Evidence map›Paper›PMID 40248362›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Exploring the associations between data-driven insomnia disorder combined with mild anxiety or/and depressive symptoms and the efficacy of Cognitive-Behavioral Therapy for insomnia.

Dongbin Lyu, Ruiyi Qian, Fangmei Ge, Yang Wang, Hongyan Wang, Yating Zhao, Hui Han, Ruyun Liu, Yutong Liu, Yiling Chen and 7 more

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In one paragraph

Article in International journal of clinical and health psychology : IJCHP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Dongbin LyuShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ruiyi QianShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Fangmei GeShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yang WangShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Hongyan WangShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yating ZhaoShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Hui HanShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ruyun LiuShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yutong LiuShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yiling ChenShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Caojun JiShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xin LuoShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Tianhong ZhangShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yue LengDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA.
Jie ZhangShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Chengmei YuanShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zeping XiaoShanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

Objectives: The endophenotype of insomnia disorder is complex and the treatment is not targeted. The data-driven typing method might provide some bases for precise treatment. The present study was based on a post hoc analysis, aiming to explore the association between subtypes of insomnia disorder and the efficacy of cognitive-behavioral therapy for insomnia (CBT-I). Methods: The present study was conducted on data of 118 patients with chronic insomnia disorder combined mild anxiety or/and depressive symptoms, who had completed an 8-week randomized controlled trial of CBT-I vs CBT-I plus (CBT-I combined with modules targeting anxiety and depressive symptoms). The silhouette coefficient determined the optimal number of clusters, and a K-means clustering analysis was performed. T-tests were conducted to assess baseline differences at eight weeks, and the changes in self-reported total sleep time (sTST), Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Rating Scale (HRSD-17), and Hamilton Anxiety Rating Scale (HAMA) scores in order to explore the impact of subtypes and treatment approaches (CBT-I and CBT-I plus) on insomnia and emotional symptoms. Results: The analysis revealed no significant demographic differences between the two clusters. Subtype 2 was characterized by significantly poorer baseline sleep quality (PSQI: 16.59 vs 12.74, Conclusions: The study underscores the heterogeneity within ID subtypes and the differential response of sleep quality and depressive symptoms to CBT-I and CBT-I plus, highlighting the importance of personalized treatment strategies based on insomnia subtypes.

Indexed as

Cluster analysisCognitive-behavioral therapyEfficacyInsomnia disorderSubtypes

Identifiers

PMID40248362
PMCPMC12005858

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.