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临床实践中影响数字认知行为疗法治疗慢性失眠疗效的因素。

Factors influencing the effectiveness of digital cognitive behavioural therapy for chronic insomnia in clinical practice.

作者信息

Shi Yuan, Ren Rong, Zhang Ye, Vitiello Michael V, Tang Xiangdong

机构信息

Sleep Medicine Center, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.

Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA.

出版信息

J Sleep Res. 2024 Aug;33(4):e14077. doi: 10.1111/jsr.14077. Epub 2023 Oct 28.

DOI:10.1111/jsr.14077
PMID:37897204
Abstract

Digital cognitive behavioural therapy for chronic insomnia (D-CBT-I) has been shown to be as efficacious as traditional CBT-I. However, not all patients achieve insomnia remission after treatment. We explored the factors influencing the effectiveness of D-CBT-I in a clinical practice. A total of 414 Asian chronic insomniacs were studied during a 6 week D-CBT-I intervention. All patients were assessed at baseline and posttreatment and were determined to be remitters or non-remitters, responders or non-responders by posttreatment criteria; Insomnia Severity Index (ISI <8) or ISI reduction ≥8, to examine whether remission and response status were associated with patient baseline characteristics. The average baseline ISI score in all subjects was 16.29 points. At posttreatment, 192 (46.4%) patients achieved ISI remission and 218 (52.7%) patients demonstrated an ISI response. An increased baseline early morning awakening time and ISI score were independently associated with a lower odds for remission (OR, 0.995 and 0.991, respectively). Increased baseline Patients Health Questionnaire-9 score was independently associated with higher odds for response (OR, 1.114). Our results suggest that D-CBT-I can be recommended as the first-line treatment for chronic insomnia, particularly in insomniacs with milder insomnia symptoms and more severe depressive symptoms. Meanwhile, the effectiveness of D-CBT-I was adversely affected by longer early morning awakening time and higher insomnia severity at pretreatment, which may be improved by more intense intervention and greater therapeutic support or by traditional CBT-I.

摘要

数字认知行为疗法治疗慢性失眠(D-CBT-I)已被证明与传统的认知行为疗法治疗失眠(CBT-I)一样有效。然而,并非所有患者在治疗后都能实现失眠缓解。我们在临床实践中探讨了影响D-CBT-I疗效的因素。在为期6周的D-CBT-I干预期间,共研究了414名亚洲慢性失眠患者。所有患者在基线和治疗后均接受评估,并根据治疗后标准确定为缓解者或未缓解者、反应者或无反应者;失眠严重程度指数(ISI<8)或ISI降低≥8,以检查缓解和反应状态是否与患者基线特征相关。所有受试者的平均基线ISI评分为16.29分。治疗后,192名(46.4%)患者实现了ISI缓解,218名(52.7%)患者表现出ISI反应。基线时清晨觉醒时间增加和ISI评分升高与缓解几率降低独立相关(OR分别为0.995和0.991)。基线时患者健康问卷-9评分升高与反应几率升高独立相关(OR为1.114)。我们的结果表明,D-CBT-I可被推荐为慢性失眠的一线治疗方法,特别是对于失眠症状较轻和抑郁症状较严重的失眠患者。同时,D-CBT-I的疗效受到治疗前清晨觉醒时间较长和失眠严重程度较高的不利影响,这可能通过更强化的干预和更大的治疗支持或传统的CBT-I来改善。

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