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

<b>Objective:</b> 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). <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusions:</b> 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.

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Publication Details

Journal
Journal of American College Health
Published
2024-09-20
DOI
https://doi.org/10.1080/07448481.2024.2400570
Citations
1
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.64
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article

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

Soohyung Joo, Vivian Wang
1 citations
Journal of American College Health
Mental Health via Writing
0.64
article

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

Soohyung Joo, Vivian Wang
article en
1 citations

Abstract

<b>Objective:</b> 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). <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusions:</b> 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.

Journal of American College HealthVol. 73(9)
University of Wisconsin–Madison (US), University of Kentucky (US)
Openalex Percentile: Top 27%
Mental Health via Writing
0.64
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Mental health issues of higher education students reflected in academic research: A text mining study — Soohyung Joo, Vivian Wang · Journal of American College Health (2024) | TGRS Research Map | TGRS