Department of Psychiatry, University of Helsinki, P.O. Box 22, Välskärinkatu 12 A, FI-00014, Helsinki, Finland.
Department of Computer Science, Aalto University, Espoo, Finland.
Curr Psychiatry Rep. 2019 Jun 4;21(7):49. doi: 10.1007/s11920-019-1043-y.
Sleep is an important feature in mental illness. Smartphones can be used to assess and monitor sleep, yet there is little prior application of this approach in depressive, anxiety, or psychotic disorders. We review uses of smartphones and wearable devices for sleep research in patients with these conditions.
To date, most studies consist of pilot evaluations demonstrating feasibility and acceptability of monitoring sleep using smartphones and wearable devices among individuals with psychiatric disorders. Promising findings show early associations between behaviors and sleep parameters and agreement between clinic-based assessments, active smartphone data capture, and passively collected data. Few studies report improvement in sleep or mental health outcomes. Success of smartphone-based sleep assessments and interventions requires emphasis on promoting long-term adherence, exploring possibilities of adaptive and personalized systems to predict risk/relapse, and determining impact of sleep monitoring on improving patients' quality of life and clinically meaningful outcomes.
睡眠是精神疾病的一个重要特征。智能手机可用于评估和监测睡眠,但在抑郁、焦虑或精神病性障碍中,这种方法的应用很少。我们综述了智能手机和可穿戴设备在这些疾病患者睡眠研究中的应用。
迄今为止,大多数研究都是初步评估,旨在证明在精神障碍患者中使用智能手机和可穿戴设备监测睡眠的可行性和可接受性。有希望的研究结果表明,行为与睡眠参数之间存在早期关联,以及基于诊所的评估、主动智能手机数据采集和被动收集数据之间的一致性。很少有研究报告睡眠或心理健康结果的改善。基于智能手机的睡眠评估和干预的成功需要强调促进长期依从性,探索预测风险/复发的自适应和个性化系统的可能性,并确定睡眠监测对改善患者生活质量和具有临床意义的结果的影响。