使用数字技术和可穿戴设备监测日常睡眠、情绪和情感:系统评价。
Monitoring Daily Sleep, Mood, and Affect Using Digital Technologies and Wearables: A Systematic Review.
机构信息
Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, UK.
National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service Foundation Trust, London SE5 8AF, UK.
出版信息
Sensors (Basel). 2024 Jul 19;24(14):4701. doi: 10.3390/s24144701.
Sleep and affective states are closely intertwined. Nevertheless, previous methods to evaluate sleep-affect associations have been limited by poor ecological validity, with a few studies examining temporal or dynamic interactions in naturalistic settings. First, to update and integrate evidence from studies investigating the reciprocal relationship between daily sleep and affective phenomena (mood, affect, and emotions) through ambulatory and prospective monitoring. Second, to evaluate differential patterns based on age, affective disorder diagnosis (bipolar, depression, and anxiety), and shift work patterns on day-to-day sleep-emotion dyads. Third, to summarise the use of wearables, actigraphy, and digital tools in assessing longitudinal sleep-affect associations. A comprehensive PRISMA-compliant systematic review was conducted through the EMBASE, Ovid MEDLINE(R), PsycINFO, and Scopus databases. Of the 3024 records screened, 121 studies were included. Bidirectionality of sleep-affect associations was found (in general) across affective disorders (bipolar, depression, and anxiety), shift workers, and healthy participants representing a range of age groups. However, findings were influenced by the sleep indices and affective dimensions operationalised, sampling resolution, time of day effects, and diagnostic status. Sleep disturbances, especially poorer sleep quality and truncated sleep duration, were consistently found to influence positive and negative affective experiences. Sleep was more often a stronger predictor of subsequent daytime affect than vice versa. The strength and magnitude of sleep-affect associations were more robust for subjective (self-reported) sleep parameters compared to objective (actigraphic) sleep parameters.
睡眠与情感状态密切相关。然而,之前评估睡眠与情感关联的方法受到生态效度较差的限制,只有少数研究在自然环境中考察了时间或动态的相互作用。第一,通过动态监测和前瞻性监测,更新并整合研究中关于日常睡眠与情感现象(情绪、情感和情绪)之间的相互关系的证据。第二,评估基于年龄、情感障碍诊断(双相情感障碍、抑郁症和焦虑症)和轮班工作模式的日常睡眠-情绪对之间的差异模式。第三,总结可穿戴设备、活动记录仪和数字工具在评估纵向睡眠-情感关联中的应用。通过 EMBASE、Ovid MEDLINE(R)、PsycINFO 和 Scopus 数据库进行了全面的符合 PRISMA 标准的系统评价。在筛选的 3024 条记录中,有 121 项研究被纳入。在情感障碍(双相情感障碍、抑郁症和焦虑症)、轮班工作者和健康参与者中,普遍发现了睡眠与情感关联的双向性,他们代表了一系列年龄组。然而,研究结果受到睡眠指数和情感维度的操作性、采样分辨率、一天中的时间效应以及诊断状态的影响。睡眠障碍,尤其是睡眠质量较差和睡眠时间缩短,一直被发现会影响积极和消极的情感体验。睡眠对随后的日间情绪的预测作用通常强于反之。与客观(活动记录仪)睡眠参数相比,主观(自我报告)睡眠参数的睡眠与情感关联的强度和幅度更大。