试点可行性测试生物数学模型建议,以个性化轮班工人睡眠时间
Prerna Varma1, Svetlana Postnova2, Andrew J K Phillips1
1Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia.
Journal of sleep research
|August 26, 2023
概括
生物数学模型对轮班工人个性化睡眠建议有希望. 兴奋动态模型在护士中显示出更好的坚持和更好的睡眠结果.
科学领域:
- 职业健康 职业健康 职业健康
- 时间生物学 时间生物学
- 生物数学是生物数学.
背景情况:
- 轮班工作会扰乱睡眠和昼夜节律,对健康,安全和绩效产生负面影响.
- 生物数学模型为轮班工作者提供了个性化睡眠干预的潜力,但实际实施需要测试.
研究的目的:
- 测试实施两种生物数学模型 (菲利普斯 - 罗宾逊模型和唤醒动态模型) 对轮班护士的睡眠建议的可行性.
- 评估对模型建议的遵守以及干预后睡眠变化.
主要方法:
- 28名轮班护士被分为两组,每个组使用生物数学模型中的一个.
- 这项研究分析了模型推的睡眠时间和实际获得的睡眠之间的重叠.
- 测量了遵守睡眠开始/补偿建议以及睡眠障碍的变化,失眠严重程度和与睡眠有关的障碍.
主要成果:
- 建议和获得的睡眠之间的整体重叠是73.62%.
- 与菲利普斯-罗宾逊模型 (27%) 相比,唤醒动态模型显示睡眠开始时间的坚持明显更高 (49%在±30分钟内).
- 干预后观察到睡眠障碍,失眠严重程度和睡眠相关障碍的显著改善,具体取决于使用的模型.
结论:
- 生物数学模型提供了一个可行的概念验证,用于为轮班工人推在工作环境中睡眠.
- 唤醒动态模型展示了优越的坚持和对睡眠质量的积极影响.
- 建议数字化,自动化提供睡眠建议,以增加轮班工作者的采用率.
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