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Individual Differences in Diabetes Risk: Role of Sleep Disturbances

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00989976
Recruitment Status : Completed
First Posted : October 6, 2009
Last Update Posted : December 8, 2014
Information provided by (Responsible Party):
University of Chicago

Brief Summary:
The hypothesis for this study is that some individuals may be at much higher risk to develop type 2 diabetes and that the individual diabetes risk will be predicted by the individual level of slow wave sleep activity (SWA).

Condition or disease Intervention/treatment Phase
Sleep Diabetes Behavioral: normal sleep times Behavioral: bedtime restriction Not Applicable

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Study Type : Interventional  (Clinical Trial)
Actual Enrollment : 16 participants
Allocation: Randomized
Intervention Model: Crossover Assignment
Masking: None (Open Label)
Primary Purpose: Basic Science
Official Title: Individual Differences in Diabetes Risk: Role of Sleep Disturbances
Study Start Date : February 2009
Actual Primary Completion Date : August 2014
Actual Study Completion Date : August 2014

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Sleep Disorders

Arm Intervention/treatment
8.5 h sleep
Subjects will have normal sleep times
Behavioral: normal sleep times
8.5 h bedtimes

restricted bedtimes
4.5 h bedtimes
Behavioral: bedtime restriction
4.5 h restricted bedtimes

Primary Outcome Measures :
  1. diabetes risk as assessed by disposition index [ Time Frame: Dec. 2011 ]

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 29 Years   (Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

Inclusion Criteria:

  • Healthy men and women with low Slow Wave Sleep Activity (SWA) or high SWA with the gender distribution in each group matching the gender distribution of active duty Army personnel (85% men; 15% women) based on the following inclusion criteria:

    • age 18 to 29 years,
    • normal weight or modestly overweight (BMI ≤ 27 kg/m2 for women, BMI ≤ 28 kg/m2 for men),
    • normal findings on clinical examination, normal routine laboratory tests results, normal EKG, no history of psychiatric, endocrine, cardiac or sleep disorders.
  • Only subjects who have regular life styles (no shift work, no travel across time zone during the past 4 weeks), habitual bedtimes between 7.0-8.5 hours, and do not take medications will be recruited.
  • An overnight polysomnography will be performed to rule out sleep-disordered breathing (apnea-hypopnea index > 5/hour) and periodic limb movement disorder (PLM arousal index >1/hour).
  • Women taking hormonal contraceptive therapy and pregnant women will be excluded. In women, all studies will be initiated in the early follicular phase.

Exclusion Criteria:

  • Tobacco use.
  • Habitual alcohol use of more than 2 1 drink per day.
  • Excessive caffeine intake of more than 300 mg per day and individuals with a metal implant or another metal object in their body.

We estimate that we will need to recruit at least 60-70 individuals to obtain two gender-matched groups of 16 individuals with either low or high SWA.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT00989976

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United States, Illinois
The University of Chicago
Chicago, Illinois, United States, 60637
Sponsors and Collaborators
University of Chicago
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Principal Investigator: Eve Van Cauter, PhD University of Chicago

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Responsible Party: University of Chicago Identifier: NCT00989976     History of Changes
Other Study ID Numbers: #16028A
DOD PR064727
First Posted: October 6, 2009    Key Record Dates
Last Update Posted: December 8, 2014
Last Verified: December 2014

Keywords provided by University of Chicago:
Diabetes Risk

Additional relevant MeSH terms:
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Diabetes Mellitus
Sleep Wake Disorders
Glucose Metabolism Disorders
Metabolic Diseases
Endocrine System Diseases
Nervous System Diseases
Mental Disorders
Neurologic Manifestations
Signs and Symptoms