在大量学生样本中,生态瞬间评估和被动传感器数据之间的关联
Björn S Siepe1, Rayyan Tutunji2, Carlotta L Rieble2
1Psychological Methods Laboratory, Department of Psychology, University of Marburg.
Journal of psychopathology and clinical science
|July 31, 2025
概括
可穿戴设备和自我报告调查显示了强大的睡眠关联,但疲劳和压力的联系较弱. 这突出了心理健康研究中被动感知和生态瞬间评估 (EMA) 测量的构造中的潜在差异.
科学领域:
- 数字心理健康数字心理健康
- 可穿戴技术是可穿戴的技术.
- 心理评估 心理评估
背景情况:
- 生态瞬间评估 (EMA) 提高了生态有效性,但可能会造成负担.
- 可穿戴设备的被动传感提供了一个潜在的解决方案,以减少EMA负担.
- 调查可穿戴设备数据的质量和与自我报告措施的重叠对心理健康研究至关重要.
研究的目的:
- 将可穿戴设备的被动传感数据与EMA自我报告数据进行比较.
- 评估可穿戴指标和压力,疲劳和睡眠的自我报告指标之间的并发关联.
- 评估可穿戴数据对学生心理健康监测的有用性.
主要方法:
- 一项为期3个月的研究,涉及781名学生使用Garmin VivoSmart 4手表和EMA调查.
- 使用纵向混合效应模型来分析瞬间关联.
- 专注于被动传感器指标与压力,疲劳和睡眠的自我报告措施的同时有效性.
主要成果:
- 对于睡眠相关变量,可穿戴设备和自我报告措施之间发现了强有力的关联.
- 对于疲劳,观察到较弱的关联.
- 对大多数人来说,压力测量显示可穿戴设备和自我报告数据之间的重叠很小.
结论:
- 可穿戴数据和自我报告措施可能并不总是捕捉到相同的心理构造.
- 差异可能来自语义差异和测量问题.
- 在未来的心理健康研究中,为整合可穿戴设备和自我报告数据提供了洞察力.
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