Evidence map›Paper›PMID 41743515›Full record

ArticleFrontiers in behavioral neuroscience2026

Effect of impact mechanism and intervention measures on sleep quality of college students addicted to short video: a randomly controlled trial.

Jiayu Feng, Huiyan Ni, Zongping Hou, Lin Zhao, Xu Lei

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jiayu FengDepartment of Psychology, Southwest University, Chongqing, China.
Huiyan NiMailman School of Public Health, Columbia University in the City of New York, New York, NY, United States.
Zongping HouSchool of Journalism and Media, Southwest University, Chongqing, China.
Lin ZhaoDepartment of Internal Medicine, Xinxiang Central Hospital, Xinxiang, Henan Province, China.
Xu LeiDepartment of Psychology, Southwest University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rapid growth of short video platforms has raised concerns about their impact on users' mental health, particularly sleep quality. The aim of this research is to investigate the relationship between short video addiction and sleep quality among college students, examine the differential impacts of algorithm types (personalized vs. community-based) and content types on sleep parameters, and evaluate the effectiveness of a multi-component intervention. Methods: Sixty college students (aged 18-25) meeting criteria for short video addiction (PSQI ≥5, daily usage ≥2 h) were randomly assigned to personalized algorithm ( Results: Personalized algorithms significantly worsened sleep quality compared to community-based algorithms (PSQI: 10.4 ± 2.3 vs. 8.7 ± 2.1, Conclusion: Short video addiction significantly impacts sleep quality. The combination of personalized algorithms and entertainment content creates particularly detrimental conditions for sleep. A comprehensive intervention incorporating CBT, digital tools, and social support effectively improves sleep quality and reduces addiction symptoms.

Indexed as

algorithm recommendationcollege studentsintervention measuresshort video addictionsleep quality

Identifiers

PMID41743515
PMCPMC12929400

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.