Identification of central symptoms in problematic WeChat use and depression among Chinese college students: a network analysis

The findings of this study further elucidate the impact of problematic WeChat use on depression among college students, providing both theoretical and practical insights for developing interventions targeting WeChat use and depression within this demographic.

Authors

Institutions

Publication Details

Journal
BMC Psychiatry
Published
2024-11-15
DOI
https://doi.org/10.1186/s12888-024-06235-8
Citations
4
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
2.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of central symptoms in problematic WeChat use and depression among Chinese college students: a network analysis

Ke Chen, Jiaqiong Xie, Ting Li, YanJie Shan et al.
4 citations
BMC Psychiatry
Mental Health Research Topics
2.03
article

Identification of central symptoms in problematic WeChat use and depression among Chinese college students: a network analysis

Ke Chen, Jiaqiong Xie, Ting Li, YanJie Shan, Yadong Sun
article en
4 citations

Abstract

The findings of this study further elucidate the impact of problematic WeChat use on depression among college students, providing both theoretical and practical insights for developing interventions targeting WeChat use and depression within this demographic.

BMC PsychiatryVol. 24(1)
Chongqing University (CN)
Chongqing Municipal Education Commission, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 12%
Mental Health Research Topics
2.03
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.