Using big data to analyze the mental health status of college students

In recent years, with the increase of the number of college students and the change of social pressure, the problem of students’ mental health has gradually been widely concerned by the society. The purpose of this study is to systematically evaluate and analyze the mental health status of college students and explore the core factors that affect their mental health. Using big data technology and SCL-90 scale, this study assessed the mental health of a sample of students within a certain range. The results show that academic pressure, interpersonal relationship, living habits, and personal experience are the main influencing factors of students’ mental health. Based on these findings, the study provides a series of specific mental health intervention recommendations and strategies for colleges and universities. This study not only provides targeted mental health strategy suggestions for colleges and universities but also provides a new research perspective and method for mental health research.

Authors

Institutions

Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2024-11-01
DOI
https://doi.org/10.1177/14727978241296987
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using big data to analyze the mental health status of college students

Xinying Xu
Journal of Computational Methods in Sciences and Engineering
Mental Health via Writing
article

Using big data to analyze the mental health status of college students

Xinying Xu
article en

Abstract

In recent years, with the increase of the number of college students and the change of social pressure, the problem of students’ mental health has gradually been widely concerned by the society. The purpose of this study is to systematically evaluate and analyze the mental health status of college students and explore the core factors that affect their mental health. Using big data technology and SCL-90 scale, this study assessed the mental health of a sample of students within a certain range. The results show that academic pressure, interpersonal relationship, living habits, and personal experience are the main influencing factors of students’ mental health. Based on these findings, the study provides a series of specific mental health intervention recommendations and strategies for colleges and universities. This study not only provides targeted mental health strategy suggestions for colleges and universities but also provides a new research perspective and method for mental health research.

Journal of Computational Methods in Sciences and EngineeringVol. 24(6)
Jiangsu University of Science and Technology (CN)
Openalex Percentile: Top 65%
Mental Health via Writing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Using big data to analyze the mental health status of college students — Xinying Xu · Journal of Computational Methods in Sciences and Engineering (2024) | TGRS Research Map | TGRS