Amsterdam UMC, Vrije Universiteit, Department of Psychiatry, Amsterdam Public Health Research Institute, The Netherlands.
Amsterdam UMC, Vrije Universiteit, Department of Psychiatry, Amsterdam Public Health Research Institute, The Netherlands.
J Affect Disord. 2021 Mar 15;283:165-171. doi: 10.1016/j.jad.2021.01.052. Epub 2021 Jan 27.
Ambulatory assessments offer opportunities to evaluate daily dynamics of sleep and momentary affect using mobile technologies. This study examines day-to-day bidirectional associations between sleep and affect using mobile monitoring, and evaluates whether these associations differ between people without and with current or remitted depression/anxiety.
Two-week ecological momentary assessment (EMA) and actigraphy data of 359 participants with current (n = 93), remitted (n = 176) or no (n = 90) CIDI depression/anxiety diagnoses were obtained from the Netherlands Study of Depression and Anxiety. Objective sleep duration (SD) and efficiency were obtained from actigraphy data. Self-reported SD, sleep quality (SQ), positive affect (PA) and negative affect (NA) were assessed by electronic diaries through EMA.
A bidirectional longitudinal association was found between self-reported SQ and affect, while no association was found for self-reported SD and objective SD and efficiency. Better SQ predicted affect the same day (higher PA: b = 0.035, p < 0.001; lower NA: b = -0.022, p < 0.001), while lower NA on the preceding day predicted better SQ (b = -0.102, p = 0.001). The presence of current depression/anxiety disorders moderated the association between better SQ and subsequent lower NA; it was stronger for patients compared to controls (p = 0.003).
Observational study design can only point to areas of interest for interventions.
This 2-week ambulatory monitoring study shows that, especially among depression/anxiety patients, better self-reported SQ predicts higher PA and lower NA the same day, while lower NA predicts better self-reported SQ. The value of mobile technologies to monitor and potentially intervene in patients to improve their affect should be explored.
使用移动技术进行门诊评估为评估睡眠和即时情绪的日常动态提供了机会。本研究使用移动监测检查了睡眠和情绪之间的日常双向关联，并评估了这些关联在没有当前或缓解的抑郁/焦虑症的人群与有当前或缓解的抑郁/焦虑症的人群之间是否有所不同。
从荷兰抑郁和焦虑研究中获得了 359 名有当前（n=93）、缓解（n=176）或无（n=90）CIDI 抑郁/焦虑症诊断的参与者的两周生态瞬时评估（EMA）和活动记录仪数据。客观的睡眠时间（SD）和效率是从活动记录仪数据中获得的。通过 EMA 通过电子日记评估自我报告的 SD、睡眠质量（SQ）、积极情绪（PA）和消极情绪（NA）。
发现自我报告的 SQ 和情绪之间存在双向纵向关联，而自我报告的 SD 与客观 SD 和效率之间没有关联。更好的 SQ 预测了当天的情绪（更高的 PA：b=0.035，p<0.001；更低的 NA：b=-0.022，p<0.001），而前一天的 NA 降低预测了更好的 SQ（b=-0.102，p=0.001）。当前抑郁/焦虑症的存在调节了更好的 SQ 与随后更低的 NA 之间的关联；与对照组相比，患者的关联更强（p=0.003）。
观察性研究设计只能指出干预的兴趣领域。
这项为期两周的门诊监测研究表明，尤其是在抑郁/焦虑症患者中，更好的自我报告 SQ 预测当天更高的 PA 和更低的 NA，而较低的 NA 预测更好的自我报告 SQ。应该探索移动技术监测和潜在干预患者以改善其情绪的价值。
