Evidence map›Paper›PMID 39347513›Full record

ArticleDigital health

Comparison between problematic use of social media and YouTube to insomnia among Iranian adolescents: A mediating role of psychological distress.

Elahe Jafari, Po-Ching Huang, Fatemeh Zanjanchi, Marc N Potenza, Chung-Ying Lin, Amir H Pakpour

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

6 authors.

Elahe JafariSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Po-Ching HuangSchool of Physical Therapy, Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Fatemeh ZanjanchiSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Marc N PotenzaDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Chung-Ying LinBiostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Amir H PakpourSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID https://orcid.org/0000-0002-8798-5345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Problematic use of the internet has been linked to emotional and sleep concerns, although relationships with specific types of internet use are less well understood. YouTube, as an online platform with video-watching features, may attract individuals to spend considerable time, for those experiencing problematic use be termed problematic use of social media (PUSM) or problematic use of YouTube (PUY). Therefore, the present study investigated relationships between PUSM/PUY, psychological distress, and insomnia among the Iranian adolescents. Methods: An online survey comprising Bergen Social Media Addiction Scale, YouTube Addiction Scale, Depression, Anxiety, Stress-21 Scale, and Insomnia Severity Index recruited 1352 participants. Results: Results of Hayes' Process Macro showed significant correlations between the two types of problematic use and insomnia, with psychological distress as a mediator (unstandardized coefficient = 0.096 and 0.100). Conclusion: The findings implied the effect of psychological distress in mediating the relationships of PUSM and PUY to insomnia.

Indexed as

Addictive behaviorsinternet addictionpsychological distresssleepsocial mediaYouTube

Identifiers

PMID39347513
PMCPMC11428165

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.