- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06067139
Sleep for Health Study on the Effects of Cognitive Behavioral Therapy for Insomnia on Diabetes Risk
Sleep for Health: A Randomized Clinical Trial Examining the Effects of Cognitive Behavioral Therapy for Insomnia on Diabetes Risk
Study Overview
Status
Intervention / Treatment
Detailed Description
Type 2 diabetes mellitus (T2D) is a major cause of blindness, kidney failure, cardiovascular disease, amputations, reduced quality of life, and premature death in the United States, and it is expected that one in three Americans will have T2D by 2050. To stem the tide of this health crisis, new strategies are needed to prevent the progression to T2D from prediabetes-elevated glucose levels that are not yet in the diabetes range. A growing body of research suggests that insomnia is a major modifiable risk factor for progression to diabetes. The proposed study would build off a promising feasibility study to test whether providing cognitive behavioral therapy for insomnia (CBT-I) to patients with prediabetes results in a reduction in glucose levels compared to a patient education control program. If so, this insomnia treatment could be an effective tool to prevent diabetes.
Individuals with prediabetes and insomnia will be randomized to receive six sessions of a deployment-ready digital CBT-I program, providing standard-of-care treatment for insomnia (intervention arm, n = 150), or a patient education website providing nontailored material about insomnia (control arm, n = 150). The investigators will complete assessments at baseline, at 11 weeks (after the conclusion of the intervention and control programs), and at 33 weeks post-baseline, measuring hyperglycemia, objective and subjective measures of sleep, and potential mediating variables including diet, exercise, and mood.
The investigators will assess (1) whether individuals randomized to the intervention arm have lower rates of hyperglycemia, as measured by oral glucose tolerance testing and various secondary measures, than individuals randomized to the control arm at 11 weeks and 33 weeks after baseline; (2) whether improvements in sleep after baseline are associated with decreases in hyperglycemia, regardless of study arm; and (3) whether any effects of the intervention on hyperglycemia are mediated by improvements in sleep, diet, exercise, and/or mood.
This research will serve as a critical step in identifying a potentially dramatic tool for improving health outcomes for Americans at risk of T2DM. Sleep interventions can lead to sustained improvements that are intrinsically rewarding to patients. If effective, digital CBT-I could provide a powerful pathway to preventing diabetes for millions of patients with prediabetes.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Stefan Massimino, MS
- Phone Number: 971-232-9343
- Email: stefan.massimino@kpchr.org
Study Contact Backup
- Name: Chris Catlin
- Phone Number: 971-369-0655
- Email: chris.l.catlin@kpchr.org
Study Locations
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Oregon
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Portland, Oregon, United States, 97227
- Recruiting
- Kaiser Permanente Center for Health Research
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Contact:
- Stefan Massimino, MS
- Phone Number: 971-232-9343
- Email: stefan.massimino@kpchr.org
-
Contact:
- Chris Catlin
- Phone Number: 971-369-0655
- Email: chris.l.catlin@kpchr.org
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Principal Investigator:
- Erin LeBlanc, MD
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Sub-Investigator:
- Greg Clarke, PhD
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age ≥ 22 years and < 80 years of age
- Prediabetes
- Insomnia
- Regular access to device with internet access
- Adequate data at baseline
Exclusion Criteria:
- BMI > 40 kg/m2
- Sleep comorbidities detected in medical record or via medical history
- Shift work or significant, externally imposed irregular sleep schedule
- moderate to severe OSA by home sleep apnea test as part of trial protocol
- Received a full course of CBT-I in the last 12 months
- Current use of medication with glycemic effects:
- History of type 1 or type 2 diabetes or recent/planned use of hypoglycemic agents (e.g., metformin, insulin)
- Recent history of bariatric surgery or planning bariatric surgery in the next year
- Current or recent use of weight loss meds
- Unstable sleep medication regimen (recent change to schedule or dosage)
- Significant comorbidity that may interfere with CBT-I uptake or increase risks
- Unwilling or unable to limit heavy machinery use/long bouts of driving or unstable illness that would be worsened by sleep restriction
- High risk of falls
- Epilepsy
- Medical conditions that interfere with dCBT-I or contribute to insomnia or diabetes risk (e.g., hyperthyroidism, significant kidney disease, active cancer treatment, any medical condition that requires chronic steroid use)
- Significant alcohol or substance use disorder
- Active or recent history of eating disorder, recent weight change of >10%
- Women: pregnancy (current or planned), breastfeeding, < 1 year postpartum
- Use of hydroxyurea
- Extensive skin changes or adhesive allergy making CGM sensor use problematic
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Digital cognitive behavioral therapy (dCBT-I)
CBT-I is designed to change sleep habits and scheduling factors that affect sleep, and to address misconceptions about sleep and insomnia that perpetuate sleep difficulties.
The investigators will employ SHUTi, which is an extensively studied dCBT-I program.
SHUTi is intended to improve insomnia symptoms by providing neurobehavioral intervention (cognitive behavioral therapy for insomnia - CBT-I) in adults with chronic insomnia.
It is a six-core internet-delivered CBT-I web-based app that is run through a browser.
It is accessible via iPhone/iPad, Android phone/tablet, computer or laptop (any device with a browser).
SHUTi follows evidence-based CBT-I principles.
|
Each core includes a variety of interactive features, such as animations, vignettes, "myth" and "reality" buttons that reveal common misperceptions and facts about sleep, "learn more" buttons that provide in-depth information about a topic, and quizzes.
All cores follow a similar structure with objectives, main content, homework, and review.
Participants are free to revisit cores as many times as they like.
|
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Active Comparator: Patient Education (PE)
Participants will be given access to a patient education website.
It will provide nontailored material about insomnia symptoms; the impact, prevalence, and causes of insomnia; and basic lifestyle, environmental, and behavioral strategies to improve sleep.
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The PE website will present content in a simple, static form, without interactive components; and all content on the website will be provided at once, rather than in modules that unlock over time.
The PE website will also not provide personalized or individually tailored treatment recommendations.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
2-hour post-load glucose (2hPG) (mg/dL)
Time Frame: V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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2-hour post-load glucose (mg/dL)
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V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Hemoglobin A1c (A1C) (percentage)
Time Frame: V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
|
Plasma HgB A1C (percentage)
|
V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
|
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Fasting plasma glucose (FPG) (mg/dL)
Time Frame: V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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Fasting plasma glucose levels (mg/dL)
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V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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Mean glucose on CGM (mg/dL)
Time Frame: V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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Average blood glucose levels throughout CGM wear duration (mg/dL)
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V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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Insulin resistance score (probability ranking, Calculated using the insulin and C-peptide concentrations converted to pmol/L)
Time Frame: V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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Insulin resistance score - (probability ranking, Calculated using the insulin and C-peptide concentrations converted to pmol/L)
|
V1 (baseline), V2 (11 weeks after randomization), V3 (33 weeks from randomization)
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Erin LeBlanc, MD, Kaiser Permanente
Publications and helpful links
General Publications
- Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation. 2020 Mar 3;141(9):e139-e596. doi: 10.1161/CIR.0000000000000757. Epub 2020 Jan 29.
- Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002 Feb 7;346(6):393-403. doi: 10.1056/NEJMoa012512.
- Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM. Increased prevalence of sleep-disordered breathing in adults. Am J Epidemiol. 2013 May 1;177(9):1006-14. doi: 10.1093/aje/kws342. Epub 2013 Apr 14.
- Tabak AG, Herder C, Rathmann W, Brunner EJ, Kivimaki M. Prediabetes: a high-risk state for diabetes development. Lancet. 2012 Jun 16;379(9833):2279-90. doi: 10.1016/S0140-6736(12)60283-9. Epub 2012 Jun 9.
- Patel SR, Hu FB. Short sleep duration and weight gain: a systematic review. Obesity (Silver Spring). 2008 Mar;16(3):643-53. doi: 10.1038/oby.2007.118. Epub 2008 Jan 17.
- The Diabetes Prevention Program Research Group. The Diabetes Prevention Program: baseline characteristics of the randomized cohort. The Diabetes Prevention Program Research Group. Diabetes Care. 2000 Nov;23(11):1619-29. doi: 10.2337/diacare.23.11.1619.
- Buxton OM, Pavlova M, Reid EW, Wang W, Simonson DC, Adler GK. Sleep restriction for 1 week reduces insulin sensitivity in healthy men. Diabetes. 2010 Sep;59(9):2126-33. doi: 10.2337/db09-0699. Epub 2010 Jun 28.
- Spiegel K, Leproult R, Van Cauter E. Impact of sleep debt on metabolic and endocrine function. Lancet. 1999 Oct 23;354(9188):1435-9. doi: 10.1016/S0140-6736(99)01376-8.
- Lindstrom J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksson J, Uusitupa M, Tuomilehto J; Finnish Diabetes Prevention Study Group. The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care. 2003 Dec;26(12):3230-6. doi: 10.2337/diacare.26.12.3230.
- Cappuccio FP, D'Elia L, Strazzullo P, Miller MA. Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis. Diabetes Care. 2010 Feb;33(2):414-20. doi: 10.2337/dc09-1124. Epub 2009 Nov 12.
- Nedeltcheva AV, Kilkus JM, Imperial J, Kasza K, Schoeller DA, Penev PD. Sleep curtailment is accompanied by increased intake of calories from snacks. Am J Clin Nutr. 2009 Jan;89(1):126-33. doi: 10.3945/ajcn.2008.26574. Epub 2008 Dec 3.
- Nedeltcheva AV, Kessler L, Imperial J, Penev PD. Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance. J Clin Endocrinol Metab. 2009 Sep;94(9):3242-50. doi: 10.1210/jc.2009-0483. Epub 2009 Jun 30.
- Asarnow JR, Jaycox LH, Duan N, LaBorde AP, Rea MM, Murray P, Anderson M, Landon C, Tang L, Wells KB. Effectiveness of a quality improvement intervention for adolescent depression in primary care clinics: a randomized controlled trial. JAMA. 2005 Jan 19;293(3):311-9. doi: 10.1001/jama.293.3.311.
- Centers for Disease Control and Prevention. Diabetes Report Card 2014. Atlanta, GA: Centers for Disease Control and Prevention, US Dept of Health and Human Services, 2015.
- LeBlanc ES, Smith NX, Nichols GA, Allison MJ, Clarke GN. Insomnia is associated with an increased risk of type 2 diabetes in the clinical setting. BMJ Open Diabetes Res Care. 2018 Dec 26;6(1):e000604. doi: 10.1136/bmjdrc-2018-000604. eCollection 2018.
- Anothaisintawee T, Reutrakul S, Van Cauter E, Thakkinstian A. Sleep disturbances compared to traditional risk factors for diabetes development: Systematic review and meta-analysis. Sleep Med Rev. 2016 Dec;30:11-24. doi: 10.1016/j.smrv.2015.10.002. Epub 2015 Oct 21.
- Hatoum HT, Kania CM, Kong SX, Wong JM, Mendelson WB. Prevalence of insomnia: a survey of the enrollees at five managed care organizations. Am J Manag Care. 1998 Jan;4(1):79-86.
- van Leeuwen WM, Hublin C, Sallinen M, Harma M, Hirvonen A, Porkka-Heiskanen T. Prolonged sleep restriction affects glucose metabolism in healthy young men. Int J Endocrinol. 2010;2010:108641. doi: 10.1155/2010/108641. Epub 2010 Apr 19.
- Leproult R, Holmback U, Van Cauter E. Circadian misalignment augments markers of insulin resistance and inflammation, independently of sleep loss. Diabetes. 2014 Jun;63(6):1860-9. doi: 10.2337/db13-1546. Epub 2014 Jan 23.
- Stamatakis KA, Punjabi NM. Effects of sleep fragmentation on glucose metabolism in normal subjects. Chest. 2010 Jan;137(1):95-101. doi: 10.1378/chest.09-0791. Epub 2009 Jun 19.
- Gale JE, Cox HI, Qian J, Block GD, Colwell CS, Matveyenko AV. Disruption of circadian rhythms accelerates development of diabetes through pancreatic beta-cell loss and dysfunction. J Biol Rhythms. 2011 Oct;26(5):423-33. doi: 10.1177/0748730411416341.
- Patel SR. Reduced sleep as an obesity risk factor. Obes Rev. 2009 Nov;10 Suppl 2:61-8. doi: 10.1111/j.1467-789X.2009.00664.x.
- Patel SR, Blackwell T, Redline S, Ancoli-Israel S, Cauley JA, Hillier TA, Lewis CE, Orwoll ES, Stefanick ML, Taylor BC, Yaffe K, Stone KL; Osteoporotic Fractures in Men Research Group; Study of Osteoporotic Fractures Research Group. The association between sleep duration and obesity in older adults. Int J Obes (Lond). 2008 Dec;32(12):1825-34. doi: 10.1038/ijo.2008.198. Epub 2008 Oct 21.
- Booth JN, Bromley LE, Darukhanavala AP, Whitmore HR, Imperial JG, Penev PD. Reduced physical activity in adults at risk for type 2 diabetes who curtail their sleep. Obesity (Silver Spring). 2012 Feb;20(2):278-84. doi: 10.1038/oby.2011.306. Epub 2011 Oct 13.
- Broussard JL, Wroblewski K, Kilkus JM, Tasali E. Two Nights of Recovery Sleep Reverses the Effects of Short-term Sleep Restriction on Diabetes Risk. Diabetes Care. 2016 Mar;39(3):e40-1. doi: 10.2337/dc15-2214. Epub 2016 Jan 19. No abstract available.
- Thiesse L, Rudzik F, Spiegel K, Leproult R, Pieren R, Wunderli JM, Foraster M, Heritier H, Eze IC, Meyer M, Vienneau D, Brink M, Probst-Hensch N, Roosli M, Cajochen C. Adverse impact of nocturnal transportation noise on glucose regulation in healthy young adults: Effect of different noise scenarios. Environ Int. 2018 Dec;121(Pt 1):1011-1023. doi: 10.1016/j.envint.2018.05.036. Epub 2018 Jul 4.
- Cho YW, Kim KT, Moon HJ, Korostyshevskiy VR, Motamedi GK, Yang KI. Comorbid Insomnia With Obstructive Sleep Apnea: Clinical Characteristics and Risk Factors. J Clin Sleep Med. 2018 Mar 15;14(3):409-417. doi: 10.5664/jcsm.6988.
- American Diabetes Association. 3. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021 Jan;44(Suppl 1):S34-S39. doi: 10.2337/dc21-S003.
- Kothari V, Cardona Z, Chirakalwasan N, Anothaisintawee T, Reutrakul S. Sleep interventions and glucose metabolism: systematic review and meta-analysis. Sleep Med. 2021 Feb;78:24-35. doi: 10.1016/j.sleep.2020.11.035. Epub 2020 Dec 7.
- Hanefeld M, Sulk S, Helbig M, Thomas A, Kohler C. Differences in Glycemic Variability Between Normoglycemic and Prediabetic Subjects. J Diabetes Sci Technol. 2014 Mar;8(2):286-290. doi: 10.1177/1932296814522739. Epub 2014 Mar 2.
- Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed: Lawrence Erlbaum Associates; 1988.
- Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons, Inc.; 1987.
- Krishnan V, Collop NA. Gender differences in sleep disorders. Curr Opin Pulm Med. 2006 Nov;12(6):383-9. doi: 10.1097/01.mcp.0000245705.69440.6a.
- Nosek BA, Spies JR, Motyl M. Scientific Utopia: II. Restructuring Incentives and Practices to Promote Truth Over Publishability. Perspect Psychol Sci. 2012 Nov;7(6):615-31. doi: 10.1177/1745691612459058.
- LeBlanc ES, Smith N, Hwang D, Young DR, Oshiro C, Mayhew M, Massimino S, Catlin C, Clarke G. The sleep for health study: A randomized clinical trial of the impact of insomnia treatment on glycemia in people with prediabetes. Contemp Clin Trials. 2025 Feb;149:107796. doi: 10.1016/j.cct.2024.107796. Epub 2024 Dec 25.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Nervous System Diseases
- Mental Disorders
- Metabolic Diseases
- Glucose Metabolism Disorders
- Diabetes Mellitus
- Sleep Wake Disorders
- Sleep Disorders, Intrinsic
- Dyssomnias
- Nutritional and Metabolic Diseases
- Diabetes Mellitus, Type 2
- Sleep Initiation and Maintenance Disorders
- Prediabetic State
- Health Services
- Health Care Facilities Workforce and Services
- Preventive Health Services
- Health Education
- Patient Education as Topic
Other Study ID Numbers
- R01DK132229 (U.S. NIH Grant/Contract)
- 1R01DK132229-01A1 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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