在并发性失眠和抑郁症中的数字CBT-I:实用随机对照试验的临床结果
Jennifer Schuffelen1, Leonie F Maurer2, Annika Gieselmann1
1Department of Clinical Psychology, Institute of Experimental Psychology, Heinrich Heine University, Universitätsstraße 1, Düsseldorf 40225, Germany.
Depression and anxiety
|June 3, 2025
概括
增加失眠的数字认知行为疗法 (dCBT-I) 显著减少了伴随性抑郁症和失眠患者的抑郁症状和失眠严重程度. 这种数字睡眠干预显示出作为抑郁症管理的有效辅助治疗的希望.
科学领域:
- 临床心理学 临床心理学
- 数字健康数字健康
- 睡眠医学 睡眠医学
背景情况:
- 抑郁症每年影响8.1%的德国人口,许多患者表现出对传统治疗的抵抗力.
- 慢性失眠影响85%的抑郁症患者,这表明睡眠障碍是关键因素.
- 睡眠可能是管理抑郁症的可修改因素,需要探索有针对性的干预措施.
研究的目的:
- 为了研究为改善抑郁症状,将完全自动化的失眠数字认知行为疗法 (dCBT-I) 添加到常规护理 (CAU) 的疗效.
- 评估dCBT-I对伴随性抑郁症和失眠患者失眠严重程度和其他次要结局的影响.
- 评估dCBT-I效应在异质患者样本中的强度和稳定性.
主要方法:
- 这是一项随机对照试验,涉及140名患有伴随性抑郁症和失眠的参与者.
- 参与者被随机分配,接受dCBT-I (通过应用程序/网络提供) 或等待列表 (WLC) 控制.
- 对抑郁症状 (PHQ-9),失眠严重程度和其他结果的评估在基线,12周和24周使用线性混合模型进行.
主要成果:
- 在dCBT-I组显示,抑郁症状在12周和24周显著减少 (效果大小d=0.66-0.78).
- 在dCBT-I组中,在失眠严重程度 (d=1.46-1.94) 和大多数次要结局 (d=0.33-1.14) 中观察到实质性的改善.
- 在不同患者队列中,治疗效果强大,并在24周的研究期间保持稳定.
结论:
- 数字dCBT-I是一种有效的辅助治疗,用于患有并发性抑郁症和失眠的人.
- 这些发现强调了解决睡眠障碍在抑郁症管理中的关键作用.
- 建议将dCBT-I等以睡眠为重点的干预措施纳入标准抑郁症治疗中.
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