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      The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis

      research-article
      , Prof, PhD a , b , * , , DClinPsy a , b , , Prof, FMedSci a , b , , DPhil c , , MSc c , , Prof, DM Oxon a , b , , Prof, PhD d , , PhD e , f , , Prof, PhD e , , MSc a , , DPhil a , , Prof, PhD g , , Prof, PhD h , , Prof, PhD i , , Prof, PhD j , , Prof, PhD l , , Prof, PhD k , , DClinPsy l , , Prof, MD m , , Prof, PhD n , , Prof, PhD o , , PhD p , , MSc q , , Prof, PhD r , s , , PhD s , , Prof, PhD r , s , , Prof, PhD t , , Prof, PhD u , , PhD v , , Prof, MSc w , x , , DClinPsy x , , PhD y , , PhD z , , PhD aa , , Prof, PhD ab , , PhD ac , , Prof, DPhil ad , , Prof, PhD ae , , Prof, PhD af , , PhD af , , Prof, PhD ag , , Prof, PhD e , f
      The Lancet. Psychiatry
      Elsevier

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          Background

          Sleep difficulties might be a contributory causal factor in the occurrence of mental health problems. If this is true, improving sleep should benefit psychological health. We aimed to determine whether treating insomnia leads to a reduction in paranoia and hallucinations.

          Methods

          We did this single-blind, randomised controlled trial (OASIS) at 26 UK universities. University students with insomnia were randomly assigned (1:1) with simple randomisation to receive digital cognitive behavioural therapy (CBT) for insomnia or usual care, and the research team were masked to the treatment. Online assessments took place at weeks 0, 3, 10 (end of therapy), and 22. The primary outcome measures were for insomnia, paranoia, and hallucinatory experiences. We did intention-to-treat analyses. The trial is registered with the ISRCTN registry, number ISRCTN61272251.

          Findings

          Between March 5, 2015, and Feb 17, 2016, we randomly assigned 3755 participants to receive digital CBT for insomnia (n=1891) or usual practice (n=1864). Compared with usual practice, the sleep intervention at 10 weeks reduced insomnia (adjusted difference 4·78, 95% CI 4·29 to 5·26, Cohen's d=1·11; p<0·0001), paranoia (−2·22, −2·98 to −1·45, Cohen's d=0·19; p<0·0001), and hallucinations (−1·58, −1·98 to −1·18, Cohen's d=0·24; p<0·0001). Insomnia was a mediator of change in paranoia and hallucinations. No adverse events were reported.

          Interpretation

          To our knowledge, this is the largest randomised controlled trial of a psychological intervention for a mental health problem. It provides strong evidence that insomnia is a causal factor in the occurrence of psychotic experiences and other mental health problems. Whether the results generalise beyond a student population requires testing. The treatment of disrupted sleep might require a higher priority in mental health provision.

          Funding

          Wellcome Trust.

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          Most cited references24

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          The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review.

          Depression, anxiety and somatization are the most common mental disorders in primary care as well as medical specialty populations; each is present in at least 5-10% of patients and frequently comorbid with one another. An efficient means for measuring and monitoring all three conditions would be desirable. Evidence regarding the psychometric and pragmatic characteristics of the Patient Health Questionnaire (PHQ)-9 depression, generalized anxiety disorder (GAD)-7 anxiety and PHQ-15 somatic symptom scales are synthesized from two sources: (1) four multisite cross-sectional studies (three conducted in primary care and one in obstetric-gynecology practices) comprising 9740 patients, and (2) key studies from the literature that have studied these scales. The PHQ-9 and its abbreviated eight-item (PHQ-8) and two-item (PHQ-2) versions have good sensitivity and specificity for detecting depressive disorders. Likewise, the GAD-7 and its abbreviated two-item (GAD-2) version have good operating characteristics for detecting generalized anxiety, panic, social anxiety and post-traumatic stress disorder. The optimal cutpoint is > or = 10 on the parent scales (PHQ-9 and GAD-7) and > or = 3 on the ultra-brief versions (PHQ-2 and GAD-2). The PHQ-15 is equal or superior to other brief measures for assessing somatic symptoms and screening for somatoform disorders. Cutpoints of 5, 10 and 15 represent mild, moderate and severe symptom levels on all three scales. Sensitivity to change is well-established for the PHQ-9 and emerging albeit not yet definitive for the GAD-7 and PHQ-15. The PHQ-9, GAD-7 and PHQ-15 are brief well-validated measures for detecting and monitoring depression, anxiety and somatization. Copyright 2010. Published by Elsevier Inc.
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            Move over ANOVA: progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry.

            The analysis of repeated-measures data presents challenges to investigators and is a topic for ongoing discussion in the Archives of General Psychiatry. Traditional methods of statistical analysis (end-point analysis and univariate and multivariate repeated-measures analysis of variance [rANOVA and rMANOVA, respectively]) have known disadvantages. More sophisticated mixed-effects models provide flexibility, and recently developed software makes them available to researchers. To review methods for repeated-measures analysis and discuss advantages and potential misuses of mixed-effects models. Also, to assess the extent of the shift from traditional to mixed-effects approaches in published reports in the Archives of General Psychiatry. The Archives of General Psychiatry from 1989 through 2001, and the Department of Veterans Affairs Cooperative Study 425. Studies with a repeated-measures design, at least 2 groups, and a continuous response variable. The first author ranked the studies according to the most advanced statistical method used in the following order: mixed-effects model, rMANOVA, rANOVA, and end-point analysis. The use of mixed-effects models has substantially increased during the last 10 years. In 2001, 30% of clinical trials reported in the Archives of General Psychiatry used mixed-effects analysis. Repeated-measures ANOVAs continue to be used widely for the analysis of repeated-measures data, despite risks to interpretation. Mixed-effects models use all available data, can properly account for correlation between repeated measurements on the same subject, have greater flexibility to model time effects, and can handle missing data more appropriately. Their flexibility makes them the preferred choice for the analysis of repeated-measures data.
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              Efficacy of internet-delivered cognitive-behavioral therapy for insomnia - A systematic review and meta-analysis of randomized controlled trials.

              Cognitive-behavioral therapy for insomnia (CBT-I) has been shown efficacious, but the challenge remains to make it available and accessible in order to meet population needs. Delivering CBT-I over the internet (eCBT-I) may be one method to overcome this challenge. The objective of this meta-analysis was to evaluate the efficacy of eCBT-I and the moderating influence of various study characteristics. Two researchers independently searched key electronic databases (1991 to June 2015), selected eligible publications, extracted data, and evaluated methodological quality. Eleven randomized controlled trials examining a total of 1460 participants were included. Results showed that eCBT-I improved insomnia severity, sleep efficiency, subjective sleep quality, wake after sleep onset, sleep onset latency, total sleep time, and number of nocturnal awakenings at post-treatment, with effect sizes (Hedges's g) ranging from 0.21 to 1.09. The effects were comparable to those found for face-to-face CBT-I, and were generally maintained at 4-48 wk follow-up. Moderator analyses showed that longer treatment duration and higher degree of personal clinical support were associated with larger effect sizes, and that larger study dropout in the intervention group was associated with smaller effect sizes. In conclusion, internet-delivered CBT-I appears efficacious and can be considered a viable option in the treatment of insomnia.
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                Author and article information

                Contributors
                Journal
                Lancet Psychiatry
                Lancet Psychiatry
                The Lancet. Psychiatry
                Elsevier
                2215-0366
                2215-0374
                1 October 2017
                October 2017
                : 4
                : 10
                : 749-758
                Affiliations
                [a ]Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
                [b ]Oxford Health National Health Service (NHS) Foundation Trust, Oxford, UK
                [c ]Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
                [d ]Centre for Biostatistics, Institute of Population Health, Manchester University, Manchester Academic Health Centre, Manchester, UK
                [e ]Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Sir William Dunn School of Pathology, Oxford, UK
                [f ]Big Health Ltd, London, UK
                [g ]Institute of Health and Wellbeing, University of Glasgow, Gartnavel Royal Hospital, Glasgow, UK
                [h ]School of Nursing and Midwifery, Faculty of Health and Human Sciences, Plymouth University, Plymouth, UK
                [i ]Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, University of Bristol, Bristol, UK
                [j ]Spectrum Centre for Mental Health Research, Faculty of Health and Medicine, Lancaster University, Lancaster, UK
                [k ]Psychological Sciences, Institute of Psychology Health and Society, University of Liverpool, Liverpool, UK
                [l ]Clinical Psychology Unit, Department of Psychology, University of Sheffield, Sheffield, UK
                [m ]Department of Health Sciences, College of Medicine, Biological Sciences and Psychology, Centre for Medicine, University of Leicester, Leicester, UK
                [n ]Department of Psychology, University of Swansea, Swansea, UK
                [o ]Department of Psychology, Goldsmiths, University of London, London, UK
                [p ]Department of Psychology, University of Strathclyde, Glasgow, UK
                [q ]Department of Psychology, Institute of Health and Society, University of Worcester, Worcester, UK
                [r ]Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
                [s ]National Institute for Healthcare Research MindTech Healthcare Technology Co-operative, Institute of Mental Health, University of Nottingham, Nottingham, UK
                [t ]Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
                [u ]School of Psychology and Therapeutic Studies, University of South Wales, Treforest, UK
                [v ]Department of Psychology, School of Science and Technology, University of Middlesex, London, UK
                [w ]Department of Psychology, University of Sussex, Brighton, UK
                [x ]Sussex Partnership NHS Foundation Trust, Worthing, UK
                [y ]Department of Clinical, Educational and Health Psychology, University College London, London, UK
                [z ]School of Psychology, University of Central Lancashire, Preston, UK
                [aa ]Psychology Department, Royal Holloway, Egham, UK
                [ab ]University of Cambridge Centre for Family Research, Cambridge, UK
                [ac ]School of Psychological Sciences and Health, University of Strathclyde, Glasgow UK
                [ad ]Department of Clinical Psychology, Norwich Medical School, University of East Anglia, Norwich, UK
                [ae ]SMART Lab, College of Life and Environmental Sciences, Sir Henry Wellcome Building for Mood Disorders Research, University of Exeter, Exeter, UK
                [af ]School of Health in Social Sciences, University of Edinburgh, Medical School, Edinburgh, UK
                [ag ]Community and Health Research Unit, University of Lincoln, Lincoln, UK
                Author notes
                [* ]Correspondence to: Prof Daniel Freeman, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UKCorrespondence to: Prof Daniel FreemanDepartment of PsychiatryUniversity of OxfordWarneford HospitalOxfordOX3 7JXUK daniel.freeman@ 123456psych.ox.ac.uk
                Article
                S2215-0366(17)30328-0
                10.1016/S2215-0366(17)30328-0
                5614772
                28888927
                1233d5a1-90ce-4f2a-a0b7-f3c324c105f1
                © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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