Sleep Treatment Outcome Predictors (STOP) Pilot Study: a protocol for a randomised controlled trial examining predictors of change of insomnia symptoms and associated traits following cognitive-behavioural therapy for insomnia in an unselected sample

Dan Denis, Thalia C Eley, Fruhling Rijsdijk, Helena M S Zavos, Robert Keers, Colin A Espie, Annemarie I Luik, Isabella Badini, Sarah Derveeuw, Alvin Romero, John Hodsoll, Alice M Gregory, Dan Denis, Thalia C Eley, Fruhling Rijsdijk, Helena M S Zavos, Robert Keers, Colin A Espie, Annemarie I Luik, Isabella Badini, Sarah Derveeuw, Alvin Romero, John Hodsoll, Alice M Gregory

Abstract

Introduction: Cognitive-behavioural therapy for insomnia (CBT-I) leads to insomnia symptom improvements in a substantial proportion of patients. However, not everyone responds well to this treatment, and it is unclear what determines individual differences in response. The broader aim of this work is to examine to what extent response to CBT-I is due to genetic and environmental factors. The purpose of this pilot study is to examine feasibility of a design to test hypotheses focusing on an unselected sample, that is, without selection on insomnia complaints, in order to plan a larger behavioural genetics study where most participants will likely not have an insomnia disorder.

Methods and analysis: A two parallel-group randomised controlled trial is being conducted across three London universities. Female students (minimum age 18 years) enrolled on a psychology programme at one of the three sites were invited to participate. The target number of participants to be recruited is 240. Following baseline assessments, participants were randomly allocated to either the treatment group, where they received weekly sessions of digital CBT-I for 6 weeks, or the control group, where they completed an online puzzle each week for 6 weeks. Follow-up assessments have taken place mid-intervention (3 weeks) and end of intervention (6 weeks). A 6-month follow-up assessment will also occur. Primary outcomes will be assessed using descriptive statistics and effect size estimates for intervention effects. Secondary outcomes will be analysed using multivariate generalised estimating equation models.

Ethics and dissemination: The study received ethical approval from the Research Ethics and Integrity subcommittee, Goldsmiths, University of London (application reference: EA 1305). DNA sample collection for the BioResource received ethical approval from the NRES Committee South Central-Oxford (reference number: 15/SC/0388). The results of this work shall be published in peer-reviewed journals.

Trial registration number: NCT03062891; Results.

Keywords: adult psychiatry; psychiatry; sleep medicine.

Conflict of interest statement

Competing interests: The position of AIL at the University of Oxford is funded by Big Health Ltd, the company behind the digital CBT-I programme evaluated in this study. CAE is the cofounder and CMO of Big Health Ltd and holds shares in Big Health Ltd. AMG has provided guidance and educational content for a freely available educational website focused on infant sleep. This website is partially supported by Johnson and Johnson, but they do not have any influence over content and do not advertise on it. AMG also contributes to BBC Focus Magazine.

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Figures

Figure 1
Figure 1
Flow chart of study timeline. CBT, cognitive–behavioural therapy.

References

    1. Kessler RC, Berglund PA, Coulouvrat C, et al. . Insomnia and the performance of US workers: results from the America insomnia survey. Sleep 2011;34:1161–71. 10.5665/SLEEP.1230
    1. Hafner M, Stepanek M, Taylor J, et al. . Why sleep matters—the economic costs of insufficient sleep: a cross-country comparative analysis. Rand Health Q 2017;6:11.
    1. Katz DA, McHorney CA. Clinical correlates of insomnia in patients with chronic illness. Arch Intern Med 1998;158:1099–107. 10.1001/archinte.158.10.1099
    1. Kupfer DJ. Pathophysiology and management of insomnia during depression. Ann Clin Psychiatry 1999;11:267–76. 10.3109/10401239909147078
    1. Harvey AG. Insomnia: symptom or diagnosis? Clin Psychol Rev 2001;21:1037–59. 10.1016/S0272-7358(00)00083-0
    1. Baglioni C, Battagliese G, Feige B, et al. . Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies. J Affect Disord 2011;135:10–19. 10.1016/j.jad.2011.01.011
    1. Neckelmann D, Mykletun A, Dahl AA. Chronic insomnia as a risk factor for developing anxiety and depression. Sleep 2007;30:873–80. 10.1093/sleep/30.7.873
    1. Trauer JM, Qian MY, Doyle JS, et al. . Cognitive behavioral therapy for chronic insomnia: a systematic review and meta-analysis. Ann Intern Med 2015;163:191–204. 10.7326/M14-2841
    1. van Straten A, van der Zweerde T, Kleiboer A, et al. . Cognitive and behavioral therapies in the treatment of insomnia: a meta-analysis. Sleep Med Rev 2017. 10.1016/j.smrv.2017.02.001
    1. Qaseem A, Kansagara D, Forciea MA, et al. . Management of chronic insomnia disorder in adults: a clinical practice guideline from the American College of Physicians. Ann Intern Med 2016;165:125–33. 10.7326/M15-2175
    1. Espie CA, Kyle SD, Williams C, et al. . A randomized, placebo-controlled trial of online cognitive behavioral therapy for chronic insomnia disorder delivered via an automated media-rich web application. Sleep 2012;35:769–81. 10.5665/sleep.1872
    1. Zachariae R, Lyby MS, Ritterband LM, et al. . Efficacy of internet-delivered cognitive-behavioral therapy for insomnia—a systematic review and meta-analysis of randomized controlled trials. Sleep Med Rev 2016;30:1–10. 10.1016/j.smrv.2015.10.004
    1. Seyffert M, Lagisetty P, Landgraf J, et al. . Internet-delivered cognitive behavioral therapy to treat insomnia: a systematic review and meta-analysis. PLoS One 2016;11:e0149139 10.1371/journal.pone.0149139
    1. Ye YY, Zhang YF, Chen J, et al. . Internet-based cognitive behavioral therapy for insomnia (icbt-i) improves comorbid anxiety and depression-a meta-analysis of randomized controlled trials. PLoS One 2015;10:e0142258 10.1371/journal.pone.0142258
    1. Morin CM. Cognitive–behavioral approaches to the treatment of insomnia. J Clin Psychiatry 2004;65(Suppl 16):33–40.
    1. Eley TC, Hudson JL, Creswell C, et al. . Therapygenetics: the 5HTTLPR and response to psychological therapy. Mol Psychiatry 2012;17:236–7. 10.1038/mp.2011.132
    1. Hudson JL, Lester KJ, Lewis CM, et al. . Predicting outcomes following cognitive behaviour therapy in child anxiety disorders: the influence of genetic, demographic and clinical information. J Child Psychol Psychiatry 2013;54:1086–94. 10.1111/jcpp.12092
    1. Roberts S, Lester KJ, Hudson JL, et al. . Serotonin transporter [corrected] methylation and response to cognitive behaviour therapy in children with anxiety disorders. Transl Psychiatry 2014;4:e444 10.1038/tp.2014.83
    1. Hudson JL, Keers R, Roberts S, et al. . Clinical predictors of response to cognitive-behavioral therapy in pediatric anxiety disorders: the Genes for Treatment (GxT) Study. J Am Acad Child Adolesc Psychiatry 2015;54:454–63. 10.1016/j.jaac.2015.03.018
    1. Bryant RA, Felmingham KL, Falconer EM, et al. . Preliminary evidence of the short allele of the serotonin transporter gene predicting poor response to cognitive behavior therapy in posttraumatic stress disorder. Biol Psychiatry 2010;67:1217–9. 10.1016/j.biopsych.2010.03.016
    1. Lonsdorf TB, Rück C, Bergström J, et al. . The COMTval158met polymorphism is associated with symptom relief during exposure-based cognitive-behavioral treatment in panic disorder. BMC Psychiatry 2010;10:99 10.1186/1471-244X-10-99
    1. Andersson E, Rück C, Lavebratt C, et al. . Genetic polymorphisms in monoamine systems and outcome of cognitive behavior therapy for social anxiety disorder. PLoS One 2013;8:e79015 10.1371/journal.pone.0079015
    1. Lester KJ, Roberts S, Keers R, et al. . Non-replication of the association between 5HTTLPR and response to psychological therapy for child anxiety disorders. Br J Psychiatry 2016;208:182–8. 10.1192/bjp.bp.114.154997
    1. Bockting CL, Mocking RJ, Lok A, et al. . Therapygenetics: the 5HTTLPR as a biomarker for response to psychological therapy? Mol Psychiatry 2013;18:744–5. 10.1038/mp.2012.92
    1. Espie CA, Kyle SD, Hames P, et al. . The sleep condition indicator: a clinical screening tool to evaluate insomnia disorder. BMJ Open 2014;4:e004183 10.1136/bmjopen-2013-004183
    1. Buysse DJ, Reynolds CF, Monk TH, et al. . The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res 1989;28:193–213. 10.1016/0165-1781(89)90047-4
    1. Morin CM, Gaulier B, Barry T, et al. . Patients’ acceptance of psychological and pharmacological therapies for insomnia. Sleep 1992;15:302–5. 10.1093/sleep/15.4.302
    1. Vincent N, Lionberg C. Treatment preference and patient satisfaction in chronic insomnia. Sleep 2001;24:411–7. 10.1093/sleep/24.4.411
    1. Hunsley J. Development of the treatment acceptability questionnaire. J Psychopathol Behav Assess 1992;14:55–64. 10.1007/BF00960091
    1. Gregory AM, Buysse DJ, Willis TA, et al. . Associations between sleep quality and anxiety and depression symptoms in a sample of young adult twins and siblings. J Psychosom Res 2011;71:250–5. 10.1016/j.jpsychores.2011.03.011
    1. American Academy of Sleep Medicine. International classification of sleep disorders. 3rd edn Darien, IL: Americian Academy of Sleep Medicine, 2014.
    1. Denis D, French CC, Rowe R, et al. . A twin and molecular genetics study of sleep paralysis and associated factors. J Sleep Res 2015;24:438–46. 10.1111/jsr.12282
    1. Gorkana Surveys. Sleep paralysis. 2015. (accessed 9 Mar 2017).
    1. NIHR. BioResource for Mental Health. (accessed 31 Aug 2017).
    1. Freeman D, Sheaves B, Goodwin GM, et al. . Effects of cognitive behavioural therapy for insomnia on the mental health of university students: study protocol for a randomized controlled trial. Trials 2015;16:236 10.1186/s13063-015-0756-4
    1. Snow G. Blockrand: randomizationfor block random clinical trials. 2013.
    1. Espie CA, Inglis SJ, Harvey L. Predicting clinically significant response to cognitive behavior therapy for chronic insomnia in general medical practice: analysis of outcome data at 12 months posttreatment. J Consult Clin Psychol 2001;69:58–66. 10.1037/0022-006X.69.1.58
    1. Espie CA, MacMahon KM, Kelly HL, et al. . Randomized clinical effectiveness trial of nurse-administered small-group cognitive behavior therapy for persistent insomnia in general practice. Sleep 2007;30:574–84. 10.1093/sleep/30.5.574
    1. Espie CA, Fleming L, Cassidy J, et al. . Randomized controlled clinical effectiveness trial of cognitive behavior therapy compared with treatment as usual for persistent insomnia in patients with cancer. J Clin Oncol 2008;26:4651–8. 10.1200/JCO.2007.13.9006
    1. Sheaves B, Porcheret K, Tsanas A, et al. . Insomnia, nightmares, and chronotype as markers of risk for severe mental illness: results from a student population. Sleep 2016;39:173–81. 10.5665/sleep.5342
    1. Mollayeva T, Thurairajah P, Burton K, et al. . The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: a systematic review and meta-analysis. Sleep Med Rev 2016;25:52–73. 10.1016/j.smrv.2015.01.009
    1. Germain A, Hall M, Krakow B, et al. . A brief sleep scale for posttraumatic stress disorder: Pittsburgh sleep quality index addendum for PTSD. J Anxiety Disord 2005;19:233–44. 10.1016/j.janxdis.2004.02.001
    1. Insana SP, Hall M, Buysse DJ, et al. . Validation of the Pittsburgh Sleep Quality Index Addendum for posttraumatic stress disorder (PSQI-A) in U.S. male military veterans. J Trauma Stress 2013;26:192–200. 10.1002/jts.21793
    1. Nicassio PM, Mendlowitz DR, Fussell JJ, et al. . The phenomenology of the pre-sleep state: the development of the pre-sleep arousal scale. Behav Res Ther 1985;23:263–71. 10.1016/0005-7967(85)90004-X
    1. Broman J-E, Hetta J. Perceived pre-sleep arousal in patients with persistent psychophysiologic and psychiatric insomnia. Nord J Psychiatry 1994;48:203–7. 10.3109/08039489409081360
    1. Robertson JA, Broomfield NM, Espie CA. Prospective comparison of subjective arousal during the pre-sleep period in primary sleep-onset insomnia and normal sleepers. J Sleep Res 2007;16:230–8. 10.1111/j.1365-2869.2007.00579.x
    1. Espie CA, Inglis SJ, Harvey L, et al. . Insomniacs’ attributions. J Psychosom Res 2000;48:141–8. 10.1016/S0022-3999(99)00090-2
    1. Edinger JD, Wohlgemuth WK. Psychometric comparisons of the standard and abbreviated DBAS-10 versions of the dysfunctional beliefs and attitudes about sleep questionnaire. Sleep Med 2001;2:493–500. 10.1016/S1389-9457(01)00078-8
    1. Roenneberg T, Wirz-Justice A, Merrow M. Life between clocks: daily temporal patterns of human chronotypes. J Biol Rhythms 2003;18:80–90. 10.1177/0748730402239679
    1. Zavada A, Gordijn MC, Beersma DG, et al. . Comparison of the Munich chronotype questionnaire with the Horne-Ostberg’s morningness-eveningness score. Chronobiol Int 2005;22:267–78. 10.1081/CBI-200053536
    1. Levandovski R, Sasso E, Hidalgo MP. Chronotype: a review of the advances, limits and applicability of the main instruments used in the literature to assess human phenotype. Trends Psychiatry Psychother 2013;35:3–11. 10.1590/S2237-60892013000100002
    1. Cheyne JA. Waterloo unusual sleep experiences questionnaire-VIIIa. 2002. (accessed 08 April 2017).
    1. Cheyne JA, Newby-Clark IR, Rueffer SD. Relations among hypnagogic and hypnopompic experiences associated with sleep paralysis. J Sleep Res 1999;8:313–7. 10.1046/j.1365-2869.1999.00165.x
    1. Denis D, Poerio GL. Terror and bliss? Commonalities and distinctions between sleep paralysis, lucid dreaming, and their associations with waking life experiences. J Sleep Res 2017;26:38–47. 10.1111/jsr.12441
    1. Sharpless BA, Doghramji K. Sleep paralysis: historical, psychological, and medical perspectives. New York: Oxford University Press, 2015.
    1. Sharpless BA. Exploding head syndrome is common in college students. J Sleep Res 2015;24:447–9. 10.1111/jsr.12292
    1. Fulda S, Hornyak M, Müller K, et al. . Development and validation of the Munich Parasomnia Screening (MUPS): a questionnaire for parasomnias and nocturnal behaviors. Somnologie 2008;12:56–65. 10.1007/s11818-008-0336-x
    1. Spielberger C, Gorsuch R, Lushene R, et al. . Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press, 1983.
    1. Spielberger CD. State-Trait Anxiety Inventory: bibliography. 2nd edn Calo Alto, CA: Consulting Psychologists Press, 1989.
    1. Angold A, Costello E, Messer S, et al. . Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. Int J Methods Psychiatr Res 1995;5:237–49.
    1. American Psychiatric Association. Diagnostic and statistical manual of mental health disorders. 5th edn Washington, DC: American Psychiatric Association, 2013.
    1. Gregory AM, Agnew-Blais JC, Matthews T, et al. . ADHD and sleep quality: longitudinal analyses from childhood to early adulthood in a twin cohort. J Clin Child Adolesc Psychol 2017;46:284–94. 10.1080/15374416.2016.1183499
    1. Ronald A, Sieradzka D, Cardno AG, et al. . Characterization of psychotic experiences in adolescence using the specific psychotic experiences questionnaire: findings from a study of 5000 16-year-old twins. Schizophr Bull 2014;40:868–77. 10.1093/schbul/sbt106
    1. Freeman D, Garety PA, Bebbington PE, et al. . Psychological investigation of the structure of paranoia in a non-clinical population. Br J Psychiatry 2005;186:427–35. 10.1192/bjp.186.5.427
    1. Bell V, Halligan PW, Ellis HD. The Cardiff Anomalous Perceptions Scale (CAPS): a new validated measure of anomalous perceptual experience. Schizophr Bull 2006;32:366–77. 10.1093/schbul/sbj014
    1. Mason O, Linney Y, Claridge G. Short scales for measuring schizotypy. Schizophr Res 2005;78:293–6. 10.1016/j.schres.2005.06.020
    1. Taylor MJ, Gregory AM, Freeman D, et al. . Do sleep disturbances and psychotic-like experiences in adolescence share genetic and environmental influences? J Abnorm Psychol 2015;124:674–84. 10.1037/abn0000057
    1. Lukat J, Margraf J, Lutz R, et al. . Psychometric properties of the Positive Mental Health Scale (PMH-scale). BMC Psychol 2016;4:8 10.1186/s40359-016-0111-x
    1. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav 1983;24:385–96. 10.2307/2136404
    1. Lee E-H. Review of the psychometric evidence of the perceived stress scale. Asian Nurs Res 2012;6:121–7. 10.1016/j.anr.2012.08.004
    1. Brugha T, Bebbington P, Tennant C, et al. . The list of threatening experiences: a subset of 12 life event categories with considerable long-term contextual threat. Psychol Med 1985;15:189–94. 10.1017/S003329170002105X
    1. Coddington R. Life events scale for children and adolescents: measuring the stressfulness of a child’s environment : Stress in childhood. New York: AMS Press, 1983.
    1. Brugha TS, Cragg D. The list of threatening experiences: the reliability and validity of a brief life events questionnaire. Acta Psychiatr Scand 1990;82:77–81. 10.1111/j.1600-0447.1990.tb01360.x
    1. McAdams TA, Gregory AM, Rowe R, et al. . The Genesis 12-19 (G1219) Study: a twin and sibling study of gene–environment interplay and adolescent development in the UK. Twin Res Hum Genet 2013;16:134–43. 10.1017/thg.2012.83
    1. Currie C, Molcho M, Boyce W, et al. . Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc Sci Med 2008;66:1429–36. 10.1016/j.socscimed.2007.11.024
    1. Kendler KS, Prescott CA. Caffeine intake, tolerance, and withdrawal in women: a population-based twin study. Am J Psychiatry 1999;156:223–8. 10.1176/ajp.156.2.223
    1. Foulds J, Veldheer S, Yingst J, et al. . Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users. Nicotine Tob Res 2015;17:186–92. 10.1093/ntr/ntu204
    1. Etter JF, Bullen C. Electronic cigarette: users profile, utilization, satisfaction and perceived efficacy. Addiction 2011;106:2017–28. 10.1111/j.1360-0443.2011.03505.x
    1. Etter JF. Electronic cigarettes: a survey of users. BMC Public Health 2010;10:231 10.1186/1471-2458-10-231
    1. Magnusson K. Interpreting Cohen’s d effect size: R Psychologist.

Source: PubMed

3
구독하다