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. 2022 Apr 28:13:860758.
doi: 10.3389/fpsyt.2022.860758. eCollection 2022.

Research Hotspots and Trends in Music Therapy Intervention for Patients With Dementia: A Bibliometrics and Visual Analysis of Papers Published From 2010 to 2021

Shao Yin  1 , Fengya Zhu  2 , Zhao Li  1 , Deya Che  2 , Liuying Li  2 , Lu Zhang  3 , Yue Zhong  2 , Biao Luo  2 , Xiaohan Wu  2
Affiliations

Research Hotspots and Trends in Music Therapy Intervention for Patients With Dementia: A Bibliometrics and Visual Analysis of Papers Published From 2010 to 2021

Shao Yin et al. Front Psychiatry. .

Abstract

Background: As a serious public health problem, dementia has placed a heavy burden on society and families. Evidence suggests that the use of music therapy as a non-pharmacological intervention has certain advantages with respect to reducing the behavioral and psychological symptoms of dementia (BPSD) and improving the cognition and mental status of dementia patients. However, research trends and hotspots regarding music therapy intervention for dementia analysis have not been systematically studied via bibliometric analysis.

Methods: We searched the Web of Science Core Collection (WoSCC) for texts published between January 1, 2010, and October 31, 2021, and visualized country, institution, journal, keyword co-occurrence, keyword emergence and keyword clustering.

Results: A total of 217 articles from the WoSCC database were analyzed. In this research field, the annual number of publications has generally shown a slowly increasing trend, and the United States has the most publications and the most frequent cooperation among countries. University College London (UCL) has the most extensive influence among research institutions. Among articles, those published in the JOURNAL OF ALZHEIMER'S DISEASE were the most numerous, with 20 such articles being published, accounting for 9.22% (20/217) of the total. Comprehensive analysis of five clusters via biclustering shows that the research hotspots in this field during the past 11 years have mainly focused on the autobiographical memory, cognitive function, mental state and BPSD of dementia patients.

Conclusion: This study conducted a bibliometric and visual analysis of relevant studies concerning music therapy intervention for dementia patients. Psychological problems faced by dementia patients and the topics of quality of life, individualized music therapy, the mental state of caregivers and other related topics may be important research directions in the future. Therefore, the question of how to develop standardized research protocols and identify unified efficacy evaluation indicators should be a focus of and difficulty for future research.

Keywords: CiteSpace; Web of Science; bibliometric analysis; biclustering analysis; dementia; music therapy; research hotspots.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of included and excluded studies.
Figure 2
Figure 2
Annual trend chart of publications included in WoS database from 2010 to 2021.
Figure 3
Figure 3
(A) The growth trends of the top 10 countries in terms of the number of published articles from 2010 to 2021. (B) Geographical distribution of music therapy for dementia publications.
Figure 4
Figure 4
The cooperation of countries in the field of music therapy for dementia from 2010 to 2021.
Figure 5
Figure 5
Academic collaboration between different institutions in the field of music therapy for dementia.
Figure 6
Figure 6
Keyword co-occurrence diagram.
Figure 7
Figure 7
Top 15 keywords with the strongest citation bursts.
Figure 8
Figure 8
Time zone graph of keywords in articles published in the field of music therapy for dementia from 2010 to 2021.
Figure 9
Figure 9
The biclustering result of highly frequent keywords and source articles in the field of music therapy for dementia from 2010 to 2021. (A) Matrix visualization of biclustering of 28 high-frequency keywords and source articles. (B) Mountain visualization of biclustering of 28 high-frequency keywords and source articles.
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