Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

May 3, 2024


Pages


DOI

Article

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

Check for updates


Authors

Yingying Zhang Affiliation:
Ningbo University of Finance and Economics, Ningbo, Zhejiang, 315300, China.
and Danfeng Feng Affiliation:
Ningbo University of Finance and Economics, Ningbo, Zhejiang, 315300, China.


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.


Keywords

Correlation analysis, Strength of association, Strength prediction model, Social network space, Mental health, 35B27


Citation

Zhang, Y. & Feng, D. (2024). Analysis of social media behavior of students in colleges and universities and its indicative implications for mental health. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0970
0 Total citations
0.00 FWCI
0 Recent citations
(2 years)
17 References
Open Access Yes
View full metrics

Published by: Engineering Journals

Engineering Journals Logo