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Review
. 2025 Mar 8:2025:7106629.
doi: 10.1155/bn/7106629. eCollection 2025.

Insomnia Comorbid With Depression: A Bibliometric and Visualized Analysis of Research Trends and Hotspots From 2000 to 2024

Junting Chen  1 , Cai Li  1 , Ling Chen  1 , Ziyi Zhao  1 , Yongsu Zheng  1 , Xiaoyan Yang  1 , Hao Huang  1 , Renli Deng  2
Affiliations
Review

Insomnia Comorbid With Depression: A Bibliometric and Visualized Analysis of Research Trends and Hotspots From 2000 to 2024

Junting Chen et al. Behav Neurol. .

Abstract

Background: Sleep disorders, such as insomnia, are pervasive and frequently comorbid with depression, significantly affecting the quality of life of patients. Insomnia is characterized by difficulty initiating or maintaining sleep, which leads to impairment. Depression is characterized by persistent sadness and loss of interest, and it often features symptoms of insomnia. Understanding their interaction will be done for treatment strategies concerning both disorders. Despite the existence of extensive studies on insomnia and depression, there is a significant gap in bibliometric analysis specifically addressing the comorbidity of these two conditions. Objectives: This study is aimed at conducting a bibliometric analysis of research in insomnia comorbid with depression (ICD) to identify research trends, collaboration patterns, influential works, and hotspots. Methods: The study involved performance analysis to evaluate research productivity and trends, science mapping to visualize the intellectual structure and thematic evolution of the field, and network analysis to examine research collaboration and knowledge structure. Tools such as VOSviewer, CiteSpace, and GraphPad Prism were utilized for data analysis. Results: A total of 1624 publications on the comorbidity of insomnia and depression from 2000 to 2024 were included, encompassing both articles and reviews. Publication volume showed a steady growth from 2000 to 2008, followed by a significant increase from 2019 onward. The United States was the most productive country, followed by China. Key authors such as Allison G. Harvey, Charles M. Morin, and Daniel J. Buysse have made substantial contributions to the field. Major influential journals included Sleep Medicine, Journal of Affective Disorders, and Frontiers in Psychiatry. Research trends identified included the exploration of neurobiological mechanisms, cognitive behavioral therapy for insomnia (CBT-i), and personalized treatment approaches. Conclusion: This bibliometric analysis provides valuable insights into the evolving landscape of research on ICD. Future research should focus on personalized, multimodal interventions, expanding the application of CBT-i, exploring neurobiological mechanisms, and improving patients' quality of life through integrated treatment strategies.

Keywords: bibliometric analysis; comorbidity; depression; insomnia; visualization.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
The selection of publications flow chart.
Figure 2
Figure 2
Annual volume of publications.
Figure 3
Figure 3
Line graph of national publications.
Figure 4
Figure 4
Heat map of national publications.
Figure 5
Figure 5
Networks of country cooperation.
Figure 6
Figure 6
Networks of organizational cooperation.
Figure 7
Figure 7
Density map of journal publication.
Figure 8
Figure 8
Cocitation network map of journal.
Figure 9
Figure 9
Dual map of journal.
Figure 10
Figure 10
Cooperation network of author.
Figure 11
Figure 11
Cocitation network of author.
Figure 12
Figure 12
Cocited network of reference.
Figure 13
Figure 13
Clustering of cocited reference.
Figure 14
Figure 14
Peak map of cocited reference.
Figure 15
Figure 15
Burst analysis of cited literature.
Figure 16
Figure 16
Network map of high-frequency keyword.
Figure 17
Figure 17
Density map of keyword.
Figure 18
Figure 18
Peak map of keyword.
Figure 19
Figure 19
Clustering map of keyword.
Figure 20
Figure 20
Burst analysis of keywords.
See this image and copyright information in PMC

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