Mental health issues of higher education students reflected in academic research: A text mining study.

Objective: This study investigated mental health issues among higher education students to identify key concepts, topics, and trends over three periods of time: Period 1 (2000–2009), Period 2 (2010–2019), and Period 3 (2020–May 2024). Methods: The study collected 11,732 bibliographic records from Sc...

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Publicado en:Journal of American College Health Vol. 73; no. 9; pp. 3361 - 3375
Autores principales: Wang, Vivian, Joo, Soohyung
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Nov2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2025
      vid: 73
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      pub: Taylor & Francis Ltd
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        10.1080/07448481.2024.2400570
        189876327
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        atl: Mental health issues of higher education students reflected in academic research: A text mining study.
      aug:
        au:
          Wang, Vivian
          Joo, Soohyung
        affil: Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA
      sug:
        subj:
          Students, College Psychosocial Factors
          Academic Performance Psychosocial Factors
          Mental Disorders Therapy
          Research by Type and Subject
          United States
          Human
          Bibliometrics
          Data Mining
          Qualitative Studies
          Content Analysis
          Cluster Analysis
          Mental Disorders Epidemiology
          Psychological Well-Being
          Health Literacy
          Mental Health Teletherapy
          Descriptive Statistics
          Data Analysis Software
          Thematic Analysis
          Age Factors
          Race Factors
          Crime
          Student Health Services
          Victims
          Mental Disorders Risk Factors
          Risk Assessment
      ab: Objective: This study investigated mental health issues among higher education students to identify key concepts, topics, and trends over three periods of time: Period 1 (2000–2009), Period 2 (2010–2019), and Period 3 (2020–May 2024). Methods: The study collected 11,732 bibliographic records from Scopus and Web of Science, published between January 2000 and May 2024, and employed textual analysis methods, including keyword co-occurrence analysis, cluster analysis, and topic modeling. Results: In Period 1, general topics related to mental health disorders and treatments were identified. Period 2 showed prominence of well-being and help-seeking, as well as the emergence of digital mental health. Period 3 emphasized the impact of COVID-19 and increased technology usage. Conclusions: Based on the findings, we discussed the significance of the study and practical implications for clinicians and policymakers, as well as methodological implications for researchers. Additionally, the limitations of the study and future research were addressed.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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