<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The rise of social media has spotlighted the online behaviors of its users, particularly among college students in China, a key demographic. This study surveyed 1,418 undergraduates from five universities in S city, employing correlation analysis to explore the relationship between social media usage and mental health. A predictive model was developed to quantify the associations within social networks. Our study, including independent sample tests, reveals a positive correlation between social media dependency and ten mental health indicators, with a maximum correlation strength of 0.4919. The findings underscore the importance of fostering critical engagement with social media and developing strategies to mitigate its addictive aspects among college students.</p>
</abstract>

The rise of social media has spotlighted the online behaviors of its users, particularly among college students in China, a key demographic. This study surveyed 1,418 undergraduates from five universities in S city, employing correlation analysis to explore the relationship between social media usage and mental health. A predictive model was developed to quantify the associations within social networks. Our study, including independent sample tests, reveals a positive correlation between social media dependency and ten mental health indicators, with a maximum correlation strength of 0.4919. The findings underscore the importance of fostering critical engagement with social media and developing strategies to mitigate its addictive aspects among college students.

Analysis of Social Media Behavior of Students in Colleges and Universities and Its Indicative Implications for Mental Health

Ningbo University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The rise of social media has spotlighted the online behaviors of its users, particularly among college students in China, a key demographic. This study...

Analysis of Social Media Behavior of Students in Colleges and Universities and Its Indicative Implications for Mental Health

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 03. Apr. 2024

Akzeptiert: 15. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0970

Schlüsselwörter
Correlation analysis, Strength of association, Strength prediction model, Social network space, Mental health

© 2024 Yingying Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of Social Media Behavior of Students in Colleges and Universities and Its Indicative Implications for Mental Health

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 03. Apr. 2024

Akzeptiert: 15. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0970

SchlüsselwörterCorrelation analysis, Strength of association, Strength prediction model, Social network space, Mental health

© 2024 Yingying Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Correlation analysis, Strength of association, Strength prediction model, Social network space, Mental health