Psychological correlates of problematic short video use risk profiles: A latent profile and network analysis
Chen Y, Li J, Shan H, Zhong N, Zhao M
BMC psychology · 0 citations
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- University or hospital
- Science Foundation of Hebei Normal University
- Government
- Science Research Project of Hebei Education Department
Based on 2 listed funder(s).
Publication
- Published
- 2026-07-08 · BMC Psychol
- Publisher
- BioMed Central
- Cited
- 1 citation · more than 98% of similar papers · 13.9× the field average
- Impact
- Top 10% most cited in its field
- References
- 0 works
- Access
- Open access (journal) · CC-BY-NC-ND
- Research areas
- Impact of Technology on Adolescents · Mental Health Research Topics · Digital Mental Health Interventions
- Keywords
- short video platforms, risk profile, user heterogeneity, motivational factors, emotional distress, personality traits, behavioral indicators, person-centered approach
5 authors
From CN
- Yuzhou ChenShanghai Jiao Tong University; Shanghai Mental Health Center
- Jiayu LiHebei Normal University
- Haidi ShanShanghai Jiao Tong University; Shanghai Mental Health Center
- Na Zhong · correspondingShanghai Jiao Tong University; Shanghai Mental Health Center
- Min Zhao · correspondingShanghai Jiao Tong University; Chinese Academy of Sciences; Shanghai Mental Health Center; Center for Excellence in Brain Science and Intelligence Technology
Abstract
Background
The rapid rise of short video platforms has raised growing concerns about problematic short video use (PSVU). However, most existing research has adopted variable-centered approaches, with limited attention to potential heterogeneity among users with different levels of PSVU. In addition, little is known about how psychological correlates vary across PSVU risk profiles.
Methods
To address this gap, the present study employed latent profile analysis (LPA) and network analysis to identify PSVU risk profiles, characterize their psychological features, and explore associations among relevant psychological factors. A total of 1891 participants completed self-report measures assessing short video use patterns and related psychological variables.
Results
Three PSVU risk profiles were identified: adaptive users, vulnerable users, and problematic users. These profiles differed in short video use patterns and psychological characteristics. Network analyses further indicated differences in network structure across profiles. Motivational factors exhibited relatively high centrality, particularly among higher-risk profiles. The observed associations among emotional distress, personality traits, motivational factors, and behavioral indicators were summarized within an Emotion-Personality-Motivation-Behavior network perspective.
Conclusions
The findings provide an exploratory person-centered perspective on PSVU heterogeneity and suggest that the psychological correlates of PSVU vary across risk profiles. More broadly, the results may help inform future longitudinal research and support the development of more tailored approaches for identifying and addressing PSVU.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC-ND).
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