Mental health and health-related behaviors in Chinese college students: the role of physical education

PE class may provide an important context for promoting health-related behaviors and mental health among university students. However, given the cross-sectional design, causal relationships cannot be inferred. Longitudinal and intervention studies are needed to confirm these findings and clarify underlying mechanisms.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-10-16
DOI
https://doi.org/10.3389/fpubh.2025.1688244
Citations
1
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mental health and health-related behaviors in Chinese college students: the role of physical education

Zong Tian, XU Qing, Zan Zhou
1 citations
Frontiers in Public Health
Physical Activity and Health
1.16
article

Mental health and health-related behaviors in Chinese college students: the role of physical education

Zong Tian, XU Qing, Zan Zhou
article en
1 citations

Abstract

PE class may provide an important context for promoting health-related behaviors and mental health among university students. However, given the cross-sectional design, causal relationships cannot be inferred. Longitudinal and intervention studies are needed to confirm these findings and clarify underlying mechanisms.

Frontiers in Public HealthVol. 13
Shaoxing University (CN), Beijing Health Vocational College (CN)
Openalex Percentile: Top 17%
Physical Activity and Health
1.16
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.