Monitoring Sleep, Wellbeing, and Glucose Metabolism in PGY1s

January 22, 2023 updated by: Michael W.L. Chee, National University, Singapore

Monitoring Sleep, Wellbeing, and Glucose Metabolism in Postgraduate Year 1 Doctors on Traditional and Float Call Shifts

Overnight on-call schedules can impact sleep, wellbeing, and alertness, which can be detrimental on the performance, physical and mental health of residents. Moreover, rotating shift work may have a long-term negative health impact (e.g. increased risk of diabetes). Within the National University Hospital (NUH), two different systems of rotating on-call schedules are implemented. In the night float system, residents work from 8 pm to 8 am for 5 - 7 consecutive nights once every month, compared to the traditional overnight on-call system, where each resident is on call for 4-6 nights per month (7 am - 5 pm, followed by overnight call until 8 am the next morning). The aim of the current study is to track sleep, wellbeing, and glucose metabolism during the different phases of the night float and traditional on-call schedules.

Study Overview

Detailed Description

Overnight on-call schedules can impact sleep, wellbeing, and alertness, which can be detrimental on the performance, physical and mental health of residents. Moreover, rotating shift work may have a long-term negative health impact (e.g. increased risk of diabetes). Within the National University Hospital (NUH), two different systems of rotating on-call schedules are implemented. In the night float system, residents work from 8 pm to 8 am for 5 - 7 consecutive nights once every month, compared to the traditional overnight on-call system, where each resident is on call for 4-6 nights per month (7 am - 5 pm, followed by overnight call until 8 am the next morning). The aim of the current study is to track sleep, wellbeing, and glucose metabolism during the different phases of the night float and traditional on-call schedules.

The availability of accurate mobile methodologies to monitor sleep and metabolic health provide new avenues for the improvement of sleep health and well-being. Wearable sleep tracking devices and smartphone apps provide remarkable opportunities for non-invasive, longitudinal sleep detection. Measurement of sleep during different stages of the shift schedule (baseline, on-call, recovery) can provide detailed insights into the temporal impact of the different schedules. Moreover, self-reported ratings of sleep quality, wellbeing, and time-use (delivered through phone-based e-diary methods) can further detail the mental health impact associated with these schedules.

Wearable continuous glucose monitoring systems (CGMS) provide a minimally invasive means of passively tracking ambulant interstitial fluid glucose levels in real time.

Study Type

Observational

Enrollment (Anticipated)

80

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Stijn Agus Adrianus Massar, PhD
  • Phone Number: +65 66015238
  • Email: [email protected]

Study Locations

  • Singapore
    • (No States Listed)
      • Singapore, (No States Listed), Singapore, 117597
        • Recruiting
        • National University of Singapore
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

21 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

NUHS Postgraduate year 1 doctors

Description

Inclusion Criteria:

  • NUHS Postgraduate year 1 doctors
  • Above 21 years of age
  • Completing their year 1 rotations in 2021 or 2022

Exclusion Criteria:

  • As this is an observational study with minimal risk, in an restricted pool of participants, no further exclusion criteria will be applied for participation.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Traditional call
In the traditional overnight on-call system, each resident is on call for 4-6 nights per month (7 am - 5 pm, followed by overnight call until 8 am the next morning)
Wearable continuous glucose monitoring systems (CGMS) provide a minimally invasive means of passively tracking ambulant interstitial fluid glucose levels in real time.
Wearable sleep tracking device
Participants will be prompted daily to fill out a short set of wellbeing questions and perform a short alertness test on their mobile phones and laptop.
Float call
In the night float system, residents work from 8 pm to 8 am for 5 - 7 consecutive nights once every month
Wearable continuous glucose monitoring systems (CGMS) provide a minimally invasive means of passively tracking ambulant interstitial fluid glucose levels in real time.
Wearable sleep tracking device
Participants will be prompted daily to fill out a short set of wellbeing questions and perform a short alertness test on their mobile phones and laptop.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sleep
Time Frame: 8 weeks
Sleep duration and timing will be measured
8 weeks
Glucose monitoring
Time Frame: 2 weeks
Blood glucose will be recorded using a wearable continuous glucose monitoring sensor (CGM: FreeStyle Libre Pro iQ by Abbott). CGM period will be individually scheduled to coincide with at least one cycle of day shift-night shift- recovery for each participant.
2 weeks
Wellbeing
Time Frame: 8 weeks
Participants will complete a daily micro questionnaire delivered through a mobile phone-based application. The investigators will examine mood ratings and stress ratings. Participants will be asked to respond to questions such as "How are you feeling right now?", rating their response from 'Negative' to 'Positive' on a 100-points sliding bar, "How stressed are you feeling right now?", rating their response from 'Not at all stressed' to 'Very stressed' on a 100-points sliding bar.
8 weeks
Alertness
Time Frame: 8 weeks
Participants will complete a daily set of cognitive games, delivered through a mobile phone-based application. The outcome measure from the games is a 3-min psychomotor vigilance task measuring sustained attention. Specifically, the investigators examine median reaction time and lapses (reaction time > 500ms).
8 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2022

Primary Completion (Anticipated)

June 1, 2023

Study Completion (Anticipated)

June 1, 2023

Study Registration Dates

First Submitted

December 27, 2022

First Submitted That Met QC Criteria

January 13, 2023

First Posted (Actual)

January 23, 2023

Study Record Updates

Last Update Posted (Actual)

January 25, 2023

Last Update Submitted That Met QC Criteria

January 22, 2023

Last Verified

January 1, 2023

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • NUHSsleepstudy

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact [email protected]. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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