Individual Differences in Diabetes Risk: Role of Sleep Disturbances

Abstract

We have performed the spectral analysis of the sleep EEG in what is likely the largest group of subjects ever assembled and have demonstrated marked effects of age, sex and ethnicity. In these healthy non-obese volunteers who had demographics similar to the demographics of active duty Army personnel, BMI did not impact SWA. Between the ages of 21 and 30, there are large inter-individual variations in SWA that are only partly predicted by sex and ethnicity. Our hypothesis is that these individual differences may partly predict diabetes risk. We have demonstrated the feasibility of the clinical study and successfully obtained all planned assessments. The effort to increase our data base will be valuable to the entire project. While progressing through the analytical and experimental work, we have prepared two reviews on sleep loss and the risk of obesity and diabetes.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2009
Accession Number
ADA512581

Entities

People

  • Eve Van Cauter

Organizations

  • University of Chicago

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Active Duty
  • Appetite
  • Army Personnel
  • Body Composition
  • Body Weight
  • Brain
  • Cysts
  • Databases
  • Diabetes Mellitus
  • Dyssomnias
  • Health Services
  • Institutional Review Board
  • Medical Personnel
  • Metabolism
  • Respiration Disorders
  • Sleep Deprivation
  • Sleep Disorders

Fields of Study

  • Medicine
  • Psychology

Readers

  • Naval Personnel Management
  • Neuroscience
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.