A Bird's-Eye View of Exercise Intervention in Treating Depression Among Teenagers in the Last 20 Years: A Bibliometric Study and Visualization Analysis

Abstract

Background: Exercise is medicine. Multiple studies on the effects and mechanisms of exercise in treating depression among teenagers and adolescents have been widely reported. However, literature involving scientometric analysis of this topic is sparse. Here, we endeavored to conduct a bibliometric study and visualization analysis to give a bird's-eye view of publications between 2000 and 2020 on exercise therapy treating depression.Methods: Relevant original publications were obtained from the Science Citation Index Expanded in the Web of Science Core Collection (WoSCC) database between 2000 and 2020. CiteSpace (5.7.R 5) and VOSviewer (1.6.16) software were used to perform bibliometric analysis of countries, institutions, categories, journals, authors, references, and keywords involved in this topic.Results: A total number of 975 articles on this field were retrieved from the WoSCC database and we identified an overall increase in the amount of publications over the past two decades, with the United States and Harvard University leading the field. Most related publications were published in the journals with a focus on sport, medicine, rehabilitation, psychology, and health, as represented by the dual-map overlay. A series of authors and co-cited authors were identified as main contributors in the exercise-depression-teenager domain. Three major clusters were explored based on the reference co-citation analysis: “exercise,” “suicide,” and “concussion”.Conclusions: Current concerns and hotspots of exercise intervention in depression treatments were summarized by “individual level,” “social level,” “role of exercise,” and “research quality.” We considered that the following four directions were potential future perspectives: “research on the effect of specific exercise intervention,” “research on the essence of exercise and sports,” “research on the combination mode of ‘exercise + X',” and “research on the micro and molecular level,” which should receive more attention.

Developments and Emerging Trends in the Global Treatment of Chronic Rhinosinusitis From 2001 to 2020: A Systematic Bibliometric Analysis

“…First, continuous updating of the changes in the database might have led to variations between search results and the number of actual publications included. Second, considering that the WoSCC database is one of the most extensive and well-recognized global resources ( 17 , 47 ), the information on these publications was only from WoSCC, so some publications from other databases may have been missed. Third, the omission of books/chapters/letters and the consideration of articles published in English alone may have led to some biases in our analyses.…”

“…Bibliometric analysis has emerged in various research domains ( 16 ). In contrast to traditional systematic reviews and meta-analyses, bibliometric analysis can reveal the current status and development of research topics more systematically and visually ( 17 ). Bibliometric analysis can also be used to identify current highlights and “hotspots” for researchers to generate ideas and perspectives to guide future research orientations in a particular field.…”

Physical Exercise in the Context of Air Pollution: An Emerging Research Topic

“…To avoid bias, all hits were retrieved as “full-record and cited-references” files from WoSCC on August 12, 2021 for further analysis. Referring to the previous pieces of research (Yan et al, 2020 ; You et al, 2021a , c ), we only selected “articles or reviews” for analysis, and the language was limited to “English”; other document types and non-English articles were excluded. The reason for setting the time range in the new century was that few publications related to AP-PE were produced before year 2001.…”

Global Trends and Research Hotspots of Exercise for Intervening Diabetes: A Bibliometric Analysis

“…The CiteSpace 5.8.R 2 Version (Drexel University, Philadelphia, USA), a Java-based application, was utilized to perform the bibliometric analysis on the papers, involving the analysis of publications, journals, authors, references, countries, institutions, and keywords. The CiteSpace V software, an exemplary scientometric analysis method, was utilized to conduct literature analysis ( 14 ). The arguments of CiteSpace software were set as follows: time span = 2000–2020, years per slice = 1, term source = all selection, node type = select the corresponding analysis target at a time, selection criteria = top 50, and pruning = none.…”