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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Sep 10, 2024
Date Accepted: Jan 29, 2025

The final, peer-reviewed published version of this preprint can be found here:

Assessing Short-Video Dependence for e-Mental Health: Development and Validation Study of the Short-Video Dependence Scale

Jiang A, Ni H, Li S, Chen H, Dai J, Xu X, Wang H, Li M

Assessing Short-Video Dependence for e-Mental Health: Development and Validation Study of the Short-Video Dependence Scale

J Med Internet Res 2025;27:e66341

DOI: 10.2196/66341

PMID: 40053762

PMCID: 11920665

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Development and validation of the short video dependence scale

  • AnHang Jiang; 
  • Haosen Ni; 
  • Shuang Li; 
  • Hongan Chen; 
  • Junhong Dai; 
  • Xuefeng Xu; 
  • Huabin Wang; 
  • Mei Li

ABSTRACT

Short video dependence (SVD) has become a significant mental health issue around the world. The lack of scientific tools to assess SVD levels hampers further advancement in this area. The current study was set to develop and validate a scientific tool to measure SVD levels. We first interviewed 115 highly engaged short video users aged 15 to 63 years. Based on the summary of the interview and references to the DSM-5 proposed criteria for behavioral addictions, we proposed the first version of the short video dependence scale (SVDS). Secondly, we screened the items by item analysis (2nd version) and extracted common factors using exploratory factor analysis (3rd version) and confirmatory factor analysis (final version). Thirdly, convergent validity was tested with other scales. Finally, we tested the validity of the final version on 16,038 subjects and used set the diagnostic cut-off point through latent profile analysis and receiver operating characteristic curve analyses. The final version of the SVDS contained 20 items and four dimensions, which showed strong structural validity (KMO = 0.942), internal consistency (Cronbach's α = 0.928), good convergent validity, sensitivity, and specificity. Additionally, the SVDS score of 58 was determined as the best cut-off score, and LPA identified a 5-class model for SVD. The current study developed a scientific tool measuring the short video dependence level and provided a distinct threshold for diagnosing dependent and highly engaged non-dependent users of short video, offering opportunities for advanced research revolving impacts of short video.


 Citation

Please cite as:

Jiang A, Ni H, Li S, Chen H, Dai J, Xu X, Wang H, Li M

Assessing Short-Video Dependence for e-Mental Health: Development and Validation Study of the Short-Video Dependence Scale

J Med Internet Res 2025;27:e66341

DOI: 10.2196/66341

PMID: 40053762

PMCID: 11920665

Per the author's request the PDF is not available.