The relationship among short-form video addiction, self-control, and emotional symptoms in college students: a network analysis
Zhang Y, Yu Q, Li T, Wu X, Cao J
BMC public health · 3 citations
How it was studied
- Design
- Cross-sectional study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- Government
- Natural Science Foundation of Heilongjiang Province
- Government
- Humanities and Social Science Fund of Ministry of Education of China
- Government
- Fundamental Research Funds for the Provincial Universities
- Grants
- Natural Science Foundation of Heilongjiang Province (LH2024H031); Humanities and Social Science Fund of Ministry of Education of China (24YJAZH005)
Based on 3 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2026-02-03 · BMC Public Health · vol. 26 · issue 1
- Publisher
- BioMed Central
- Cited
- 4 citations · more than 100% of similar papers · 55.6× the field average
- Impact
- Top 10% most cited in its field
- References
- 30 works
- Access
- Open access (journal) · CC-BY-NC-ND
- Research areas
- Impact of Technology on Adolescents · Mental Health Research Topics · Behavioral Health and Interventions
- Keywords
- short video addiction, self-control, emotional symptoms, depression, anxiety, university students, uncontrollability, network centrality
- MeSH
- humans, cross-sectional studies, affective symptoms, behavior, addictive, students, universities, adolescent, female, male, young adult, surveys and questionnaires, self-control, internet addiction disorder
5 authors
From CN
- Yani ZhangHarbin Medical University
- Qingyuan YuHarbin Medical University
- Tao LiHanjiang Normal University
- Xuesong WuHarbin Medical University
- Jianqin Cao · correspondingHarbin Medical University
Abstract
Background
Traditional regression or structural equation modeling often falls short in revealing the complex dynamic interactions among multiple variables. In contrast, network analysis not only conceptualizes college students'short video addiction, self-control, and emotional symptoms as interacting nodes, but also visually uncovers core symptoms and bridging mechanisms that are elusive to conventional approaches. Employing this method, the present study aims to elucidate the interactive mechanisms among college students' short video addiction, self-control, and emotional symptoms, thereby providing finer-grained empirical evidence for developing targeted intervention strategies.
Objective
This study employs network analysis to explore the relationships among short video addiction, self-control, and emotional symptoms in college students, aiming to provide empirical evidence for developing targeted interventions.
Methods
A cross-sectional design was adopted, with convenience sampling used to recruit participants from a medical university. A total of 5,754 valid questionnaires were collected. Measurement tools included the Short Video Addiction Scale for College Students, the Brief Self-Control Scale, the Self-Rating Depression Scale (SDS), and the Self-Rating Anxiety Scale (SAS). Regularized partial correlation networks were constructed using the "qgraph" and "bootnet" packages in R, and node centrality along with network stability were evaluated.
Results
The study revealed a complex interactive structure among short video addiction, self-control, and emotional symptoms. Statistically, "Uncontrollability" within short video addiction and "Self-discipline" within self-control demonstrated high centrality.
Conclusion
The study reveals a complex interactive structure among short video addiction, self-control, and emotional symptoms. Statistically, "Uncontrollability" within short video addiction and "Self-discipline" within self-control demonstrated high centrality. In practical terms, the findings suggest that enhancing self-discipline may serve as an effective entry point for intervening in addictive short video use behaviors.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC-ND).
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