Individual Differences in Diabetes Risk: Role of Slow WaveSleep

This study has been completed.
Information provided by (Responsible Party):
University of Chicago Identifier:
First received: October 1, 2009
Last updated: September 4, 2013
Last verified: September 2013

This study will examine the relationship between the amount of slow wave sleep (deep sleep) and the ability of the body to bring the blood sugar level to a normal range after receiving glucose.

Condition Intervention
Behavioral: baseline study

Study Type: Observational
Study Design: Observational Model: Cohort
Official Title: Ancillary Studies to Major Ongoing NIDDK Clinical Research Studies

Resource links provided by NLM:

Further study details as provided by University of Chicago:

Primary Outcome Measures:
  • Amount of Slow Wave Activity determines insulin sensitivity. [ Time Frame: 2 days ] [ Designated as safety issue: No ]

Biospecimen Retention:   Samples Without DNA


Enrollment: 5
Study Start Date: November 2008
Study Completion Date: September 2010
Primary Completion Date: September 2010 (Final data collection date for primary outcome measure)
Groups/Cohorts Assigned Interventions
normal healthy men and women
Behavioral: baseline study
normal bedtimes


Ages Eligible for Study:   18 Years to 20 Years
Genders Eligible for Study:   Both
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population

normal healthy men and women


Inclusion Criteria:

  • healthy volunteers age 18-20 with a BMI < 27kg/m2 in women and < 28 kg/m2 in men with normal findings on clinical examination, routine laboratory tests and EKG
  • only subjects who have regular life styles (no shift work, no travel across time zone during the previous 4 weeks)
  • habitual bedtimes between 7.0-8.5 hours/night
  • do not take medications will be recruited

Exclusion Criteria:

  • women taking hormonal contraceptive therapy and pregnant women will be excluded
  • individuals with a history of psychiatric, endocrine, cardiac or sleep disorders will be excluded
  • other exclusion criteria will be: tobacco use, habitual alcohol use of more than 1 drink per day, excessive caffeine intake of more than 300 mg per day
  Contacts and Locations
Please refer to this study by its identifier: NCT00989378

United States, Illinois
University of Chicago
Chicago, Illinois, United States, 60637
Sponsors and Collaborators
University of Chicago
Principal Investigator: Eve Van Cauter, Ph.D. University of Chicago
  More Information

No publications provided

Responsible Party: University of Chicago Identifier: NCT00989378     History of Changes
Other Study ID Numbers: 16026A
Study First Received: October 1, 2009
Last Updated: September 4, 2013
Health Authority: United States: Institutional Review Board

Keywords provided by University of Chicago:
determine association between sleep characteristics and diabetes risk

Additional relevant MeSH terms:
Diabetes Mellitus
Glucose Metabolism Disorders
Metabolic Diseases
Endocrine System Diseases processed this record on April 15, 2014