Shift Work and Risk of Cardio-vascular Disease
- Conditions
- Shift-Work Sleep Disorder
- Interventions
- Other: Sleep, Dietary and Cardio-metabolic Measurements
- Registration Number
- NCT02901860
- Lead Sponsor
- University of Chicago
- Brief Summary
The purpose of this research is to test the hypothesis that those with non-traditional work schedules (e.g. shift workers) have a higher cardio-metabolic risk than those with traditional work schedules (e.g. day workers), and that both accumulated sleep debt and the degree of circadian disruption predict the elevated cardio-metabolic risk. The findings of this research are expected to increase our understanding of physiologic tolerance to non-traditional work schedules and provide the basis for the development of methods for the early detection of adverse health effects and determine coping strategies for the millions of workers with non-traditional work schedules.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 86
Age 18 and older Full-time workers- working between 7:00 a.m. and 7:00 p.m. employed full time at a medical center.
Non-traditional full-time workers- working between 7:00 a.m. and 7:00 p.m and between 7:00 p.m. and 7:00 a.m., employed full time at a medical center.
Exclusion criteria include:
Acute illness or recent change in medication. Persons employed for less than 3 months at their current job
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Traditional workers Sleep, Dietary and Cardio-metabolic Measurements Individuals who work 'traditional" work hours, i.e., 9a-5p. Non-traditional workers Sleep, Dietary and Cardio-metabolic Measurements Individuals who have work hours outside the usual daytime period
- Primary Outcome Measures
Name Time Method cardio-metabolic risk Once 24-h ambulatory blood pressure monitoring and 3-h oral glucose tolerance test
- Secondary Outcome Measures
Name Time Method Obesity Once height, weight, BMI and waist/hip circumference and bioimpedance measurement of body fat