使用可穿戴设备的睡眠数据预测大学一年级学生的压力
Laura S P Bloomfield1,2,3, Mikaela I Fudolig2,3, Julia Kim3
1Gund Institute for Environment, University of Vermont, Burlington, Vermont, United States of America.
PLOS digital health
|April 11, 2024
概括
消费者可穿戴设备可以跟踪睡眠和生理压力指标. 更多的睡眠和更高的心率变化与大学生感知较低的压力有关.
科学领域:
- 数字健康数字健康
- 可穿戴技术可穿戴技术
- 心理健康监测 心理健康监测
背景情况:
- 消费者可穿戴设备有效地测量睡眠和生理数据.
- 量化睡眠,生理压力和感知压力之间的联系是具有挑战性的.
- 大学生面临严重的压力,影响心理健康.
研究的目的:
- 分析大学生睡眠指标和感知压力之间的关联.
- 为了确定可穿戴产品的生理数据是否可以预测压力水平.
- 了解睡眠在管理学生压力的作用.
主要方法:
- 从525名大学生收集的每周生物识别数据 (睡眠,心率,HRV,呼吸率) 和感知压力调查.
- 用于分析关联的混合效应回归模型.
- 对性别和学期周进行控制.
主要成果:
- 在感知压力和总睡眠时间 (TST),静止心率 (RHR),心率变化 (HRV) 和平均呼吸率 (ARR) 之间发现了显著的关联.
- 增加的TST和HRV与减少的压力几率相关.
- 增加的RHR和ARR与增加的压力几率相关.
- 性别和学期的一周是压力的重要预测因素.
结论:
- 穿戴式睡眠和生理数据显示,理解和预测学生的压力是有前途的.
- 研究结果支持使用可穿戴设备来监测学生的心理健康.
- 针对睡眠的干预措施可能有助于减轻这一群体的压力.
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