Cardiometabolic Risk of Shiftwork

University of Chicago64 enrolled

Overview

The overall goal of the present application is to test the hypothesis that shift workers, who are chronically exposed to circadian misalignment and sleep loss, have a higher cardio-metabolic risk than day workers, and that the accumulated sleep debt and the degree of circadian misalignment both predict their elevated cardio-metabolic risk.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Sleep Deprivation Circadian Dysregulation Shift-Work Sleep Disorder

Interventions

sleep extension & circadian alignmentBEHAVIORAL

Both groups of workers will undergo a 1-week period of fixed bedtimes, light-dark cycles and mealtimes in the laboratory to pay the sleep debt and align the circadian system

Eligibility

Sex: ALLMin age: 18 YearsMax age: 50 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Day workers and shift workers at the University of Chicago, University of Chicago Medical Center, or another Chicago area medical center who have maintained their work schedule (at least 30 hours/week) for at least 6 months. * Individuals who have been shift workers for less than 10 years; body mass index \<40 kg/m2; * No major illness * No history of psychiatric, endocrine, cardiac or sleep disorders * Those with hypertension or dyslipidemia will be included if these conditions are controlled by a stable treatment. * Women taking oral contraceptive or hormonal replacement therapy will be included only if they plan to stay on a stable regimen throughout the study. * Age must be between 18 and 50 years Exclusion Criteria: * Individuals who have worked at the University of Chicago, University of Chicago Medical Center, or another Chicago area medical center in their current position for less than 6 months. * Individuals who have been shift workers for more than 10 years * BMI\>40 kg/m2 * Individuals with a major illness (e.g. diabetes, sleep disorder)

Locations (1)

The University of Chicago

Chicago, Illinois, United States

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.