Negative emotional symptoms and e-Health literacy among Chinese college students: a latent profile analysis

This study identified two distinct latent profiles of negative emotional symptoms among Chinese college students and their key predictive factors using LPA. The findings highlight the need for stratified early screening for high-risk groups (females, low-income families, inactive individuals, and drinkers) and the development of targeted interventions. Enhancing e-HL could be a potential pathway to improve mental health outcomes, providing actionable insights for scientific and effective mental health management in colleges and universities.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2026-03-04
DOI
https://doi.org/10.3389/fpsyg.2026.1760468
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Negative emotional symptoms and e-Health literacy among Chinese college students: a latent profile analysis

Zhenning Liang, Chenxi Wang, Yusupujiang Tuersun, Siyuan Liu et al.
Frontiers in Psychology
Mental Health Treatment and Access
article

Negative emotional symptoms and e-Health literacy among Chinese college students: a latent profile analysis

Zhenning Liang, Chenxi Wang, Yusupujiang Tuersun, Siyuan Liu, Yao Yu, Yuying Xie, Yi Qian, Q. Zhou, Di Dai
article en

Abstract

This study identified two distinct latent profiles of negative emotional symptoms among Chinese college students and their key predictive factors using LPA. The findings highlight the need for stratified early screening for high-risk groups (females, low-income families, inactive individuals, and drinkers) and the development of targeted interventions. Enhancing e-HL could be a potential pathway to improve mental health outcomes, providing actionable insights for scientific and effective mental health management in colleges and universities.

Frontiers in PsychologyVol. 17
Sun Yat-sen University (CN), The Seventh Affiliated Hospital of Sun Yat-sen University (CN), Shenzhen Maternity and Child Healthcare Hospital (CN), Southern Medical University (CN)
National Social Science Fund of China
Quality Education
Openalex Percentile: Top 44%
Mental Health Treatment and Access
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.