评估睡眠追踪器应用程序在检测焦虑和抑郁相关睡眠障碍方面的有效性
Doaa Alamoudi1, Ian Nabney1, Esther Crawley2
1Department of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
这项研究强调了睡眠质量不佳如何影响心理健康,特别是在年轻人中. 一个新的应用程序显示在检测与焦虑和抑郁相关的睡眠问题,使用手机数据的承诺.
科学领域:
- 心理健康 心理健康
- 睡眠科学 睡眠科学
- 数字健康数字健康
背景情况:
- 良好的睡眠对身体和精神健康至关重要,影响恢复和认知.
- 大约40%的个人经历失眠症状,突出显著的公共卫生问题.
- 了解睡眠模式对于心理健康干预至关重要,特别是在年轻人群中.
研究的目的:
- 调查睡眠质量差与抑郁和焦虑的诊断相关性.
- 通过手机使用和移动数据,探索移动应用程序 (SleepTracker) 在识别心理健康指标方面的潜力.
- 分析睡眠指标,手机使用,运动数据和心理健康状况之间的关系.
主要方法:
- 利用电话使用情况和移动传感器数据来开发SleepTracker应用程序.
- 收集了参与者数据,包括手机使用,运动,睡眠状况指标 (SCI),患者健康问卷-9 (PHQ-9) 和通用焦虑障碍-7 (GAD-7) 评分.
- 采用混矩阵来分析睡眠指标,手机使用,运动数据和调查结果之间的相关性.
主要成果:
- 开发的分类器准确地检测到负面睡眠障碍的情况.
- 该模型在识别积极实例时获得了F1分数0.5和0.33的精度,这表明有改进的余地.
- 在睡眠障碍,手机使用,运动模式和心理健康指标之间观察到显著的相关性.
结论:
- 睡眠追踪器应用程序通过监测睡眠和手机使用来证明心理健康早期干预的潜力.
- 为了提高模型的预测性能,需要与更大的参与者池进行进一步的研究.
- 睡眠质量是整体健康的关键因素,数字工具可以帮助评估和管理.
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