• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

改善抑郁青少年的睡眠和情绪:一项关于护士主导的失眠数字认知行为疗法的随机试验。

Enhancing sleep and mood in depressed adolescents: A randomized trial on nurse-led digital cognitive behavioral therapy for insomnia.

作者信息

Bai Nan, Yin Min

机构信息

School of Nursing, Lanzhou University, Lanzhou, China; Center for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China.

School of Nursing, Lanzhou University, Lanzhou, China.

出版信息

Sleep Med. 2024 Dec;124:627-636. doi: 10.1016/j.sleep.2024.10.030. Epub 2024 Oct 28.

DOI:10.1016/j.sleep.2024.10.030
PMID:39509914
Abstract

BACKGROUND

Despite the effectiveness of digital cognitive behavior therapy for insomnia (dCBT-I) in treating comorbid insomnia and depression, its accessibility and high dropout rates among adolescents and young adults remain significant limitations. A potential solution could be nurse-led dCBT-I. This study evaluates the feasibility and efficacy of nurse-led dCBT-I in reducing insomnia symptoms and improving mood in adolescents and young adults with depression.

AIMS

Our objective was to evaluate the feasibility and effectiveness of a nurse-led dCBT-I in reducing insomnia severity among adolescents and young adults with depression.

METHODS

A parallel-group randomized controlled trial involved 40 adolescents and young adults aged 14 to 24 with major depressive disorder and insomnia. They were assigned to receive either a nurse-led 6-week dCBT-I or usual care. The study evaluated outcomes such as insomnia severity, depression severity, and sleep parameters. Measurements were taken at baseline, immediately after the intervention (6 weeks), and during a follow-up at 18 weeks.

RESULTS

The intention-to-treat analysis was performed using a generalized linear mixed model (GLMM). Results indicated that, compared to the control group, participants in the intervention group exhibited a significant reduction in insomnia severity at the 18-week follow-up, with a large effect size (Cohen's d = -0.965, p < 0.001). Additionally, the intervention group demonstrated a significant decrease in depression severity both at the end of the intervention (Cohen's d = -0.686, p = 0.001) and at the 18-week follow-up (Cohen's d = -0.508, p = 0.011), indicating a medium effect size.

CONCLUSIONS

Nurse-led dCBT-I is an effective treatment for adolescents and young adults with depression and insomnia.

摘要

背景

尽管数字认知行为疗法治疗失眠(dCBT - I)在治疗共病性失眠和抑郁症方面有效,但其在青少年和青年中的可及性以及高辍学率仍是显著限制。一个潜在的解决方案可能是以护士为主导的dCBT - I。本研究评估以护士为主导的dCBT - I在减轻青少年和青年抑郁症患者的失眠症状及改善情绪方面的可行性和疗效。

目的

我们的目标是评估以护士为主导的dCBT - I在降低青少年和青年抑郁症患者失眠严重程度方面的可行性和有效性。

方法

一项平行组随机对照试验纳入了40名年龄在14至24岁之间、患有重度抑郁症和失眠的青少年和青年。他们被分配接受为期6周的以护士为主导的dCBT - I或常规护理。该研究评估了失眠严重程度、抑郁严重程度和睡眠参数等结果。在基线、干预结束后即刻(6周)以及18周的随访期间进行测量。

结果

使用广义线性混合模型(GLMM)进行意向性分析。结果表明,与对照组相比,干预组参与者在18周随访时失眠严重程度显著降低,效应量较大(科恩d值 = - 0.965,p < 0.001)。此外,干预组在干预结束时(科恩d值 = - 0.686,p = 0.001)和18周随访时(科恩d值 = - 0.508,p = 0.011)抑郁严重程度均显著降低,表明效应量中等。

结论

以护士为主导的dCBT - I是治疗青少年和青年抑郁症及失眠的有效疗法。

相似文献

1
Enhancing sleep and mood in depressed adolescents: A randomized trial on nurse-led digital cognitive behavioral therapy for insomnia.改善抑郁青少年的睡眠和情绪:一项关于护士主导的失眠数字认知行为疗法的随机试验。
Sleep Med. 2024 Dec;124:627-636. doi: 10.1016/j.sleep.2024.10.030. Epub 2024 Oct 28.
2
Effects of digital cognitive behavioural therapy for insomnia on insomnia severity: a large-scale randomised controlled trial.数字化认知行为疗法治疗失眠对失眠严重程度的影响:一项大规模随机对照试验。
Lancet Digit Health. 2020 Aug;2(8):e397-e406. doi: 10.1016/S2589-7500(20)30135-7.
3
Digital CBT-I in Comorbid Insomnia and Depression: Clinical Outcomes From a Pragmatic Randomized Controlled Trial.共病失眠与抑郁中的数字认知行为疗法失眠治疗:一项实用随机对照试验的临床结果
Depress Anxiety. 2025 May 26;2025:2171041. doi: 10.1155/da/2171041. eCollection 2025.
4
Depression prevention via digital cognitive behavioral therapy for insomnia: a randomized controlled trial.通过数字认知行为疗法预防失眠性抑郁:一项随机对照试验。
Sleep. 2019 Oct 9;42(10). doi: 10.1093/sleep/zsz150.
5
Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: a parallel-group randomized controlled trial.使用智能手机传递的自助认知行为疗法治疗失眠症相关的抑郁症:一项平行组随机对照试验。
Psychol Med. 2023 Apr;53(5):1799-1813. doi: 10.1017/S0033291721003421. Epub 2021 Aug 23.
6
Effect of Digital Cognitive Behavioral Therapy for Insomnia on Health, Psychological Well-being, and Sleep-Related Quality of Life: A Randomized Clinical Trial.数字认知行为疗法治疗失眠对健康、心理幸福感和睡眠相关生活质量的影响:一项随机临床试验。
JAMA Psychiatry. 2019 Jan 1;76(1):21-30. doi: 10.1001/jamapsychiatry.2018.2745.
7
Digital cognitive behavioural therapy for patients with insomnia and depression: A systematic review and meta-analysis.数字认知行为疗法治疗失眠伴抑郁患者的系统评价和荟萃分析。
J Psychiatr Ment Health Nurs. 2024 Aug;31(4):654-667. doi: 10.1111/jpm.13024. Epub 2024 Jan 16.
8
The clinical effects of digital cognitive behavioral therapy for insomnia in a heterogenous study sample: results from a randomized controlled trial.数字认知行为疗法治疗异质研究样本失眠的临床效果:一项随机对照试验的结果。
Sleep. 2023 Nov 8;46(11). doi: 10.1093/sleep/zsad184.
9
Nurse-delivered sleep restriction therapy to improve insomnia disorder in primary care: the HABIT RCT.护士主导的睡眠限制疗法改善初级保健中的失眠障碍:HABIT RCT。
Health Technol Assess. 2024 Aug;28(36):1-107. doi: 10.3310/RJYT4275.
10
Mode of delivery of Cognitive Behavioral Therapy for Insomnia: a randomized controlled non-inferiority trial of digital and face-to-face therapy.失眠症认知行为疗法的实施方式:数字治疗与面对面治疗的随机对照非劣效性试验。
Sleep. 2021 Dec 10;44(12). doi: 10.1093/sleep/zsab185.

引用本文的文献

1
Unilateral prosopometamorphopsia caused by infarction of the splenium of the corpus callosum: 4 case report and review of the literature.胼胝体压部梗死所致单侧人面变形症:4例报告并文献复习
Neurol Sci. 2025 Apr 14. doi: 10.1007/s10072-025-08132-8.