Assessing Short-Video Dependence for e-Mental Health: Development and Validation Study of the Short-Video Dependence Scale
Jiang A, Li S, Wang H, Ni H, Chen H, Dai J, Xu X, Li M, Dong GH
Journal of medical Internet research · 5 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
- Hangzhou Normal University
- Government
- Natural Science Foundation of Zhejiang Province
- Grants
- Hangzhou Normal University (20JYXK008); Natural Science Foundation of Zhejiang Province (LY20C090005)
Based on 2 listed funder(s).
Publication
- Published
- 2025-01-29 · J Med Internet Res · vol. 27 · p. e66341
- Publisher
- JMIR Publications
- Cited
- 11 citations · more than 99% of similar papers · 21.2× the field average
- Impact
- Top 10% most cited in its field
- References
- 44 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Impact of Technology on Adolescents · Digital Mental Health Interventions · Media Influence and Health
- Keywords
- behavioral addiction, e-mental health, scale development, psychometric validation, diagnostic thresholds, latent profile analysis, internet addiction
- MeSH
- humans, factor analysis, statistical, reproducibility of results, behavior, addictive, mental health, psychometrics, internet, adolescent, adult, middle aged, female, male, young adult, surveys and questionnaires, internet addiction disorder
9 authors
From CN
- Anhang JiangAffiliated Hospital of Hangzhou Normal University
- Shuang LiAffiliated Hospital of Hangzhou Normal University
- HuaBin WangAffiliated Hospital of Hangzhou Normal University
- Haosen NiAffiliated Hospital of Hangzhou Normal University
- Hongan ChenAffiliated Hospital of Hangzhou Normal University
- Junhong Dai
Abstract
Background
Short-video dependence (SVD) has become a significant mental health issue around the world. The lack of scientific tools to assess SVD hampers further advancement in this area.
Objective
This study aims to develop and validate a scientific tool to measure SVD levels, ensuring a scientifically determined cutoff point.
Methods
We initially interviewed 115 highly engaged short-video users aged 15 to 63 years. Based on the summary of the interview and references to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria for behavioral addictions, we proposed the first version of the short-video dependence scale (SVDS). We then screened the items through item analysis (second version) and extracted common factors using exploratory factor analysis (third version) and confirmatory factor analysis (final version). Convergent validity was tested with other scales (Chinese Internet Addiction Scale [CIAS] and DSM-5). Finally, we tested the validity of the final version in 16,038 subjects and set the diagnostic cutoff point through latent profile analysis and receiver operating characteristic curve analysis.
Results
The final version of the SVDS contained 20 items and 4 dimensions, which showed strong structural validity (Kaiser-Meyer-Olkin value=0.94) and internal consistency (Cronbach α=.93), and good convergent validity (rCIAS=0.61 and rDSM-5=0.68), sensitivity (0.77, 0.83, 0.87, and 0.62 for each of the 4 dimensions), and specificity (0.75, 0.87, 0.80, and 0.79 for each of the 4 dimensions). Additionally, an SVDS score of 58 was determined as the best cutoff score, and latent profile analysis identified a 5-class model for SVD.
Conclusions
We developed a tool to measure SVD levels and established a threshold to differentiate dependent users from highly engaged nondependent users. The findings provide opportunities for further research on the impacts of short-video use.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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