The Netherlands ,grid.12380.380000 0004 1754 9227Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands ,Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands ,grid.16872.3a0000 0004 0435 165XDepartment of Health Sciences, Faculty of Science, VU University Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - E. Dozeman
- grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialized Mental Health Care, Amsterdam, The Netherlands ,grid.12380.380000 0004 1754 9227Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands ,Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands
| | - S. L. C. Ikelaar
- grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialized Mental Health Care, Amsterdam, The Netherlands
| | - A. van Straten
- grid.12380.380000 0004 1754 9227Department of Clinical-, Neuro- and Developmental Psychology, Faculty of Behavioural and Movement Sciences, VU University Amsterdam, Amsterdam, The Netherlands
| | - A. T. F. Beekman
- grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialized Mental Health Care, Amsterdam, The Netherlands ,grid.12380.380000 0004 1754 9227Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands ,Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands
| | - F. van Nassau
- grid.16872.3a0000 0004 0435 165XDepartment of Public and Occupational Health, Amsterdam UMC, VU University Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - J. E. Bosmans
- grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialized Mental Health Care, Amsterdam, The Netherlands ,Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands ,grid.16872.3a0000 0004 0435 165XDepartment of Health Sciences, Faculty of Science, VU University Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - A. van Schaik
- grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialized Mental Health Care, Amsterdam, The Netherlands ,grid.12380.380000 0004 1754 9227Department of Psychiatry, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands ,Amsterdam Public Health, Mental Health Program, Amsterdam, The Netherlands
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20
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Li Y, Nazari N, Sadeghi M. Internet delivered, non-inferiority, two-arm, assessor-blinded intervention comparing mindfulness-based stress reduction and cognitive-behavioral treatment for insomnia: a protocol study for a randomized controlled trial for nursing staff with insomnia. Trials 2022; 23:1020. [PMID: 36527137 PMCID: PMC9756716 DOI: 10.1186/s13063-022-06986-3] [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: 06/19/2022] [Accepted: 12/06/2022] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Insomnia and poor sleep quality are highly prevalent conditions related to coronavirus disease 2019 (COVID-19) complications among clinical nurses. Although cognitive behavioral therapy for insomnia (CBT-I) is a first-line treatment, CBT-I suffers from several major drawbacks. This study investigates whether the application of the internet-delivered mindfulness-based stress reduction (iMBSR) intervention will produce effects that are non-inferior to the internet-delivered CBT-I (iCBT-I) intervention in reducing the severity of insomnia in clinical nurses with insomnia at the end of the study. METHODS This study protocol presents an internet-delivered, parallel-groups, assessor-blinded, two-arm, non-inferiority randomized controlled trial. The primary outcome is sleep quality, assessed by the Insomnia Severity Index. Secondary outcomes include depression, dysfunctional beliefs, five facets of mindfulness, and client satisfaction. CONCLUSION It is expected that this study may address several gaps in the literature. The non-inferiority study design is a novel approach to evaluating whether a standardized, complementary treatment (i.e., MBSR) is as practical as a gold standard treatment rather than its potential benefits. This approach may lead to expanded evidence-based practice and improve patient access to effective treatments. TRIAL REGISTRATION Trial registration number: ISRCTN36198096 . Registered on 24th May 2022.
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Affiliation(s)
- Yaling Li
- grid.499351.30000 0004 6353 6136Mental Health Education and Counseling Center, Shenzhen Technology University, Shenzhen, 518118 Guangdong China
| | - Nabi Nazari
- grid.411406.60000 0004 1757 0173Department of Psychology, Faculty of Human Sciences, Lorestan University, Khorramabad, Iran
| | - Masoud Sadeghi
- grid.411406.60000 0004 1757 0173Department of Psychology, Faculty of Human Sciences, Lorestan University, Khorramabad, Iran
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21
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Yun B, Sim J, Oh J, Kim Y, Yoon JH. The significant association between quick return and depressive symptoms and sleep disturbances in paid workers: A nationwide survey. Front Public Health 2022; 10:990276. [PMID: 36299768 PMCID: PMC9592117 DOI: 10.3389/fpubh.2022.990276] [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: 07/09/2022] [Accepted: 09/26/2022] [Indexed: 01/26/2023] Open
Abstract
Objectives Although many studies have examined the association between shift work and depression or insomnia, few studies have examined the relationship between quick return (QR) to work and depressive symptoms, regardless of shift work. Thus, in this study, we aimed to assess the association between depressive symptoms (DS)/sleep disturbances (SDs) and QR. Methods Data from the 6th Korean Working Conditions Survey (2020) were used for this study. Paid workers aged between 20 and 65 years were included. DS were defined using the World Health Organization Well-Being Index (WHO-5) with a cut-off 50, and SD was defined as the occurrence of the following symptoms several times per month: difficulty in falling asleep, waking up in the middle of the night, or feeling tired even after waking up. QR was defined as "at least one case where the working interval between leaving work and the next day's work was < 11 h in the past month." Multivariable logistic regression was performed to estimate the adjusted odd ratios (aORs) and 95% confidence intervals (CIs). Mediation analysis was conducted to examine whether SD was a significant mediator in the association between QR and DS. Results Among the 27,554 participants, DS occurred in 8,277 patients, while SD occurred in 6,264 patients. The aORs (95% CIs) of DS and SD by QR were 2.01 (1.78-2.27) and 3.24 (2.87-3.66), respectively, after adjusting for age, gender, income, education, working hours, job status, working duration, region, shift work, and occupation. SD was a significant mediator in the association between QR and DS. Conclusion QR is significantly associated with DS or SD regardless of demographic factors and the working environment. The significant relationship between QR and DS may be mediated by SD.
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Affiliation(s)
- Byungyoon Yun
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Juho Sim
- Department of Public Health, Graduate School, Yonsei University, Seoul, South Korea
| | - Juyeon Oh
- Department of Public Health, Graduate School, Yonsei University, Seoul, South Korea
| | - Yangwook Kim
- Department of Public Health, Graduate School, Yonsei University, Seoul, South Korea
| | - Jin-Ha Yoon
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea,The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, South Korea,*Correspondence: Jin-Ha Yoon
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22
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Børtveit L, Dechsling A, Sütterlin S, Nordgreen T, Nordahl-Hansen A. Guided Internet-Delivered Treatment for Depression: Scoping Review. JMIR Ment Health 2022; 9:e37342. [PMID: 36194467 PMCID: PMC9579933 DOI: 10.2196/37342] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/01/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder. OBJECTIVE The aim of this study was to provide an overview of this research area and identify potential gaps in the research. METHODS In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition. RESULTS A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion. CONCLUSIONS This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.
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Affiliation(s)
- Line Børtveit
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Health Sciences, Department of Behavioral Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Anders Dechsling
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
| | - Stefan Sütterlin
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Computer Science, Albstadt-Sigmaringen University, Sigmaringen, Germany
| | - Tine Nordgreen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Departement of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Anders Nordahl-Hansen
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
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23
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van Trigt S, van der Zweerde T, van Someren E, van Straten A, van Marle H. Guided internet-based cognitive behavioral therapy for insomnia in patients with borderline personality disorder: Study protocol for a randomized controlled trial. Internet Interv 2022; 29:100563. [PMID: 35899204 PMCID: PMC9310106 DOI: 10.1016/j.invent.2022.100563] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/12/2022] [Accepted: 07/16/2022] [Indexed: 11/14/2022] Open
Abstract
Borderline personality disorder (BPD) is a highly disabling psychiatric disorder with emotion dysregulation at its core, resulting in affective instability, impulsivity and sometimes self-harming or suicidal behavior. Sleep is increasingly recognized to play a crucial role in emotion regulation. BPD patients often suffer from (severe) insomnia, potentially aggravating symptoms and preventing recovery from BPD. Yet, the effects of insomnia treatments have not been investigated in context of BPD. Guided internet-based cognitive behavioral therapy for insomnia (iCBT-I; i-Sleep) has been proven effective in improving both insomnia and affective symptoms. In this randomized controlled trial among 96 patients with a DSM-5 diagnosis of BPD (or other personality disorder with ≥4 BPD traits) and insomnia symptoms, we will test the effectiveness of iCBT-I before regular BPD treatment starts, during the waitlist period, on BPD symptoms. Patients in the control group monitor their sleep through a sleep diary during the waitlist period and also receive standard BPD treatment after that. Using linear mixed models we will test the hypothesis that the iCBT-I group improves more than the control group on BPD symptoms (primary outcome), insomnia severity, additional subjective and objective sleep variables, emotion regulation, comorbid anxiety and depression complaints, and quality of life. These effects are thought to arise from a direct effect of improved sleep on emotion regulation and a synergistic effect on the consolidation and internalization of the BPD treatment effect. To our knowledge, this is the first trial assessing effectiveness of CBT-I in patients with BPD (traits). The accessibility of the studied intervention greatly facilitates clinical implication in case of positive results.
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Affiliation(s)
- S. van Trigt
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands,Amsterdam Public Health, Mental Health Program, Amsterdam, the Netherlands,Corresponding author at: Amsterdam UMC, location Vrije Universiteit Amsterdam, Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - T. van der Zweerde
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands,GGZ inGeest Mental Health Care, Amsterdam, the Netherlands
| | - E.J.W. van Someren
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands,Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, the Netherlands,Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam, the Netherlands
| | - A. van Straten
- Amsterdam Public Health, Mental Health Program, Amsterdam, the Netherlands,Vrije Universiteit Amsterdam, Clinical, Neuro and Developmental Psychology, Amsterdam, the Netherlands
| | - H.J.F. van Marle
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Psychiatry, De Boelelaan 1117, Amsterdam, the Netherlands,GGZ inGeest Mental Health Care, Amsterdam, the Netherlands,Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, the Netherlands
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24
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Mijnster T, Boersma GJ, Meijer E, Lancel M. Effectivity of (Personalized) Cognitive Behavioral Therapy for Insomnia in Mental Health Populations and the Elderly: An Overview. J Pers Med 2022; 12:jpm12071070. [PMID: 35887566 PMCID: PMC9319701 DOI: 10.3390/jpm12071070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 11/16/2022] Open
Abstract
Insomnia is very prevalent in psychiatry and is considered a transdiagnostic symptom of mental disorders. Yet, it is not only a consequence of a mental condition but may also exert detrimental effects on psychiatric symptom severity and therapeutic response; thus, adequate insomnia treatment is particularly important in psychiatric populations. The first choice of intervention is cognitive behavioral therapy for insomnia (CBT-I) as it is rather effective, also in the long run without side effects. It is offered in various forms, ranging from in-person therapy to internet-delivered applications. CBT-I protocols are typically developed for individuals with insomnia disorder without co-occurring conditions. For an optimal therapeutic outcome of CBT-I in individuals with comorbid mental disorders, adaptations of the protocol to tailor the treatment might be beneficial. Based on a literature search using major search engines (Embase; Medline; APA Psych Info; and Cochrane Reviews), this paper provides an overview of the effectiveness of the different CBT-I applications in individuals with diverse comorbid mental conditions and older adults and describes the functionality of CBT-I protocols that have been personalized to specific psychiatric populations, such as depression, substance abuse, and schizophrenia spectrum disorder. Finally, we discuss urgent needs for insomnia therapy targeted to improve both sleep and psychopathologies.
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Affiliation(s)
- Teus Mijnster
- Centre of Expertise on Sleep and Psychiatry, GGZ Drenthe, Mental Health Institute, 9404 LA Assen, The Netherlands; (T.M.); (G.J.B.); (E.M.)
| | - Gretha J. Boersma
- Centre of Expertise on Sleep and Psychiatry, GGZ Drenthe, Mental Health Institute, 9404 LA Assen, The Netherlands; (T.M.); (G.J.B.); (E.M.)
- Forensic Psychiatric Hospital, GGZ Drenthe, Mental Health Institute, 9404 LA Assen, The Netherlands
| | - Esther Meijer
- Centre of Expertise on Sleep and Psychiatry, GGZ Drenthe, Mental Health Institute, 9404 LA Assen, The Netherlands; (T.M.); (G.J.B.); (E.M.)
| | - Marike Lancel
- Centre of Expertise on Sleep and Psychiatry, GGZ Drenthe, Mental Health Institute, 9404 LA Assen, The Netherlands; (T.M.); (G.J.B.); (E.M.)
- Forensic Psychiatric Hospital, GGZ Drenthe, Mental Health Institute, 9404 LA Assen, The Netherlands
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, 9712 TS Groningen, The Netherlands
- Correspondence:
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25
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Leerssen J, Lakbila-Kamal O, Dekkers LMS, Ikelaar SLC, Albers ACW, Blanken TF, Lancee J, van der Lande GJM, Maksimovic T, Mastenbroek SE, Reesen JE, van de Ven S, van der Zweerde T, Foster-Dingley JC, Van Someren EJW. Treating Insomnia with High Risk of Depression Using Therapist-Guided Digital Cognitive, Behavioral, and Circadian Rhythm Support Interventions to Prevent Worsening of Depressive Symptoms: A Randomized Controlled Trial. PSYCHOTHERAPY AND PSYCHOSOMATICS 2022; 91:168-179. [PMID: 34872087 DOI: 10.1159/000520282] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/16/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION The global disease burden of major depressive disorder urgently requires prevention in high-risk individuals, such as recently discovered insomnia subtypes. Previous studies targeting insomnia with fully automated eHealth interventions to prevent depression are inconclusive: dropout was high and likely biased, and depressive symptoms in untreated participants on average improved rather than worsened. OBJECTIVE This randomized controlled trial aimed to efficiently prevent the worsening of depressive symptoms by selecting insomnia subtypes at high risk of depression for internet-based circadian rhythm support (CRS), cognitive behavioral therapy for insomnia (CBT-I), or their combination (CBT-I+CRS), with online therapist guidance to promote adherence. METHODS Participants with an insomnia disorder subtype conveying an increased risk of depression (n = 132) were randomized to no treatment (NT), CRS, CBT-I, or CBT-I+CRS. The Inventory of Depressive Symptomatology - Self Report (IDS-SR) was self-administered at baseline and at four follow-ups spanning 1 year. RESULTS Without treatment, depressive symptoms indeed worsened (d = 0.28, p = 0.041) in high-risk insomnia, but not in a reference group with low-risk insomnia. Therapist-guided CBT-I and CBT-I+CRS reduced IDS-SR ratings across all follow-up assessments (respectively, d = -0.80, p = 0.001; d = -0.95, p < 0.001). Only CBT-I+CRS reduced the 1-year incidence of clinically meaningful worsening (p = 0.002). Dropout during therapist-guided interventions was very low (8%) compared to previous automated interventions (57-62%). CONCLUSIONS The findings tentatively suggest that the efficiency of population-wide preventive strategies could benefit from the possibility to select insomnia subtypes at high risk of developing depression for therapist-guided digital CBT-I+CRS. This treatment may provide effective long-term prevention of worsening of depressive symptoms. TRIAL REGISTRATION the Netherlands Trial Register (NL7359).
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Affiliation(s)
- Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Oti Lakbila-Kamal
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Laura M S Dekkers
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Savannah L C Ikelaar
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Anne C W Albers
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Tessa F Blanken
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Jaap Lancee
- Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands.,PsyQ Amsterdam, Amsterdam, The Netherlands
| | - Glenn J M van der Lande
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Teodora Maksimovic
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Sophie E Mastenbroek
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Joyce E Reesen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Sjors van de Ven
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Tanja van der Zweerde
- Department of Psychiatry, Amsterdam Public Health, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, The Netherlands.,Specialized Mental Health Care GGZ inGeest, Amsterdam, The Netherlands
| | - Jessica C Foster-Dingley
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
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26
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Vazsonyi AT, Liu D, Blatny M. Longitudinal bidirectional effects between sleep quality and internalizing problems. J Adolesc 2022; 94:448-461. [DOI: 10.1002/jad.12039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/05/2022] [Accepted: 02/23/2022] [Indexed: 11/06/2022]
Affiliation(s)
| | - Dan Liu
- Department of Family Sciences University of Kentucky Lexington Kentucky USA
| | - Marek Blatny
- Department of Psychology Masaryk University Brno Czech Republic
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27
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Goldstein TR, Franzen PL. A Comprehensive Review of the Literature on Sleep Difficulties and Suicidality in Youth to Inform an Integrative Developmental Model and Future Directions. CURRENT SLEEP MEDICINE REPORTS 2022; 8:1-19. [PMID: 36274826 PMCID: PMC9586157 DOI: 10.1007/s40675-022-00222-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/17/2022] [Indexed: 12/16/2022]
Abstract
Purpose of Review Suicide is currently the second leading cause of death among youth. Identification of modifiable near-term risk factors can inform suicide prevention strategies. One promising, readily assessed factor is sleep. We critically review the literature on sleep and suicidal thoughts and behaviors among youth. Recent Findings Most studies examining the youth sleep-suicidality relationship are from epidemiological samples in which both sleep problems and suicidality were assessed over variable timeframes using limited items from scales not designed to measure these constructs. Nonetheless, these data overwhelmingly support an association between suicidality and a range of sleep difficulties (e.g., insomnia, short/long sleep, weekend oversleep), above and beyond depressive symptoms. Limited studies include clinical samples or prospective designs. We review potential mechanisms and present a developmentally-informed integrative model. Summary Literature supports a clear association between sleep difficulties and youth suicidality. Future directions include prospective longitudinal studies and targeted prevention efforts.
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Affiliation(s)
- Tina R Goldstein
- Western Psychiatric Hospital and the Center for Sleep and Circadian Science, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Peter L Franzen
- Western Psychiatric Hospital and the Center for Sleep and Circadian Science, University of Pittsburgh School of Medicine, Pittsburgh, PA
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28
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Mellor A, Kavaliotis E, Mascaro L, Drummond SP. Approaches to the assessment of adherence to CBT-I, predictors of adherence, and the association of adherence to outcomes: A systematic review. Sleep Med Rev 2022; 63:101620. [DOI: 10.1016/j.smrv.2022.101620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 02/17/2022] [Accepted: 02/21/2022] [Indexed: 10/18/2022]
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29
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Affiliation(s)
- Pim Cuijpers
- Department of Clinical, Neuro, and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Charles F Reynolds
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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30
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Indirect prevention and treatment of depression: An emerging paradigm? CLINICAL PSYCHOLOGY IN EUROPE 2021; 3:e6847. [PMID: 36398290 PMCID: PMC9667226 DOI: 10.32872/cpe.6847] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/18/2021] [Indexed: 12/16/2022] Open
Abstract
Background Although depression is one of the main public health challenges of our time, the uptake of interventions aimed at the prevention and treatment is low to modest. New approaches are needed to reduce the disease burden of depression. Method Indirect prevention and treatment may be one method to increase uptake of services. Indirect interventions aim at problems related to depression but with lower stigma and prevent or treat depression indirectly. This paper describes the approach, the empirical support and limitations. Results A growing number of studies focus on indirect prevention and treatment. Several studies have examining the possibilities to prevent and treat depression through interventions aimed at insomnia. Several other studies focus on indirect interventions aimed at for example stress and perfectionism. Digital ‘suites’ of interventions may focus on daily problems of for example students or the workplace and offer a broad range of indirect interventions in specific settings. Conclusion Indirect prevention and treatment may be a new approach to increase uptake and reduce the disease burden of depression. Effective treatments and preventive interventions are available for depression but uptake is low. Indirect prevention and treatment focus on problems related to depression. Uptake of indirect interventions is higher because they focus on daily problems. Indirect interventions may provide a new paradigm for prevention and treatment.
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31
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Bringmann LF, Albers C, Bockting C, Borsboom D, Ceulemans E, Cramer A, Epskamp S, Eronen MI, Hamaker E, Kuppens P, Lutz W, McNally RJ, Molenaar P, Tio P, Voelkle MC, Wichers M. Psychopathological networks: Theory, methods and practice. Behav Res Ther 2021; 149:104011. [PMID: 34998034 DOI: 10.1016/j.brat.2021.104011] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 11/05/2021] [Accepted: 11/27/2021] [Indexed: 12/19/2022]
Abstract
In recent years, network approaches to psychopathology have sparked much debate and have had a significant impact on how mental disorders are perceived in the field of clinical psychology. However, there are many important challenges in moving from theory to empirical research and clinical practice and vice versa. Therefore, in this article, we bring together different points of view on psychological networks by methodologists and clinicians to give a critical overview on these challenges, and to present an agenda for addressing these challenges. In contrast to previous reviews, we especially focus on methodological issues related to temporal networks. This includes topics such as selecting and assessing the quality of the nodes in the network, distinguishing between- and within-person effects in networks, relating items that are measured at different time scales, and dealing with changes in network structures. These issues are not only important for researchers using network models on empirical data, but also for clinicians, who are increasingly likely to encounter (person-specific) networks in the consulting room.
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Affiliation(s)
- Laura F Bringmann
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), P.O. Box 30.001 (CC72), 9700 RB, Groningen, the Netherlands; University of Groningen, Faculty of Behavioural and Social Sciences, Department of Psychometrics and Statistics, Grote Kruisstraat 2/1, 9712 TS, Groningen, the Netherlands.
| | - Casper Albers
- University of Groningen, Faculty of Behavioural and Social Sciences, Department of Psychometrics and Statistics, Grote Kruisstraat 2/1, 9712 TS, Groningen, the Netherlands
| | - Claudi Bockting
- Centre for Urban Mental Health, University of Amsterdam, Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Denny Borsboom
- Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Eva Ceulemans
- KU Leuven, Faculty of Psychology and Educational Sciences, Leuven, Belgium
| | - Angélique Cramer
- RIVM National Institute for Public Health and the Environment, the Netherlands
| | - Sacha Epskamp
- Centre for Urban Mental Health, University of Amsterdam, Amsterdam, the Netherlands; Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Markus I Eronen
- Department of Theoretical Philosophy, University of Groningen, the Netherlands
| | - Ellen Hamaker
- Department of Methodology and Statistics, Utrecht University, the Netherlands
| | - Peter Kuppens
- KU Leuven, Faculty of Psychology and Educational Sciences, Leuven, Belgium
| | - Wolfgang Lutz
- Department of Psychology, University of Trier, Germany
| | | | - Peter Molenaar
- Department of Human Development and Family Studies, The Pennsylvania State University, USA
| | - Pia Tio
- Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands; Department of Methodology and Statistics, Tilburg University, Tilburg, the Netherlands
| | - Manuel C Voelkle
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Marieke Wichers
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), P.O. Box 30.001 (CC72), 9700 RB, Groningen, the Netherlands
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32
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Comparative efficacy of digital cognitive behavioral therapy for insomnia: A systematic review and network meta-analysis. Sleep Med Rev 2021; 61:101567. [PMID: 34902820 DOI: 10.1016/j.smrv.2021.101567] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 12/19/2022]
Abstract
The comparative efficacy of various approaches of digital cognitive behavioral therapy for insomnia (CBTi) is still unclear. This network meta-analysis explored the comparative efficacy of digital CBTi approaches in adults with insomnia. Four electronic databases were searched from inception to June 27, 2020. Primary outcomes were self-reported total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), and insomnia symptoms; these were measured using sleep diaries or valid questionnaires. A random-effects network meta-analysis in a frequentist framework was used. Fifty-four randomized controlled trials comprising 11,815 participants were included. Compared with usual care, web-based CBTi with a therapist demonstrated significantly longer TST (mean difference [MD]: 23.19 min, 95% confidence interval [CI]: 18.98-27.39 min), shorter SOL (MD: -18.76 min, 95% CI -24.20 to -13.31 min), lower WASO (MD: -31.40 min, 95% CI: -36.26 to -26.55 min), and greater SE (MD: 10.37%, 95% CI: 8.08%-12.65%). The surface under the cumulative ranking curve indicates that web-based CBTi with therapists is most likely to be ranked the highest among all treatments, and thus, this network meta-analysis suggests that such a treatment is the optimal intervention for improving sleep duration and SE as well as the reductions in SOL and WASO. PROSPERO REGISTRATION NUMBER: CRD42020171134.
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33
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Cuijpers P, Smit F, Aalten P, Batelaan N, Klein A, Salemink E, Spinhoven P, Struijs S, Vonk P, Wiers RW, de Wit L, Gentili C, Ebert DD, Bruffaerts R, Kessler RC, Karyotaki E. The Associations of Common Psychological Problems With Mental Disorders Among College Students. Front Psychiatry 2021; 12:573637. [PMID: 34646167 PMCID: PMC8502858 DOI: 10.3389/fpsyt.2021.573637] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 08/27/2021] [Indexed: 11/29/2022] Open
Abstract
Psychological problems like procrastination, perfectionism, low self-esteem, test anxiety and stress are common among college students. There are evidence-based interventions available for these problems that not only have direct effects on these problems, but also indirect effects on mental disorders such as depression and anxiety disorders. Targeting these psychological problems may offer new opportunities to prevent and treat mental disorders in a way that is less stigmatizing to students. In this study we examined the association of five psychological problems with five common mental disorders (panic, generalized anxiety, bipolar, major depressive, and substance use disorder) in a sample of 2,449 students from two Dutch universities. Psychological problems were measured with one item for each problem and mental disorders were measured with the Composite International Diagnostic Interview Screening Scales. Associations were examined with Poisson regression models as relative risks (RR) of the disorders as a function of the psychological problems. The population attributable fraction (PAF) indicates by what percentage the prevalence of the mental disorder would be reduced if the psychological problem was addressed successfully by an intervention. Especially generalized anxiety disorder was strongly associated with psychological problems (strong associations with stress and low self-esteem and moderately with test anxiety). The group with three or more psychological problems had a strongly increased risk for generalized anxiety (RR = 11.25; 95% CI: 7.51-16.85), and a moderately increase risk for major depression (RR = 3.22; 95% CI: 2.63-3.95), panic disorder (RR = 3.19; 95% CI: 1.96-5.20) and bipolar disorder (RR = 3.66; 95% CI: 2.40-5.58). The PAFs for having any of the psychological problems (one or more) were considerable, especially for generalized anxiety (60.8%), but also for panic disorder (35.1%), bipolar disorder (30.6%) and major depression (34.0%). We conclude that common psychological problems are associated with mental disorders and with each other. After adjustment, psychological problems are associated with different patterns of mental disorders. If the impact of the psychological problems could be taken away, the prevalence of several mental disorders would be reduced considerably. The psychological problems may provide a promising target to indirectly prevent and intervene in psychopathology in hard to reach college students with mental disorders.
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Affiliation(s)
- Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Filip Smit
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, Netherlands
| | - Pauline Aalten
- UM Student Desk, Student Services Center, Maastricht University, Maastricht, Netherlands
| | - Neeltje Batelaan
- Department of Psychiatry, Amsterdam UMC Location VUmc, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Anke Klein
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Elske Salemink
- Department of Clinical Psychology, Utrecht University, Utrecht, Netherlands
| | - Philip Spinhoven
- Department of Psychiatry, Leiden University Medical Center, Institute of Psychology, Leiden University, Leiden, Netherlands
| | - Sascha Struijs
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Psychiatry, Leiden University Medical Center, Institute of Psychology, Leiden University, Leiden, Netherlands
| | - Peter Vonk
- Department of Research, Development and Prevention, Student Health Service, University of Amsterdam, Amsterdam, Netherlands
| | - Reinout W. Wiers
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Leonore de Wit
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Claudio Gentili
- Department of General Psychology, University of Padova, Padua, Italy
| | - David Daniel Ebert
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, United States
| | - Eirini Karyotaki
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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34
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Wogan R, Enrique A, Adegoke A, Earley C, Sollesse S, Gale S, Chellingsworth M, Richards D. Internet-delivered CBT intervention ( Space for Sleep) for insomnia in a routine care setting: Results from an open pilot study. Internet Interv 2021; 26:100443. [PMID: 34430222 PMCID: PMC8365455 DOI: 10.1016/j.invent.2021.100443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 08/05/2021] [Accepted: 08/08/2021] [Indexed: 11/28/2022] Open
Abstract
Insomnia is a highly prevalent, often comorbid disorder associated with difficulties sleeping, remaining awake, and impaired quality of life. Internet-delivered Cognitive Behavioral Therapy for insomnia (ICBT-I) has the potential to help large numbers of people with sleep disorders. This study investigated the preliminary effects of an 8-week guided ICBT-I intervention within a routine stepped-care service. Fifty-six (N = 56) patients consented to participate. The primary outcome was assessed using the Insomnia Severity Index (ISI) and secondary outcome measures included the Patient Health Questionnaire 9-item (PHQ-9), Generalized Anxiety Disorder 7-item (GAD-7), and the Work and Social Adjustment Scale (WSAS), each administered at baseline and weekly thereafter. Intention-to-treat analyses indicated that ICBT-I produced statistically significant pre- to post- reductions in symptoms of insomnia, yielding within-group effects of d = 0.82 suggesting a potential for improved outcomes. Similar improvements were seen across secondary outcomes, with small-to-medium post-treatment within-group effects observed: depression (d = 0.63), anxiety (d = 0.39), and functional impairment (d = 0.31). These findings are supportive of the intervention's potential effectiveness and speak to the importance of several implementation factors that could enhance the effects of the intervention. The results contribute to the growing evidence base for digital interventions designed to help those with sleep difficulties and will inform the design of a future controlled evaluation of ICBT-I under routine clinical settings.
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Affiliation(s)
- Rebecca Wogan
- Clinical Research & Innovation, SilverCloud Health, One Stephen Street Upper, Dublin 8, Ireland
| | - Angel Enrique
- Clinical Research & Innovation, SilverCloud Health, One Stephen Street Upper, Dublin 8, Ireland,E-Mental Health Research Group, School of Psychology, Aras an Phiarsaigh, Trinity College Dublin, Dublin 2, Ireland,Corresponding author at: Clinical Research & Innovation, SilverCloud Health, One Stephen Street Upper, Dublin 8, Ireland.
| | - Adedeji Adegoke
- Clinical Research & Innovation, SilverCloud Health, One Stephen Street Upper, Dublin 8, Ireland
| | - Caroline Earley
- Clinical Research & Innovation, SilverCloud Health, One Stephen Street Upper, Dublin 8, Ireland
| | - Sarah Sollesse
- Berkshire Healthcare NHS Foundation Trust, Fitzwilliams House, Skimped Hill Lane, Bracknell, England, United Kingdom of Great Britain and Northern Ireland
| | - Sophie Gale
- Berkshire Healthcare NHS Foundation Trust, Fitzwilliams House, Skimped Hill Lane, Bracknell, England, United Kingdom of Great Britain and Northern Ireland
| | - Marie Chellingsworth
- The CBT Resource, Exeter, England, United Kingdom of Great Britain and Northern Ireland
| | - Derek Richards
- Clinical Research & Innovation, SilverCloud Health, One Stephen Street Upper, Dublin 8, Ireland,E-Mental Health Research Group, School of Psychology, Aras an Phiarsaigh, Trinity College Dublin, Dublin 2, Ireland
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35
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Staines AC, Broomfield N, Pass L, Orchard F, Bridges J. Do non-pharmacological sleep interventions affect anxiety symptoms? A meta-analysis. J Sleep Res 2021; 31:e13451. [PMID: 34331373 DOI: 10.1111/jsr.13451] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/09/2021] [Accepted: 07/16/2021] [Indexed: 12/13/2022]
Abstract
Research indicates a bidirectional relationship between sleep and anxiety, with findings suggesting anxiety can precede poor sleep and vice versa. Evidence suggests sleep-related thought processes associated with anxiety are involved in the maintenance of insomnia. Previous meta-analyses provide some evidence to suggest cognitive behavioural therapy for insomnia moderately improves anxiety, yet little research has investigated the effect of other sleep interventions on anxiety symptoms. The aim of this meta-analysis was to review whether non-pharmacological sleep interventions have an impact on anxiety symptoms immediately post-intervention. A systematic search of electronic databases was conducted to identify all randomized control trials (RCTs) investigating non-pharmacological sleep interventions that included anxiety symptoms as an outcome. Forty-three RCTs (n = 5945) met full inclusion criteria and were included in a random-effects meta-analysis model. The combined effect size of non-pharmacological sleep interventions on anxiety symptoms was moderate (Hedges' g = -0.38), indicating a reduction in symptoms. Subgroup analyses found a moderate effect for those with additional physical health difficulties (g = -0.46), a moderate effect for those with additional mental health difficulties (g = -0.47) and a moderate effect for those with elevated levels of anxiety at baseline (g = -0.43). A secondary meta-analysis found a large effect of non-pharmacological sleep interventions on sleep-related thought processes (g = -0.92). These findings indicate non-pharmacological sleep interventions are effective in reducing anxiety and sleep-related thought processes, and these effects may be larger in patients with anxiety. This has clinical implications for considering sleep interventions in the treatment of anxiety.
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Affiliation(s)
- Alex Catherine Staines
- Department of Clinical Psychology, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Niall Broomfield
- Department of Clinical Psychology, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Laura Pass
- Department of Clinical Psychology, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Faith Orchard
- School of Psychology, University of Sussex, Brighton, UK
| | - Jessica Bridges
- Department of Clinical Psychology, Norwich Medical School, University of East Anglia, Norwich, UK
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36
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Sveen J, Jernelöv S, Pohlkamp L, Kreicbergs U, Kaldo V. Feasibility and preliminary efficacy of guided internet-delivered cognitive behavioral therapy for insomnia after the loss of a child to cancer: Randomized controlled trial. Internet Interv 2021; 25:100409. [PMID: 34401368 PMCID: PMC8350585 DOI: 10.1016/j.invent.2021.100409] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 05/25/2021] [Accepted: 06/02/2021] [Indexed: 11/03/2022] Open
Abstract
Bereaved individuals often experience sleep problems. The aim of this study was to evaluate feasibility and preliminary effects of internet-delivered cognitive behavioral therapy for insomnia (iCBT-i) in bereaved parents. Parents were randomized to iCBT-i (n = 10) or an active control group (n = 11). Primary outcome (insomnia) and secondary outcomes (prolonged grief, depression, posttraumatic stress, and grief rumination) were assessed pre- and post-treatment, with 9- and 18-month follow-ups. Feasibility was assessed post-treatment and one month later. Most parents reported positive effects of the treatment. The intervention group improved significantly from pre- to post-treatment and had a significantly larger reduction of insomnia when analyzed over all four time-points (Wald χ2 = 30.0, p < 0.001), although the effect at post-treatment was very small (d = 0.1) for insomnia. Thus, iCBT-i was feasible and was related to reduced insomnia and psychological distress in bereaved parents, both short- and long-term, but the results regarding the treatment effect are preliminary due to the small sample size.
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Affiliation(s)
- Josefin Sveen
- Palliative Research Centre, Department of Health Care Sciences, Ersta Sköndal Bräcke University College, Stockholm, Sweden,National Center for Disaster Psychiatry, Department of Neuroscience, Uppsala University, Uppsala, Sweden,Corresponding author at: National Center for Disaster Psychiatry, Department of Neuroscience, Uppsala University, Uppsala University Hospital entrance 10, 751 85 Uppsala, Sweden.
| | - Susanna Jernelöv
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Sweden
| | - Lilian Pohlkamp
- Palliative Research Centre, Department of Health Care Sciences, Ersta Sköndal Bräcke University College, Stockholm, Sweden
| | - Ulrika Kreicbergs
- Palliative Research Centre, Department of Health Care Sciences, Ersta Sköndal Bräcke University College, Stockholm, Sweden,Department of Women's and Children's Health, Paediatric Oncology and Haematology, Karolinska Institutet, Stockholm, Sweden
| | - Viktor Kaldo
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm Health Care Services, Region Stockholm, Sweden,Department of Psychology, Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden
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37
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Verdam MGE, van Ballegooijen W, Holtmaat CJM, Knoop H, Lancee J, Oort FJ, Riper H, van Straten A, Verdonck-de Leeuw IM, de Wit M, van der Zweerde T, Sprangers MAG. Re-evaluating randomized clinical trials of psychological interventions: Impact of response shift on the interpretation of trial results. PLoS One 2021; 16:e0252035. [PMID: 34032803 PMCID: PMC8148324 DOI: 10.1371/journal.pone.0252035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 05/08/2021] [Indexed: 11/28/2022] Open
Abstract
Background Effectiveness of psychological treatment is often assessed using patient-reported health evaluations. However, comparison of such scores over time can be hampered due to a change in the meaning of self-evaluations, called ‘response shift’. Insight into the occurrence of response shift seems especially relevant in the context of psychological interventions, as they often purposefully intend to change patients’ frames of reference. Aims The overall aim is to gain insight into the general relevance of response shift for psychological health intervention research. Specifically, the aim is to re-analyse data of published randomized controlled trials (RCTs) investigating the effectiveness of psychological interventions targeting different health aspects, to assess (1) the occurrence of response shift, (2) the impact of response shift on interpretation of treatment effectiveness, and (3) the predictive role of clinical and background variables for detected response shift. Method We re-analysed data from RCTs on guided internet delivered cognitive behavioural treatment (CBT) for insomnia in the general population with and without elevated depressive symptoms, an RCT on meaning-centred group psychotherapy targeting personal meaning for cancer survivors, and an RCT on internet-based CBT treatment for persons with diabetes with elevated depressive symptoms. Structural equation modelling was used to test the three objectives. Results We found indications of response shift in the intervention groups of all analysed datasets. However, results were mixed, as response shift was also indicated in some of the control groups, albeit to a lesser extent or in opposite direction. Overall, the detected response shifts only marginally impacted trial results. Relations with selected clinical and background variables helped the interpretation of detected effects and their possible mechanisms. Conclusion This study showed that response shift effects can occur as a result of psychological health interventions. Response shift did not influence the overall interpretation of trial results, but provide insight into differential treatment effectiveness for specific symptoms and/or domains that can be clinically meaningful.
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Affiliation(s)
- M. G. E. Verdam
- Department of Medical Psychology, Amsterdam University Medical Centers, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands
- Department of Methodology and Statistics, Institute of Psychology, Leiden University, Leiden, The Netherlands
- * E-mail:
| | - W. van Ballegooijen
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C. J. M. Holtmaat
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - H. Knoop
- Department of Medical Psychology, Amsterdam University Medical Centers, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands
- Department of Medical Psychology, Expert Center for Chronic Fatigue, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - J. Lancee
- Department of Clinical Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - F. J. Oort
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
| | - H. Riper
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - A. van Straten
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - I. M. Verdonck-de Leeuw
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Otolaryngology-Head and Neck Surgery, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - M. de Wit
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - T. van der Zweerde
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - M. A. G. Sprangers
- Department of Medical Psychology, Amsterdam University Medical Centers, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands
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38
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Sun J, McPhillips MV, Chen KC, Zang Y, Li J, Oehlke J, Brewster GS, Gooneratne NS. Primary care provider evaluation and management of insomnia. J Clin Sleep Med 2021; 17:1083-1091. [PMID: 33576737 DOI: 10.5664/jcsm.9154] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES To evaluate the type and extent of information collected from patients with insomnia during their first office encounter for insomnia and the prescribing therapies of primary care providers during this initial encounter. METHODS This study was a retrospective chart review of randomly selected patients who had a primary care provider office visit at any clinic affiliated with a university medical system between March 1, 2013, and March 1, 2016. Demographic and clinical information was abstracted for analysis. RESULTS Our sample (n = 200) was primarily female (63.5%), White (69%), middle-aged (ages 44.6 ± 15.1 years) adults. Most (68.5%) encounter notes did not have significant information related to insomnia risk factors and symptoms (< 50% of the notes). When examining comorbidities, we found that younger patients (<45 years old) were more likely to have anxiety linked to insomnia (P = .025), whereas older patients (≥45) were less likely to have any identified comorbidities associated with insomnia (P = .009). Only 5.0% of patients with insomnia were referred for cognitive-behavioral therapy for insomnia, whereas 51.5% of patients were prescribed sleep medications. The younger cohort was statistically more likely to receive sleep hygiene or cognitive-behavioral therapy for insomnia as a treatment option in comparison to the older cohort (P = .01 and P = .04, respectively). CONCLUSIONS Progress notes from primary care providers tend to have a paucity of information on insomnia symptoms and related comorbidities. Medications are often prescribed as the first-line treatment for insomnia. Cognitive-behavioral therapy for insomnia remains underutilized despite robust evidence suggesting that cognitive-behavioral therapy for insomnia is a safe and effective treatment for insomnia.
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Affiliation(s)
- Joy Sun
- Division of Geriatric Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Miranda V McPhillips
- Center for Sleep and Respiratory Neurobiology and Division of Sleep Medicine, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ker-Cheng Chen
- Division of Geriatric Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Yinyin Zang
- Center for Clinical Epidemiology and Biostatistics and the Department of Biostatistics and Epidemiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Junxin Li
- School of Nursing, John Hopkins University, Baltimore, Maryland
| | - Jessica Oehlke
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Glenna S Brewster
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia
| | - Nalaka S Gooneratne
- Division of Geriatric Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Sleep and Respiratory Neurobiology and Division of Sleep Medicine, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Peersmann SHM, van Straten A, Kaspers GJL, Thano A, van den Bergh E, Grootenhuis MA, van Litsenburg RRL. Does the guided online cognitive behavioral therapy for insomnia "i-Sleep youth" improve sleep of adolescents and young adults with insomnia after childhood cancer? (MICADO-study): study protocol of a randomized controlled trial. Trials 2021; 22:307. [PMID: 33902701 PMCID: PMC8077706 DOI: 10.1186/s13063-021-05263-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 04/13/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Adolescents and young adults who had childhood cancer are at increased risk for insomnia, due to being critically ill during an important phase of their life for the development of good sleep habits. Insomnia is disabling and prevalent after childhood cancer (26-29%) and negatively impacts quality of life, fatigue, pain, and general functioning and is often associated with other (mental) health problems. Insomnia and a history of childhood cancer both increase the risk of adverse health outcomes, posing a double burden for adolescents who had childhood cancer. The first-line treatment for insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, access to this type of care is often limited. The guided online CBT-I treatment "i-Sleep" has been developed to facilitate access via online care. i-Sleep is shown effective in adult (breast cancer) patients, but it is unknown if iCBT-I is effective in pediatric oncology. METHODS/DESIGN We developed a youth version of i-Sleep. Our aim is to evaluate its effectiveness in a national randomized-controlled clinical trial comparing iCBT-I to a waiting-list control condition at 3 and 6 months (n = 70). The intervention group will be also assessed at 12 months to see whether the post-test effects are maintained. Adolescents and young adults aged 12-30 years with insomnia, diagnosed with (childhood) cancer, currently at least 6 months since their last cancer treatment will be eligible. Outcomes include sleep efficiency (actigraphic), insomnia severity (self-report), sleep and circadian activity rhythm parameters, fatigue, health-related quality of life, perceived cognitive functioning, chronic distress, depressive and anxiety symptoms, and intervention acceptability. DISCUSSION Insomnia is prevalent in the pediatric oncology population posing a double health burden for adolescents and young adults who had childhood cancer. If guided iCBT-I is effective, guidelines for insomnia can be installed to treat insomnia and potentially improve quality of life and the health of adolescents and young adults who had childhood cancer. TRIAL REGISTRATION NL7220 (NTR7419; Netherlands Trial register). Registered on 2 August 2018.
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Affiliation(s)
- Shosha H M Peersmann
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, Utrecht, 3584 CS, The Netherlands.,Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit, Pediatric Oncology, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Annemieke van Straten
- Department of Clinical, Neuro, and Developmental Psychology, Faculty of Behavioural and Movement Science & Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Gertjan J L Kaspers
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, Utrecht, 3584 CS, The Netherlands.,Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit, Pediatric Oncology, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Adriana Thano
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, Utrecht, 3584 CS, The Netherlands
| | - Esther van den Bergh
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, Utrecht, 3584 CS, The Netherlands
| | - Martha A Grootenhuis
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, Utrecht, 3584 CS, The Netherlands
| | - Raphaële R L van Litsenburg
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, Utrecht, 3584 CS, The Netherlands. .,Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit, Pediatric Oncology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
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40
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Van der Zweerde T, Lancee J, Slottje P, Bosmans JE, Van Someren EJW, van Straten A. Nurse-Guided Internet-Delivered Cognitive Behavioral Therapy for Insomnia in General Practice: Results from a Pragmatic Randomized Clinical Trial. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 89:174-184. [PMID: 32069463 DOI: 10.1159/000505600] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/23/2019] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Guidelines recommend cognitive behavioral therapy for insomnia (CBT-I) as the first line of treatment for insomnia in general practice, but CBT-I is rarely available. Nurse-guided Internet-delivered CBT-I might be a solution to improve access to care. OBJECTIVE We aimed to determine the effectiveness of nurse-guided Internet-delivered CBT-I (I-CBT-I) on insomnia severity experienced by patients in general practice. METHODS Nurse-guided I-CBT-I ("i-Sleep") was compared to care-as-usual (and I-CBT-I after 6 months) in 15 participating general practices among 134 patients (≥18 years old) with clinical insomnia symptoms. Assessments took place at 8, 26 and 52 weeks. Primary outcome was self-reported insomnia severity (Insomnia Severity Index) at 8 weeks. Secondary outcomes were sleep diary indices, depression and anxiety symptoms (Hospital Anxiety and Depression Scale), fatigue, daytime consequences of insomnia, sleep medication and adverse events. RESULTS Two thirds of the 69 intervention patients (n = 47; 68%) completed the whole intervention. At the posttest examination, there were large significant effects for insomnia severity (Cohen's d =1.66), several sleep diary variables (wake after sleep onset, number of awakenings, terminal wakefulness, sleep efficiency, sleep quality) and depression. At 26 weeks there were still significant effects on insomnia severity (d = 1.02) and on total sleep time and sleep efficiency. No significant effects were observed for anxiety, fatigue, daily functioning or sleep medication. No adverse events were reported. CONCLUSIONS Nurse-guided I-CBT-I effectively reduces insomnia severity among general practice patients. I-CBT-I enables general practitioners to offer effective insomnia care in accordance with the clinical guidelines.
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Affiliation(s)
- Tanja Van der Zweerde
- Department of Clinical Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands,
| | - Jaap Lancee
- Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands.,PsyQ Amsterdam, Amsterdam, The Netherlands
| | - Pauline Slottje
- Department of General Practice and Elderly Care, Academic Network of General Practice (ANH), Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Judith E Bosmans
- Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Departments of Integrative Neurophysiology and Psychiatry, Centre for Neurogenomics and Cognitive Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Annemieke van Straten
- Department of Clinical Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
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41
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Condon HE, Maurer LF, Kyle SD. Reporting of adverse events in cognitive behavioural therapy for insomnia: A systematic examination of randomised controlled trials. Sleep Med Rev 2020; 56:101412. [PMID: 33422935 DOI: 10.1016/j.smrv.2020.101412] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 08/13/2020] [Accepted: 08/14/2020] [Indexed: 10/22/2022]
Abstract
Adverse events are undesirable events that can occur during medical or psychological treatment. There has been limited attention to adverse events in psychological treatment trials relative to pharmacotherapy trials. Cognitive behavioural therapy (CBTI) is the first line treatment for insomnia but studies have reported potential negative effects during acute implementation. This review aimed to understand the extent to which adverse events are monitored for and reported in the CBTI trial literature. Ninety-nine randomised controlled trials were identified for inclusion, with findings showing that 32.3% (n = 32) of studies addressed adverse events in some way, while only 7.1% (n = 7) of studies met all criteria for adequate reporting of adverse events. For studies that reported on adverse events by group, there did not appear to be consistent differences between trial arms, however the limited evidence-base coupled with marked heterogeneity in monitoring and reporting makes it difficult to draw clear conclusions at this time. We outline recommendations for the field aimed at improving prospective monitoring and reporting of adverse events in psychological/behavioural treatment trials.
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Affiliation(s)
- Heather E Condon
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Leonie F Maurer
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
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42
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Soh HL, Ho RC, Ho CS, Tam WW. Efficacy of digital cognitive behavioural therapy for insomnia: a meta-analysis of randomised controlled trials. Sleep Med 2020; 75:315-325. [PMID: 32950013 DOI: 10.1016/j.sleep.2020.08.020] [Citation(s) in RCA: 266] [Impact Index Per Article: 66.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/12/2020] [Accepted: 08/21/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES Although cognitive behavioural therapy for insomnia (CBT-I) has been recommended the initial therapy for insomnia, its clinical usage remains limited due to the lack of therapists. Digital CBT-I (dCBT-I) can potentially circumvent this problem. This meta-analysis aims to evaluate the short-term and long-term efficacy of dCBT-I for adults with insomnia. METHODS Systematic search of PubMed, EMBASE, PsycINFO, and CENTRAL from inception till 5 March 2020 was conducted. Randomised controlled trials (RCTs) comparing dCBT-I with controls (wait-list/treatment-as-usual/online education) in adults with insomnia were eligible. The primary outcome was insomnia severity index (ISI) at post-intervention, short-term follow-up (ranging 4 weeks to 6 months) and 1-year follow-up. Mean differences were pooled using the random-effects model. RESULTS 94 articles were assessed full-text independently by two team members and 33 studies were included in this meta-analysis. 4719 and 4645 participants were randomised to dCBT-I and control respectively. dCBT-I significantly reduces ISI at post-intervention with mean difference -5.00 (95% CI -5.68 to -4.33, p < 0.0001) (I2 = 79%) compared to control. The improvements were sustained at short-term follow-up, -3.99 (95% CI -4.82 to -3.16, p < 0.0001) and 1-year follow-up, -3.48 (95% CI -4.21 to -2.76, p < 0.0001). Compared to dCBT-I, face-to-face CBT-I produced greater improvement in ISI, 3.07 (95% CI 1.18 to 4.95, p = 0.001). However, this was within the non-inferiority interval of 4 points on ISI. CONCLUSION This meta-analysis provides strong support for the effectiveness of dCBT-I in treating insomnia. dCBT-I has potential to revolutionise the delivery of CBT-I, improving the accessibility and availability of CBT-I content for insomnia patients worldwide.
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Affiliation(s)
- Hui Ling Soh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Roger C Ho
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, 119077, Singapore; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore.
| | - Cyrus S Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore; Department of Psychological Medicine, National University Health System, Singapore
| | - Wilson W Tam
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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43
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Henry AL, Miller CB, Emsley R, Sheaves B, Freeman D, Luik AI, Littlewood DL, Saunders KEA, Kanady JC, Carl JR, Davis ML, Kyle SD, Espie CA. Insomnia as a mediating therapeutic target for depressive symptoms: A sub-analysis of participant data from two large randomized controlled trials of a digital sleep intervention. J Sleep Res 2020; 30:e13140. [PMID: 32810921 PMCID: PMC8150672 DOI: 10.1111/jsr.13140] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/19/2020] [Accepted: 06/22/2020] [Indexed: 01/04/2023]
Abstract
Insomnia predicts the onset of depression, commonly co-presents with depression and often persists following depression remission. However, these conditions can be challenging to treat concurrently using depression-specific therapies. Cognitive behavioural therapy for insomnia may be an appropriate treatment to improve both insomnia and depressive symptoms. We examined the effects of a fully-automated digital cognitive behavioural therapy intervention for insomnia (Sleepio) on insomnia and depressive symptoms, and the mediating role of sleep improvement on depressive symptoms in participants from two randomized controlled trials of digital cognitive behavioural therapy for insomnia. We also explored potential moderators of intervention effects. All participants met criteria for probable insomnia disorder and had clinically significant depressive symptomatology (PHQ-9 ≥ 10; n = 3,352). Individuals allocated to treatment in both trials were provided access to digital cognitive behavioural therapy. Digital cognitive behavioural therapy significantly improved insomnia (p < .001; g = 0.76) and depressive symptoms (p < .001; g = 0.48) at post-intervention (weeks 8-10), and increased the odds (OR = 2.9; 95% CI = 2.34, 3.65) of clinically significant improvement in depressive symptoms (PHQ-9 < 10). Improvements in insomnia symptoms at mid-intervention mediated 87% of the effects on depressive symptoms at post-intervention. No variables moderated effectiveness outcomes, suggesting generalizability of these findings. Our results suggest that effects of digital cognitive behavioural therapy for insomnia extend to depressive symptoms in those with clinically significant depressive symptomatology. Insomnia may, therefore, be an important therapeutic target to assist management of depressive symptoms.
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Affiliation(s)
- Alasdair L Henry
- Big Health Inc., San Francisco, California, USA.,Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Christopher B Miller
- Big Health Inc., San Francisco, California, USA.,Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Bryony Sheaves
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Daniel Freeman
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
| | - Donna L Littlewood
- NIHR Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, UK
| | | | | | | | | | - Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Colin A Espie
- Big Health Inc., San Francisco, California, USA.,Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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44
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Van Someren EJW. Brain mechanisms of insomnia: new perspectives on causes and consequences. Physiol Rev 2020; 101:995-1046. [PMID: 32790576 DOI: 10.1152/physrev.00046.2019] [Citation(s) in RCA: 154] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
While insomnia is the second most common mental disorder, progress in our understanding of underlying neurobiological mechanisms has been limited. The present review addresses the definition and prevalence of insomnia and explores its subjective and objective characteristics across the 24-hour day. Subsequently, the review extensively addresses how the vulnerability to develop insomnia is affected by genetic variants, early life stress, major life events, and brain structure and function. Further supported by the clear mental health risks conveyed by insomnia, the integrated findings suggest that the vulnerability to develop insomnia could rather be found in brain circuits regulating emotion and arousal than in circuits involved in circadian and homeostatic sleep regulation. Finally, a testable model is presented. The model proposes that in people with a vulnerability to develop insomnia, the locus coeruleus is more sensitive to-or receives more input from-the salience network and related circuits, even during rapid eye movement sleep, when it should normally be sound asleep. This vulnerability may ignite a downward spiral of insufficient overnight adaptation to distress, resulting in accumulating hyperarousal, which, in turn, impedes restful sleep and moreover increases the risk of other mental health adversity. Sensitized brain circuits are likely to be subjectively experienced as "sleeping with one eye open". The proposed model opens up the possibility for novel intervention studies and animal studies, thus accelerating the ignition of a neuroscience of insomnia, which is direly needed for better treatment.
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Affiliation(s)
- Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit University Amsterdam, Amsterdam, The Netherlands; and Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
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45
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Ballesio A, Cerolini S, Vacca M, Lucidi F, Lombardo C. Insomnia Symptoms Moderate the Relationship Between Perseverative Cognition and Backward Inhibition in the Task-Switching Paradigm. Front Psychol 2020; 11:1837. [PMID: 32903605 PMCID: PMC7438750 DOI: 10.3389/fpsyg.2020.01837] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 07/03/2020] [Indexed: 12/11/2022] Open
Abstract
Perseverative cognition (PC), that is, the continuous cognitive representation of uncontrollable threats, is known to dampen executive control processes in experimental paradigms. Similarly, PC has been shown to impair sleep and to be implicated in the exacerbation of insomnia, which may in turn contribute to the disruption of executive functions. The interactions between PC and insomnia in influencing executive functions, however, have never been tested to date. In the present study, we explored whether insomnia symptoms may moderate the associations between PC and disrupted executive functions, with the hypothesis to find a stronger relationship between these variables at increasing levels of insomnia. Fifty participants completed measures of trait PC and insomnia severity in the previous month and also completed a computerized task-switching paradigm assessing backward inhibition, switch cost, and accuracy. Prior to the task switching, participants completed a measure of state rumination in order to control for the effects of state PC on cognitive performance. Results show that trait PC was significantly correlated with higher insomnia symptoms and state rumination and marginally correlated with lower backward inhibition and longer switch cost. Moreover, insomnia severity moderated the relationship between trait PC and backward inhibition after controlling for the effects of state rumination; that is, the relationship between PC and inhibitory deficits was stronger in those with higher versus lower levels of insomnia symptoms. Findings suggest the need to better elucidate the associations between PC, insomnia, and executive functioning in clinical samples and longitudinal designs.
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Affiliation(s)
- Andrea Ballesio
- Laboratory of Clinical Psychology and Psychophysiology, Department of Psychology, Sapienza University of Rome, Rome, Italy.,Department of Social and Developmental Psychology, Sapienza University of Rome, Rome, Italy
| | - Silvia Cerolini
- Laboratory of Clinical Psychology and Psychophysiology, Department of Psychology, Sapienza University of Rome, Rome, Italy.,Department of Social and Developmental Psychology, Sapienza University of Rome, Rome, Italy
| | - Mariacarolina Vacca
- Laboratory of Clinical Psychology and Psychophysiology, Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Fabio Lucidi
- Department of Social and Developmental Psychology, Sapienza University of Rome, Rome, Italy
| | - Caterina Lombardo
- Laboratory of Clinical Psychology and Psychophysiology, Department of Psychology, Sapienza University of Rome, Rome, Italy
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46
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Depression prevention in digital cognitive behavioral therapy for insomnia: Is rumination a mediator? J Affect Disord 2020; 273:434-441. [PMID: 32560938 DOI: 10.1016/j.jad.2020.03.184] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 03/24/2020] [Accepted: 03/30/2020] [Indexed: 11/23/2022]
Abstract
Background There has been growing support for digital Cognitive Behavioral Therapy (dCBT-I) as a scalable intervention that both reduces insomnia and prevents depression. However, the mechanisms by which dCBT-I reduces and prevents depression is less clear. Methods This was a randomized controlled trial with two parallel arms: dCBT-I (N=358), or online sleep education as the control condition (N=300). Outcome variables were measured at pre-treatment, post-treatment, and one-year follow-up, and included the Insomnia Severity Index (ISI), the Quick Inventory of Depressive Symptomatology (QIDS-SR16), and the Perseverative Thinking Questionnaire (PTQ). The analyses tested change in PTQ scores as a mediator for post-treatment insomnia, post-treatment depression, and incident depression at one-year follow-up. Results Reductions in rumination (PTQ) were significantly larger in the dCBT-I condition compared to control. Results also showed that reductions in rumination significantly mediated the improvement in post-treatment insomnia severity (proportional effect = 11%) and post-treatment depression severity (proportional effect = 19%) associated with the dCBT-I condition. Finally, reductions in rumination also significantly mediated the prevention of clinically significant depression via dCBT-I (proportional effect = 42%). Limitations Depression was measured with a validated self-report instrument instead of clinical interviews. Durability of results beyond one-year follow-up should also be tested in future research. Conclusions Results provide evidence that rumination is an important mechanism in how dCBT-I reduces and prevents depression.
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47
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Salwen-Deremer JK, Siegel CA, Smith MT. Cognitive Behavioral Therapy for Insomnia: A Promising Treatment for Insomnia, Pain, and Depression in Patients With IBD. CROHN'S & COLITIS 360 2020; 2:otaa052. [PMID: 36776493 PMCID: PMC9802437 DOI: 10.1093/crocol/otaa052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Indexed: 12/18/2022] Open
Abstract
Over 75% of people with active inflammatory bowel diseases (IBDs) report sleep disturbances, which heighten risk for IBD relapse and flares. Despite mounting evidence for sleep disturbances in IBD, discussion of treatment is severely limited. The most common sleep disturbance, insomnia, occurs in over 50% of adults with chronic health conditions. Herein we describe the gold standard treatment for insomnia, Cognitive Behavioral Therapy for Insomnia (CBT-I). Although yet to be studied in IBD, CBT-I reduces a number of IBD-related comorbidities, including chronic pain, depression, and systemic inflammation. We describe treatment with CBT-I, the impact of CBT-I on these comorbidities, and recommendations for providers.
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Affiliation(s)
- Jessica K Salwen-Deremer
- Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA,Section of Gastroenterology and Hepatology, Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA,Address correspondence to: Jessica K. Salwen-Deremer, PhD, One Medical Center Drive, Lebanon, NH 03756 ()
| | - Corey A Siegel
- Section of Gastroenterology and Hepatology, Department of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Michael T Smith
- Department of Psychiatry, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA,Department of Nursing, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA,Department of Neurology, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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48
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ter Heege FM, Mijnster T, van Veen MM, Pijnenborg GHM, de Jong PJ, Boersma GJ, Lancel M. The clinical relevance of early identification and treatment of sleep disorders in mental health care: protocol of a randomized control trial. BMC Psychiatry 2020; 20:331. [PMID: 32580724 PMCID: PMC7313112 DOI: 10.1186/s12888-020-02737-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 06/15/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Sleep disorders are a risk factor for developing a variety of mental disorders, have a negative impact on their remission rates and increase the risk of relapse. Early identification and treatment of sleep disorders is therefore of paramount importance. Unfortunately, in mental health care sleep disorders are often poorly recognized and specific treatment frequently occurs late or not at all. This protocol-paper presents a randomized controlled trial investigating the clinical relevance of early detection and treatment of sleep disorders in mental health care. The two aims of this project are 1) to determine the prevalence of sleep disorders in different mental disorders, and 2) to investigate the contribution of early identification and adequate treatment of sleep disorders in individuals with mental disorders to their sleep, mental disorder symptoms, general functioning, and quality of life. METHODS Patients newly referred to a Dutch mental health institute for psychiatric treatment will be screened for sleep disorders with the self-assessment Holland Sleep Disorders Questionnaire (HSDQ). Patients scoring above the cut-off criteria will be invited for additional diagnostic evaluation and, treatment of the respective sleep disorder. Participants will be randomly assigned to two groups: Immediate sleep diagnostics and intervention (TAU+SI-T0), or delayed start of sleep intervention (TAU+SI-T1; 6 months after inclusion). The effect of sleep treatment as add-on to treatment as usual (TAU) will be tested with regard to sleep disorder symptoms, general functioning, and quality of life (in collaboration with a psychiatric sleep centre). DISCUSSION This trial will examine the prevalence of different sleep disorders in a broad range of mental disorders, providing information on the co-occurrence of specific sleep and mental disorders. Further, this study is the first to investigate the impact of early treatment of sleep disorders on the outcome of many mental disorders. Moreover, standard sleep interventions will be tailored to specific mental disorders, to increase their efficacy. The results of this trial may contribute considerably to the improvement of mental health care. TRIAL REGISTRATION This clinical trial has been retrospectively registered in the Netherlands Trial Register (NL8389; https://www.trialregister.nl/trial/8389) on February 2th, 2020.
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Affiliation(s)
- Fiona M. ter Heege
- grid.468637.80000 0004 0465 6592GGZ Drenthe Mental Health Institute, 9404 LA Assen, The Netherlands
| | - Teus Mijnster
- grid.468637.80000 0004 0465 6592GGZ Drenthe Mental Health Institute, 9404 LA Assen, The Netherlands
| | - Maaike M. van Veen
- grid.468637.80000 0004 0465 6592GGZ Drenthe Mental Health Institute, 9404 LA Assen, The Netherlands
| | - Gerdina H. M. Pijnenborg
- grid.468637.80000 0004 0465 6592GGZ Drenthe Mental Health Institute, 9404 LA Assen, The Netherlands ,grid.4830.f0000 0004 0407 1981Department of clinical and Developmental Neuropsychology, University of Groningen, Groningen, the Netherlands
| | - Peter J. de Jong
- grid.4830.f0000 0004 0407 1981Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, the Netherlands
| | - Gretha J. Boersma
- grid.468637.80000 0004 0465 6592GGZ Drenthe Mental Health Institute, 9404 LA Assen, The Netherlands
| | - Marike Lancel
- GGZ Drenthe Mental Health Institute, 9404 LA, Assen, The Netherlands. .,Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, the Netherlands.
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van der Zweerde T, Lancee J, Ida Luik A, van Straten A. Internet-Delivered Cognitive Behavioral Therapy for Insomnia. Sleep Med Clin 2020; 15:117-131. [DOI: 10.1016/j.jsmc.2020.02.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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