The Network Relationship Between the Core Elements of Interpersonal Communication Competence and Depression in Chinese College Students

Depression is a prevalent mental health problem among college students, often stemming from academic stress, social pressure, and self-regulatory needs. This study explored the intricate network relationships between interpersonal communication competence and depressive symptoms to understand better how these variables interact and influence students' mental health. Using a sample of 486 college students from a university in Shandong, China, this study examined the centrality, connectivity, and predictability between 10 dimensions of interpersonal communication competence and dimensions of depressive symptoms using network analysis. Results indicated that stronger interpersonal communication competences, particularly altercentrism, immediacy, and supportiveness, were protective factors for depression, contributing to emotional support and reduced loneliness. Altercentrism is the highest level of mediation between interpersonal competence and depression. The study identified gender differences, with men relying more on immediacy, while women emphasized interaction management and expressiveness. The findings highlight the importance of gender-specific interventions that address gender-specific needs, and that such interventions can improve interpersonal communication competences as a strategy for alleviating depression in college students.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-02-22
DOI
https://doi.org/10.7759/cureus.79454
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Network Relationship Between the Core Elements of Interpersonal Communication Competence and Depression in Chinese College Students

XiaoShuang Li, Ma. Agatha Anne D. Guintu
Cureus
Mental Health Research Topics
article

The Network Relationship Between the Core Elements of Interpersonal Communication Competence and Depression in Chinese College Students

XiaoShuang Li, Ma. Agatha Anne D. Guintu
article en

Abstract

Depression is a prevalent mental health problem among college students, often stemming from academic stress, social pressure, and self-regulatory needs. This study explored the intricate network relationships between interpersonal communication competence and depressive symptoms to understand better how these variables interact and influence students' mental health. Using a sample of 486 college students from a university in Shandong, China, this study examined the centrality, connectivity, and predictability between 10 dimensions of interpersonal communication competence and dimensions of depressive symptoms using network analysis. Results indicated that stronger interpersonal communication competences, particularly altercentrism, immediacy, and supportiveness, were protective factors for depression, contributing to emotional support and reduced loneliness. Altercentrism is the highest level of mediation between interpersonal competence and depression. The study identified gender differences, with men relying more on immediacy, while women emphasized interaction management and expressiveness. The findings highlight the importance of gender-specific interventions that address gender-specific needs, and that such interventions can improve interpersonal communication competences as a strategy for alleviating depression in college students.

CureusVol. 17(2)
Weifang Medical University (CN), Angeles University Foundation (PH)
Gender equality
Openalex Percentile: Top 97%
Mental Health Research Topics
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.