Evidence map›Paper›PMID 42421157›Full record

ArticleBMC psychology2026

Psychological correlates of problematic short video use risk profiles: A latent profile and network analysis.

Yuzhou Chen, Jiayu Li, Haidi Shan, Na Zhong, Min Zhao

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuzhou ChenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Jiayu LiDepartment of Psychology, Hebei Normal University, Shijiazhuang, China.
Haidi ShanShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Na ZhongShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China. winco917@hotmail.com.
Min ZhaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China. drminzhao@gmail.com.

Funding

Science Foundation of Hebei Normal University No. L2026B42Science Research Project of Hebei Education Department No. QN2026828
6 · The paper itself

Abstract

backgroundThe 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.

methodsTo 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.

resultsThree 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.

conclusionsThe 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.

Indexed as

Internet Addiction DisorderMotivationPersonalityAdolescentAdultDigital MediaEmotionsFemaleHumansMaleYoung AdultEscapismI-PACELatent profile analysisNegative emotionNetwork analysisProblematic short video use

Identifiers

PMID42421157
PMCPMC13628789

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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.