在失眠患者中预防疼痛干扰通过失眠的数字认知行为疗法
Matthew B Jennings1, David A Kalmbach1, Anthony N Reffi1
1Sleep Disorders and Research Center, Henry Ford Health, Detroit, MI, USA.
Behavioral sleep medicine
|May 5, 2025
概括
失眠的数字认知行为疗法 (dCBT-I) 通过改善失眠的严重程度,有效地减少和预防疼痛干扰 (PI). 这种数字干预表明,它有望恢复痛苦患者的日常功能和生活质量.
科学领域:
- 睡眠医学 睡眠医学
- 疼痛管理 疼痛管理
- 数字健康数字健康
背景情况:
- 失眠障碍经常伴随并预测疼痛状况.
- 疼痛干扰 (PI) 显著阻碍日常生活,并受到失眠的影响.
- 不眠症的认知行为疗法 (CBT-I) 显示出降低PI的潜力.
研究的目的:
- 与睡眠教育相比,评估数字CBT-I (dCBT-I) 在减少和预防疼痛干扰 (PI) 的有效性.
- 评估dCBT-I对失眠严重性的影响及其随后对PI的影响.
主要方法:
- 随机对照试验数据的二次数据分析.
- 患有失眠障碍的参与者被分配到dCBT-I (n=697) 或睡眠教育 (n=623).
- 逻辑回归分析了基于失眠严重程度的PI减少和预防的干预效应.
主要成果:
- dCBT-I显著增加了减少PI的几率,并减少了失眠严重程度 (OR=1.17).
- dCBT-I显示,治疗后进展到中度至重度PI的几率显著降低 (OR=0.68).
- 这些效应在具有不同基线PI水平的参与者中观察到.
结论:
- 数字CBT-I (dCBT-I) 在减少和预防疼痛干扰方面提供了显著和临床意义上的好处.
- 对于医疗保健提供者来说,dCBT-I可能是一个有价值的工具,可以解决睡眠问题并减轻与疼痛相关的功能障碍.
- 通过dCBT-I改善睡眠可以积极影响生活质量和整体日常功能.
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