Latent types of cognitive emotion regulation strategies among middle school students in China and its effect on depressive symptoms

The level of depressive symptoms among middle school students from southwestern regions in China is relatively high, and their cognitive emotion regulation strategies can be divided into four types, having significant effects on depressive symptoms.

Authors

Institutions

Publication Details

Journal
Journal of Affective Disorders
Published
2025-04-06
DOI
https://doi.org/10.1016/j.jad.2025.04.021
Citations
2
Primary Topic
Child and Adolescent Psychosocial and Emotional Development
Type
article
Field-Weighted Citation Impact
4.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Latent types of cognitive emotion regulation strategies among middle school students in China and its effect on depressive symptoms

Yong Pan, Jichang Guo
2 citations
Journal of Affective Disorders
Child and Adolescent Psychosocial and Emotional Development
4.61
article

Latent types of cognitive emotion regulation strategies among middle school students in China and its effect on depressive symptoms

Yong Pan, Jichang Guo
article en
2 citations

Abstract

The level of depressive symptoms among middle school students from southwestern regions in China is relatively high, and their cognitive emotion regulation strategies can be divided into four types, having significant effects on depressive symptoms.

Journal of Affective DisordersVol. 381
Minzu Normal University of Xingyi (CN)
Openalex Percentile: Top 7%
Child and Adolescent Psychosocial and Emotional Development
4.61
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.