Evidence map›Paper›PMID 40234849›Full record

ArticleBMC public health2025

Too much social media to sleep: the chained mediation effect of information strain and depressive symptoms on the relationship between social media overload and insomnia.

Tian Xie, Yangyang Wang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Tian XieInstitute of Journalism, Shanghai Academy of Social Sciences, No. 622 Shunchang Road, Shanghai, China.
Yangyang WangSchool of Communication, Soochow University, No.1 Wenjing Road, Suzhou Industrial Park, Suzhou, 215123, China. yywang2023@suda.edu.cn.

Funding

Social Science Youth Foundation of Jiangsu Province 24ZHC007
6 · The paper itself

Abstract

backgroundAlthough the relationship between social media use and insomnia has been confirmed, few studies have explored the association between social media overload and insomnia, and the underlying mechanism is still unclear. The present research aims to propose a theoretical model in which information strain and depressive symptoms serve as mediating variables between social media overload and insomnia, providing new empirical evidence for the impact mechanism of insomnia.

methods644 college students participated in the questionnaire survey, they all completed a self-report questionnaire with demographic information, social media overload, information strain, depressive symptoms, and insomnia. The data were processed using SPSS26 and the PROCESS4.0 tool.

resultsSocial media overload, information strain, depressive symptoms, and insomnia were positively and significantly associated with each other. Information strain and depressive symptoms mediated the association between social media overload and insomnia. There also existed a chain-mediating effect between social media overload and insomnia.

conclusionsThis study highlights the potential negative effects of social media overload on sleep problems. The results of this article emphasize the importance of promoting good social media usage habits and healthy lifestyles during public health emergencies, which are important for improving health outcomes.

Indexed as

DepressionSleep Initiation and Maintenance DisordersSocial MediaStress, PsychologicalAdolescentAdultFemaleHumansMaleSelf ReportStudentsSurveys and QuestionnairesYoung AdultDepressive symptomsInformation strainInsomniaSocial media overload

Identifiers

PMID40234849
PMCPMC11998352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.