Sex-specific psychological mechanisms of cyber reactive aggression: evidence from Chinese college students.

Qian-Nan Ruan, Fei-Rui Ni, Ru-Ying Yu, Yongjian Lin

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In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

Identifying risk profiles and systemic architecture of online aggressive behavior among college students: a large-scale cross-sectional study.BMC public health · 2026
Article

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5 · Who and what money

Authors and funding

4 authors.

Qian-Nan RuanWenzhou Depression Specialty Center, Wenzhou Seventh People's Hospital, Wenzhou Medical University, Wenzhou, China.

Fei-Rui NiWenzhou Depression Specialty Center, Wenzhou Seventh People's Hospital, Wenzhou Medical University, Wenzhou, China.

Ru-Ying YuDepartment of Student Affairs, Wenzhou University, Wenzhou, China.

Yongjian LinWenzhou Depression Specialty Center, Wenzhou Seventh People's Hospital, Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated sex-specific psychological mechanisms underlying cyber reactive aggression (CRA) among Chinese college students, addressing a critical gap in understanding how trait anger (TA), hostile attribution bias (HAB), and revenge motivation (RM) differently influence male and female online aggressive behaviors. Using convenience sampling, we collected data from 926 students (371 males, 555 females) across 12 universities in China. Network analysis with mgm package revealed distinct sex-specific patterns: male participants showed strong TA-HAB and RM-CRA associations, while female participants exhibited prominent HAB-CRA relationships. Notably, maternal education levels were positively associated with aggressive behavior in both sexes (males: weight = 0.22; females: weight = 0.14), while left-behind experiences uniquely was associated with higher HAB in males (weight = 0.55). Multi-group structural equation modeling further validated these sex-specific pathways: TA was significantly associated with CRA in both sexes (males: β = 0.40,

Indexed as

cyber reactive aggression (CRA)hostile attribution bias (HAB)network analysisrevenge motivation (RM)sex differencestrait anger (TA)

Identifiers

PMID41924053

DOI10.3389/fpsyg.2026.1764030

PMCPMC13035786

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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.