Evidence map›Paper›PMID 39695274›Full record

ArticleScientific reports2024

Media dependency, platform-swinging, and psychological depression among young college students in the polymedia environment.

Jian Wangqu, Zelin Xue, Linlin Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

3 authors.

Jian WangquUniversity of Shanghai for Science and Technology, Shanghai, 200093, China.ORCID 0000-0002-1521-1914
Zelin XueInstitute of Politics and Public Administration, Shanghai Academy of Social Sciences, Shanghai, 200020, China. xuezelin@126.com.ORCID 0000-0002-8351-9363
Linlin ChenUniversity of Shanghai for Science and Technology, Shanghai, 200093, China.ORCID 0009-0005-5790-2712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a comprehensive and affordable environment, polymedia lays the groundwork for exploring platform-swinging and offers a theoretical framework for investigating its dynamics. Platform-swinging and its unique niche characteristics provide a novel lens to examine the interplay between media dependency and psychological well-being. Using a survey questionnaire, this study collected data from 1210 university students in the Yangtze River Delta, China's most economically developed region, to examine the relationship between media dependency, platform-swinging, and psychological depression. Our findings suggest that the affordances of platform-swinging influence media dependency, whereas the nature of media dependency shapes psychological depression. This study contributes to a deeper understanding of how young adults navigate various media platforms and sheds light on the complex interrelations between media use and mental health. Focusing on platform-swinging in the environment of polymedia explores the relationship between media dependency, platform-swinging, and psychological depression. Moreover, it also compensates for the one-sided understanding caused by simply examining media dependency and psychological depression. This study has practical value and theoretical significance for the psychological health of college students and the research and development of the media dependency theory.

Indexed as

DepressionStudentsAdolescentAdultChinaFemaleHumansMaleMental HealthSurveys and QuestionnairesUniversitiesYoung AdultMedia dependencyPlatform-swingingPolymediaPsychological depression

Identifiers

PMID39695274
PMCPMC11655535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.