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临床试验/NCT05695235
NCT05695235招募中不适用

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

National University of Singapore1 个研究点 分布在 1 个国家目标入组 80 人开始时间: 2022年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
80
试验地点
1
主要终点
Wellbeing

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Prospective

入排标准

年龄范围
21 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

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

结局指标

主要结局

Wellbeing

时间窗: 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.

Alertness

时间窗: 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).

Sleep

时间窗: 8 weeks

Sleep duration and timing will be measured

Glucose monitoring

时间窗: 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.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Michael W.L. Chee

Professor

National University of Singapore

研究点 (1)

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