Evidence map›Paper›PMID 42193648›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

The Relationship Between Ostracism and Mental Health Issues Among College Students: The Chain Mediating Role of Rumination and Smartphone Addiction.

Chi Zhang, Zheng Wang, Wei Hua, Jiuchun Lin, Dongying Liu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chi ZhangSchool of Chinese Language and Literature, Harbin Normal University, Harbin 150080, China.ORCID 0009-0001-8158-8031
Zheng WangSchool of Public Management, Guangzhou Nanfang College, Guangzhou 510970, China.
Wei HuaSchool of Education Science, Nanjing Normal University, Nanjing 210097, China.
Jiuchun LinForeign Languages Studies, Faculty of Humanities and Social Sciences, Harbin Institute of Technology, Harbin 150001, China.
Dongying LiuSchool of Literature, Heilongjiang University, Harbin 150080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health issues, particularly symptoms of anxiety and depression, have become increasingly prominent among college students, with negative experiences such as ostracism identified as important correlates. However, the potential pathways linking ostracism to mental health issues remain to be further explored. By incorporating rumination and smartphone addiction, this study aimed to examine the associations among ostracism, rumination, smartphone addiction, and mental health issues in college students. A cross-sectional, self-reported questionnaire survey was conducted among 632 college students, measuring these four variables simultaneously. Correlation analyses and mediation analyses using a chain mediation model with bootstrap estimation were employed to examine the relationships among these variables. The results revealed significant positive associations among ostracism, rumination, smartphone addiction, and mental health issues. Further analyses indicated that rumination and smartphone addiction played a chain mediating role between ostracism and mental health issues. The bootstrap confidence intervals confirmed the significance of the indirect effects, which accounted for 32.62% of the total effect. These findings provide insight into the interrelationships among ostracism, rumination, smartphone addiction, and mental health issues in college students, contributing to a better understanding of factors related to mental health issues in this population and offering a reference for future research and potential intervention development in college settings.

Indexed as

college studentsmental health issuesostracismruminationsmartphone addiction

Identifiers

PMID42193648
PMCPMC13203679

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.