Personalizing Sleep Interventions to Prevent Type 2 Diabetes in Community Dwelling Adults With Pre-Diabetes
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Diet and exercise interventions have made great strides in preventing and delaying type 2 diabetes (T2D) onset: benefits that surpass pharmacological interventions in some people. Disappointingly, only half the amount of weight loss and wide ranges in T2D risk reduction have been reported when translating these programs into community settings using less intense, more affordable interventions. Low program participation rates, underscored by reports that only 50% of Americans with prediabetes attempt lifestyle modifications, suggest that approaches focused on calorie restriction and physical activity are only effective for select, highly motivated individuals. Expanding success for heretofore resistant groups and optimizing long term maintenance requires novel approaches beyond diet and exercise. One novel approach is improving sleep.
Associations between sleep duration, sleep patterns, and glucose regulation in healthy adults suggest that interventions targeting these dimensions of sleep will improve glucose regulation. Improved insulin sensitivity has been reported in a small community based daily sleep extension study (N= 16), as well as in a 2-day lab based sleep extension study using a personalized "catch up" sleep intervention in healthy adults (N = 19,). Limited by small sample sizes, controlled lab conditions, and the exclusion of persons at greatest risk for T2D, the role of sleep in mitigating T2D risk remains uncertain. Moreover, sleep extension interventions have applied a generic approach to extending sleep despite variability in individual sleep need. The sleep extension intervention in this study will address how to extend sleep based on individual responses to the intervention.
This study will test the effects of a personalized daily sleep extension intervention versus habitual sleep patterns on the percentage of time glucose is 140 mg/dL in sleep restricted community-dwelling adults at high risk for T2D. Wearable sensor technologies (continuous glucose monitoring and accelerometry) will be used. This study will inform person-specific sleep interventions that improve glycemic responses, thus providing treatment for the pre-diabetic state.
Hypothesis: Personalized daily sleep extension will result in a lower % time glucose is ≥ 140 compared to habitual sleep after 8 weeks of treatment initiation.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Susan K Malone, PhD
- Phone Number: 732 693-8081
- Email: sm7760@nyu.edu
Study Locations
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New York
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New York, New York, United States, 10010
- NYU Langone
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Glycated hemoglobin (Hemoglobin A1C) greater than or equal to 5.7% and less than 6.5%.
- Restricted sleep defined as less than 6.5 hours average work day sleep (actigraphy confirmed).
Exclusion Criteria:
- type 2 diabetes (Hemoglobin A1C greater than or equal to 6.5%)
- pregnancy or lactation (self-report)
- hemophilia (self-report)
- moderate/severe or severe depression (PHRQ greater than or equal to 15))
- alcohol abuse/dependence (Alcohol Use Disorders Identification Test greater than or equal to 10).
- sleep promoting medications (self-report)
hypoglycemic agents (except metformin) (self-report)
--current chemotherapy treatments (self-report)
- Shift work during the past 2 months or planned during intervention period (self-report).
- Trans-meridian travel in the past 4 weeks or planned during intervention period (self-report).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Sleep extension
Participants in the sleep extension group will keep daily sleep diaries.
Sleep diaries will be reviewed with the participant and an instructor trained in Cognitive Behavioral Therapy for Insomnia (CBTI) on a weekly basis.
These weekly sessions will take place by telephone or videoconferencing.
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Based on CBTI principles, the instructor will prescribe bed times and wake times each week to allow for gradual increases in sleep opportunity.
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Active Comparator: Habitual sleep
Participants in the habitual sleep group will be instructed to keep their habitual bedtimes and wake times.
Participants will keep daily sleep diaries that will we reviewed by a study team member each week.
These weekly sessions will take place by telephone or videoconferencing.
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The study team member will monitor and encourage participants to keep bedtimes and wake times that matched their baseline bedtimes and wake times.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in the Percent Time Glucose is ≥ 140 mg/dL From Pre- to Post-intervention
Time Frame: pre-treatment at baseline and post-treatment at ~12 weeks
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The primary outcome will be the change in the percent time glucose is ≥ 140mg/dL from pre- to post-intervention estimated from ~7 days of continuous glucose monitoring.
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pre-treatment at baseline and post-treatment at ~12 weeks
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Susan K Malone, PhD, New York University
Publications and helpful links
General Publications
- 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.
- Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M; Finnish Diabetes Prevention Study Group. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001 May 3;344(18):1343-50. doi: 10.1056/NEJM200105033441801.
- Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, Hu ZX, Lin J, Xiao JZ, Cao HB, Liu PA, Jiang XG, Jiang YY, Wang JP, Zheng H, Zhang H, Bennett PH, Howard BV. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care. 1997 Apr;20(4):537-44. doi: 10.2337/diacare.20.4.537.
- Yoon U, Kwok LL, Magkidis A. Efficacy of lifestyle interventions in reducing diabetes incidence in patients with impaired glucose tolerance: a systematic review of randomized controlled trials. Metabolism. 2013 Feb;62(2):303-14. doi: 10.1016/j.metabol.2012.07.009. Epub 2012 Sep 7.
- 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.
- Holliday EG, Magee CA, Kritharides L, Banks E, Attia J. Short sleep duration is associated with risk of future diabetes but not cardiovascular disease: a prospective study and meta-analysis. PLoS One. 2013 Nov 25;8(11):e82305. doi: 10.1371/journal.pone.0082305. eCollection 2013.
- Perreault L, Temprosa M, Mather KJ, Horton E, Kitabchi A, Larkin M, Montez MG, Thayer D, Orchard TJ, Hamman RF, Goldberg RB; Diabetes Prevention Program Research Group. Regression from prediabetes to normal glucose regulation is associated with reduction in cardiovascular risk: results from the Diabetes Prevention Program outcomes study. Diabetes Care. 2014 Sep;37(9):2622-31. doi: 10.2337/dc14-0656. Epub 2014 Jun 26.
- Schellenberg ES, Dryden DM, Vandermeer B, Ha C, Korownyk C. Lifestyle interventions for patients with and at risk for type 2 diabetes: a systematic review and meta-analysis. Ann Intern Med. 2013 Oct 15;159(8):543-51. doi: 10.7326/0003-4819-159-8-201310150-00007.
- Linmans JJ, Spigt MG, Deneer L, Lucas AE, de Bakker M, Gidding LG, Linssen R, Knottnerus JA. Effect of lifestyle intervention for people with diabetes or prediabetes in real-world primary care: propensity score analysis. BMC Fam Pract. 2011 Sep 13;12:95. doi: 10.1186/1471-2296-12-95.
- Aziz Z, Absetz P, Oldroyd J, Pronk NP, Oldenburg B. A systematic review of real-world diabetes prevention programs: learnings from the last 15 years. Implement Sci. 2015 Dec 15;10:172. doi: 10.1186/s13012-015-0354-6.
- Leproult R, Deliens G, Gilson M, Peigneux P. Beneficial impact of sleep extension on fasting insulin sensitivity in adults with habitual sleep restriction. Sleep. 2015 May 1;38(5):707-15. doi: 10.5665/sleep.4660.
- Geiss LS, James C, Gregg EW, Albright A, Williamson DF, Cowie CC. Diabetes risk reduction behaviors among U.S. adults with prediabetes. Am J Prev Med. 2010 Apr;38(4):403-9. doi: 10.1016/j.amepre.2009.12.029.
- Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V; Indian Diabetes Prevention Programme (IDPP). The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia. 2006 Feb;49(2):289-97. doi: 10.1007/s00125-005-0097-z. Epub 2006 Jan 4.
- Cardona-Morrell M, Rychetnik L, Morrell SL, Espinel PT, Bauman A. Reduction of diabetes risk in routine clinical practice: are physical activity and nutrition interventions feasible and are the outcomes from reference trials replicable? A systematic review and meta-analysis. BMC Public Health. 2010 Oct 29;10:653. doi: 10.1186/1471-2458-10-653.
- Diabetes Prevention Program Research Group; Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, Brenneman AT, Brown-Friday JO, Goldberg R, Venditti E, Nathan DM. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009 Nov 14;374(9702):1677-86. doi: 10.1016/S0140-6736(09)61457-4. Epub 2009 Oct 29.
- Dunkley AJ, Bodicoat DH, Greaves CJ, Russell C, Yates T, Davies MJ, Khunti K. Diabetes prevention in the real world: effectiveness of pragmatic lifestyle interventions for the prevention of type 2 diabetes and of the impact of adherence to guideline recommendations: a systematic review and meta-analysis. Diabetes Care. 2014 Apr;37(4):922-33. doi: 10.2337/dc13-2195.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- R00NR017416 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
The investigators are committed to the principles that NIH has articulated regarding the sharing of study results and resources. The Investigators will make unique research resources readily available for research purposes to individuals within the scientific community after publication. The privacy and rights of participants in the research study will be protected by redacting all identifiers and adopting strategies to minimize the risk of unauthorized disclosure of identifiers in accordance with the data security plan and the participant's Institutional Review Board (IRB)-approved informed consent. The consent language for the R00 study will be worded for possible broad data sharing.
Sharing Model Organisms Not Applicable Genome Wide Association Studies Not Applicable
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
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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