Individual Differences in Diabetes Risk: Role of Sleep Disturbances

The University of Chicago

Status

Completed

Conditions

Diabetes

Sleep

Treatments

Behavioral: normal sleep times

Behavioral: bedtime restriction

Study type

Interventional

Funder types

Other

Identifiers

NCT00989976

DOD PR064727

#16028A

Details and patient eligibility

About

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).

Enrollment

16 patients

Sex

All

Ages

18 to 29 years old

Volunteers

Accepts Healthy Volunteers

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.