Tsai Zoe, Charlesworth Laurel, Cummings Beth-Ann M, Yeung Laiwah Jonathan, Bell Amanda, Devine Luke, J Daniels Vijay, J Wood Timothy, Humphrey-Murto Susan
University of Ottawa, Ottawa, Ontario, Canada.
Department of Medicine (Neurology & Sleep Disorder Medicine), University of Ottawa, Ottawa, Ontario, Canada.
BMJ Open. 2025 Aug 31;15(8):e096659. doi: 10.1136/bmjopen-2024-096659.
BACKGROUND/PURPOSE: Medical students face a rigorous academic environment that often leads to compromised sleep quality, which is essential for cognitive function, mental well-being and clinical performance. Despite the importance of sleep, a significant percentage of medical students report poor sleep quality, with detrimental effects on their academic performance and overall well-being. Previous research has primarily focused on international populations, leaving a gap in understanding the sleep habits and challenges faced by Canadian medical students.
This cross-sectional study aims to assess the sleep quality among medical students across six Canadian medical schools. The study will use validated instruments, including the Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale, to measure sleep quality and daytime sleepiness. Participants will be recruited via electronic surveys distributed through email and social media. The study will collect demographic data and explore factors impacting sleep quality, such as academic workload, electronic device usage before bedtime and stress levels. Data analysis will involve stepwise multiple regressions to identify predictors of poor sleep quality.
Approvals have been granted by the Research Ethics Boards at the University of Ottawa and at each participating site. Results will be reported in a peer-reviewed journal and submitted for presentation at national and international conferences.
背景/目的:医学生面临着严苛的学术环境,这常常导致睡眠质量受损,而睡眠对于认知功能、心理健康和临床能力至关重要。尽管睡眠很重要,但仍有相当比例的医学生报告睡眠质量不佳,这对他们的学业成绩和整体幸福感产生了不利影响。以往的研究主要集中在国际人群,在了解加拿大医学生的睡眠习惯和面临的挑战方面存在空白。
这项横断面研究旨在评估加拿大六所医学院校医学生的睡眠质量。该研究将使用经过验证的工具,包括匹兹堡睡眠质量指数和爱泼沃斯嗜睡量表,来测量睡眠质量和日间嗜睡情况。参与者将通过电子邮件和社交媒体分发的电子调查问卷进行招募。该研究将收集人口统计学数据,并探索影响睡眠质量的因素,如学业工作量、睡前电子设备使用情况和压力水平。数据分析将采用逐步多元回归来确定睡眠质量差的预测因素。
渥太华大学及每个参与研究地点的研究伦理委员会已批准该研究。研究结果将在同行评审期刊上发表,并提交在国内和国际会议上展示。