Evidence map›Paper›PMID 40053762›Full record

ArticleJournal of medical Internet research2025

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

AnHang Jiang, Shuang Li, HuaBin Wang, HaoSen Ni, HongAn Chen, JunHong Dai, XueFeng Xu, Mei Li, Guang-Heng Dong

Abstract readValidation Study
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

AnHang JiangZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0009-0007-6255-9546
Shuang LiZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0009-0008-9759-0751
HuaBin WangZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0009-0009-9146-4372
HaoSen NiZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0009-0007-5545-6397
HongAn ChenZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0009-0004-9971-6865
JunHong DaiZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0000-0002-2232-4853
XueFeng XuZhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0009-0005-0719-0219
Mei Li *Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.ORCID https://orcid.org/0009-0004-4249-4480
Guang-Heng Dong *Department of Psychology, Yunnan Normal University, Kunming, China.ORCID https://orcid.org/0000-0001-8813-8730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShort-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.

objectiveThis study aims to develop and validate a scientific tool to measure SVD levels, ensuring a scientifically determined cutoff point.

methodsWe 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.

resultsThe 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 (r

conclusionsWe 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.

Indexed as

Behavior, AddictiveInternetInternet Addiction DisorderMental HealthAdolescentAdultFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung Adultconfirmatory factor analysiscutoff pointexploratory factor analysisinternet addictionlatent profile analysismental healthproblematic short-video usescale developmentshort videoshort-video dependence

Identifiers

PMID40053762
PMCPMC11920665

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.