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哮喘与抑郁症的研究趋势与热点:文献计量学分析
Authors Peng G , Cheng B, Ding R, Dai A
Received 14 October 2024
Accepted for publication 7 December 2024
Published 12 December 2024 Volume 2024:17 Pages 1271—1285
DOI https://doi.org/10.2147/JAA.S495814
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Amrita Dosanjh
Guoran Peng,1 Beibei Cheng,2 Rongzhen Ding,3 Aiguo Dai2– 4
1College of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China; 2Department of Respiratory Diseases, Medical School, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China; 3Hunan Provincial Key Laboratory of Vascular Biology and Translational Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China; 4Department of Respiratory Medicine, First Affiliated Hospital, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
Correspondence: Aiguo Dai, Department of Respiratory Diseases, Medical School, Hunan University of Chinese Medicine, 300 Xueshi Road, Hanpu Science & Education Park, Yuelu District, Changsha, Hunan, 410208, People’s Republic of China, Email daiaiguo@hnucm.edu.cn
Purpose: Asthma and depression are prevalent conditions with significant comorbidity, impacting patients’ quality of life. This bibliometric study aims to analyze research trends and hotspots in the field from 2000 to 2023, identifying key contributions and predicting future directions.
Methods: We conducted a systematic search in the Web of Science Core Collection (WoSCC) for articles on asthma and depression, published between 2000 and 2023. Bibliometrics, which involves the application of mathematical and statistical methods to analyze scholarly literature, was employed in this study to systematically assess the research trends and hotspots in the field of asthma and depression. VOSviewer and CiteSpace software were utilized for visual analysis and data visualization, enabling us to map collaboration networks and identify research hotspots and trends within the asthma and depression literature.
Results: Our analysis retrieved 3067 papers from 937 journals, involving 14,631 authors and 4006 institutions across 106 countries. The United States, Columbia University, the Journal of Asthma, and Christer Janson were the most prolific contributors. Six primary research themes emerged: quality of life, childhood asthma, primary care, substance P, intervention, and emotion. Additionally, Burst detection analysis identified emerging topics, including severe asthma, other respiratory diseases, and oxidative stress.
Conclusion: This bibliometric analysis has revealed significant insights into the research trends and hotspots in the field of asthma and depression. The primary findings indicate a growing body of research highlighting the impact of depression on asthma control and patients’ quality of life, the need for psychological interventions in treating comorbid asthma and depression, and the emerging focus on severe asthma and oxidative stress mechanisms. These findings underscore the importance of continued research in these areas to advance our understanding and improve clinical outcomes for patients with these comorbid conditions.
Keywords: asthma, depression, bibliometric analysis, hotspots, research trends