Evidence map›Paper›PMID 42903291›Full record

ArticleFrontiers in psychology2026

Profiles of cybervictimization among college students and associated psychosocial patterns: a latent profile and network analysis.

Honglei Wang, Lixuan Zhuang, Xi Zhang, Tengfei Yu, Ting Liu, Xiuling Yang

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Article in Frontiers in psychology, 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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5 · Who and what money

Authors and funding

6 authors.

Honglei WangSchool of Nursing, Qingdao University, Qingdao, Shandong, China.
Lixuan ZhuangSchool of Nursing, Qingdao University, Qingdao, Shandong, China.
Xi ZhangSchool of Nursing, Qingdao University, Qingdao, Shandong, China.
Tengfei YuSchool of Nursing, Qingdao University, Qingdao, Shandong, China.
Ting LiuSchool of Nursing, Qingdao University, Qingdao, Shandong, China.
Xiuling YangSchool of Nursing, Qingdao University, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cybervictimization has become a prevalent global public concern as it threatens the wellbeing of young people. Understanding the distinct patterns of cybervictimization, along with their associated factors is crucial for developing effective interventions. Methods: A total of 1,009 college students were selected from three comprehensive universities in Shandong Province, China, via convenience sampling. Participants completed online assessments of cybervictimization and related variables. Latent profile analysis was employed to classify the cybervictimization subgroups, and network analysis was used to explore the interaction of risk factors among different subgroups, identifying core risk factors. Results: The major results are summarized as follows: (1) The cybervictimization among college students were classified into three distinct subgroups: low cybervictimization group (48.3%), moderate cybervictimization group (38.2%), and high cybervictimization group (13.5%). (2) Network analysis revealed that School belonging was the primary core factor (strength/expected influence = 2.125/1.920). The low and moderate cybervictimization groups showed higher strength and expected influence in online comfort (low: 0.481/1.041, moderate: 0.389/0.931), while the high cybervictimization group had higher values in online contact risk and deficient impulse control (strength = 0.730/1.060). Furthermore, the Network Comparison Test (NCT) confirmed significant differences in symptom network structure between the low and high cybervictimization networks ( Conclusion: This study identified three latent profiles of cybervictimization among college students and revealed both shared and profile-specific central factors, with school belonging central across all profiles and online contact risk and deficient impulse control particularly salient in the high-victimization group. These findings advance understanding of the psychosocial mechanisms underlying cybervictimization and offer preliminary, subgroup-informed insights for its prevention among college students.

Indexed as

college studentcybervictimizationlatent profile analysisnetwork analysispsychosocial factors

Identifiers

PMID42903291
PMCPMC13680416

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