Department of Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.
Center for Translational Behavioral Science, Florida State University College of Medicine, Tallahassee, FL, USA.
Med Educ Online. 2024 Dec 31;29(1):2412400. doi: 10.1080/10872981.2024.2412400. Epub 2024 Oct 9.
Student wellness is of increasing concern in medical education. Increased rates of burnout, sleep disturbances, and psychological concerns in medical students are well documented. These concerns lead to impacts on current educational goals and may set students on a path for long-term health consequences.
Undergraduate medical students were recruited to participate in a novel longitudinal wellness tracking project. This project utilized validated wellness surveys to assess emotional health, sleep health, and burnout at multiple timepoints. Biometric information was collected from participant Fitbit devices that tracked longitudinal sleep patterns.
Eighty-one students from three cohorts were assessed during the first semester of their M1 preclinical curriculum. Biometric data showed that nearly 30% of the students had frequent short sleep episodes (<6 hours of sleep for at least 30% of recorded days), and nearly 68% of students had at least one episode of three or more consecutive days of short sleep. Students that had consecutive short sleep episodes had higher rates of stress (8.3%) and depression (5.4%) symptoms and decreased academic efficiency (1.72%).
Biometric data were shown to significantly predict psychological health and academic experiences in medical students. Biometrically assessed sleep is poor in medical students, and consecutive days of short sleep duration are particularly impactful as it relates to other measures of wellness. Longitudinal, biometric data tracking is feasible and can provide students the ability to self-monitor health behaviors and allow for low-intensity health interventions.
学生的健康状况越来越受到医学教育的关注。医学生中 burnout、睡眠障碍和心理问题的发生率不断上升,这一现象已经得到充分证实。这些问题不仅影响了学生当前的教育目标,而且可能使他们面临长期健康问题的风险。
我们招募了本科生医学参与一项新的纵向健康追踪项目。该项目使用经过验证的健康调查评估了学生在多个时间点的情绪健康、睡眠健康和 burnout 情况。参与者的 Fitbit 设备会收集生物识别信息,以跟踪他们的长期睡眠模式。
在 M1 临床前课程的第一个学期,我们评估了三个批次的 81 名学生。生物识别数据显示,近 30%的学生经常出现短暂的睡眠(至少 30%的记录天数中,睡眠时间<6 小时),近 68%的学生至少有一次连续三天或更长时间的短暂睡眠。有连续短暂睡眠的学生更容易出现压力(8.3%)和抑郁(5.4%)症状,学业效率也会降低(1.72%)。
生物识别数据表明,它们可以显著预测医学生的心理健康和学业体验。生物识别评估的睡眠质量较差,连续多天的短暂睡眠时间对健康的影响尤其大,因为它与其他健康指标相关。纵向的、生物识别数据追踪是可行的,它可以让学生有能力自我监测健康行为,并进行低强度的健康干预。