在重大抑郁症中,可穿戴式睡眠特征与复发之间的关系
1School of Psychology, University of Sussex, Falmer, UK; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Journal of affective disorders
|July 22, 2024
概括
像Fitbit这样的可穿戴设备可以跟踪睡眠模式,以预测严重抑郁症 (MDD) 复发. 睡眠不稳定性和持续时间的变化与抑郁症严重程度增加和复发风险增加有关.
科学领域:
- 数字健康数字健康
- 精神病学是一个精神病学.
- 睡眠医学 睡眠医学
背景情况:
- 睡眠障碍和昼夜节律变化是重度抑郁症复发的关键指标.
- 消费者可穿戴设备提供了远程,实时监控睡眠动态的潜力.
- 这项研究检查了使用Fitbit设备的MDD复发个体的纵向睡眠数据.
研究的目的:
- 研究睡眠时间,质量和规律对复发性MDD患者抑郁复发和严重性的纵向影响.
- 评估消费级可穿戴设备在监测心理健康方面的实用性.
- 为了确定与抑郁症结局相关的特定睡眠特征.
主要方法:
- 进行了一项纵向观察性移动健康 (mHealth) 队列研究.
- 患有复发性MDD的参与者佩戴Fitbit设备,并完成定期评估,平均时间为541天.
- 多变量回归模型分析了睡眠特征与抑郁症结果之间的关联.
主要成果:
- 总睡眠时间的变化增加,睡眠碎片化增加,睡眠效率降低,睡眠中点变化更大,与更糟糕的抑郁症结果有关.
- 人口归因分数表明,改善睡眠的一致性可能会在患有多重抑郁症的成年人中将抑郁复发风险降低高达22%.
- 消费级活动追踪器在估计复发风险和抑郁症严重程度方面发挥了作用.
结论:
- 消费者级活动追踪器是评估复发风险和重复性重大抑郁症抑郁症严重程度的有价值工具.
- 睡眠时间和中点的变化成为分层干预的潜在目标.
- 可能需要进一步的研究来解决局限性问题,例如由于复发比预期的少,可能导致潜在的弱势结果.
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