基于互联网提供的认知行为疗法的睡眠改善应用程序对睡眠障碍高风险的轮班工人的影响:单臂非随机试验
Asami Ito-Masui1, Ryota Sakamoto2, Eri Matsuo3
1Emergency and Critical Care Center, Mie University, Tsu, Japan.
Journal of medical Internet research
|August 22, 2023
概括
使用互联网提供的认知行为疗法 (CBT) 计划的轮班工人经历了睡眠时间的增加和睡眠质量的改善. 这项研究证明了基于应用程序的干预措施的可行性,以预防轮班工作睡眠障碍.
科学领域:
- 睡眠医学 睡眠医学
- 数字健康数字健康
- 职业健康 职业健康 职业健康
背景情况:
- 轮班工作者面临着睡眠障碍的高风险,例如失眠.
- 基于互联网的认知行为疗法 (CBT) 对失眠治疗具有前景,提供持续跟踪和个性化.
- 有限的研究存在于基于互联网的CBT,专门针对轮班工人睡眠障碍.
研究的目的:
- 评估一项为期4周的医生辅导,通过互联网提供的CBT计划对高风险轮班工人的睡眠时间的影响.
- 在重症监护室环境中,使用在互联网上提供的CBT应用程序和健身追踪器来评估结果.
- 将基于机器学习的幸福预测纳入干预.
主要方法:
- 61名轮班工人 (平均年龄32.9) 与匹兹堡睡眠质量指数≥5参与.
- 一周的基线之后,使用互联网提供的CBT应用程序和健身追踪器进行了为期4周的干预.
- 该计划包括健康预测,活动/睡眠图表,以及医生的个性化睡眠建议.
主要成果:
- 到第4周,平均每日睡眠时间从5.54小时显著增加到6.06小时 (P=.02).
- 主观睡眠质量显著改善 (匹兹堡睡眠质量指数:9.10至7.84;P=.001).
- 没有观察到主观幸福度的显著改善 (所有P>.05).
结论:
- 医生辅助的互联网交付CBT显著改善了轮班工人的睡眠时间和质量.
- 应用程序和可穿戴的基于传感器的睡眠改善计划是可行的,以预防轮班工作相关的睡眠障碍.
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