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Mayo Clinic Family Medicine Resident Wellness Study: Feasibility of a Tailored Virtual Exercise Program and Its Impacts on Sleep Patterns and Subjective Mental Fatigue Among Family Medicine Residents: A Step Towards Prevention of Burnout in Early Career Physicians
The objectives of this study are to better understand the association between sleep characteristics (sleep disruptions and deprivations) during overnight shifts and mental fatigue among medical residents, and to explore the feasibility of a virtual, tailored exercise program on sleep characteristics, subjective mental fatigue, and burnout level among residents in family medicine.
The purpose of the proposed study is two-fold: 1) to better understand the association between sleep characteristics (sleep disruptions and deprivations) during overnight shifts and mental fatigue among medical residents; and 2) to explore the feasibility of a three-week tailored, virtual exercise program on sleep characteristics, subjective mental fatigue, and burnout level among residents in family medicine. It is hypothesized that: 1) the greater the number of average sleep disruptions, and the greater the sleep deprivation, the greater the acute mental fatigue during overnight shifts reported by the family medicine residents; 2) the number of average sleep disruptions and the magnitude of sleep deprivation are greater during overnight shifts than non-overnight shifts among family medicine residents; and 3) a three-week tailored virtual exercise program will significantly increase the amount of physical activity throughout the day and reduce the levels of mental fatigue and perceived burnout during overnight shifts.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
Yes
Mayo Clinic Health System-Eau Claire
Eau Claire, Wisconsin, United States
Start Date
November 1, 2021
Primary Completion Date
July 15, 2022
Completion Date
July 15, 2022
Last Updated
November 10, 2022
13
ACTUAL participants
Questionnaires
OTHER
Actigraph and activPAL devices
OTHER
Lead Sponsor
Mayo Clinic
Data Source & Attribution
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