Evidence map›Paper›PMID 40294901›Full record

ArticleJournal of medical Internet research2025

Social Media Activities With Different Content Characteristics and Adolescent Mental Health: Cross-Sectional Survey Study.

Chia-Chen Yang, Paul Hunhoff, Yen Lee, Jonah Abrell

Abstract read
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Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

4 authors.

Chia-Chen YangSchool of Educational Foundations, Leadership and Aviation, Oklahoma State University, Stillwater, OK, United States.ORCID https://orcid.org/0000-0002-8207-5211
Paul HunhoffSchool of Educational Foundations, Leadership and Aviation, Oklahoma State University, Stillwater, OK, United States.ORCID https://orcid.org/0009-0003-8192-6373
Yen LeeDepartment of Health Professions Education, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.ORCID https://orcid.org/0000-0002-6781-9729
Jonah AbrellSchool of Community Health Sciences, Counseling and Counseling Psychology, Oklahoma State University, Stillwater, OK, United States.ORCID https://orcid.org/0009-0002-0691-1457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescent mental health concerns are rising in the United States, with social media often cited as a contributing factor, although research findings remain mixed. A key limitation is the simplistic view of social media use, which fails to consistently predict well-being. Scholars call for a more nuanced framework and a better understanding of how social media use influences adolescent mental health through various psychosocial mechanisms.

objectiveUsing the Multidimensional Model of Social Media Use, we explored how 4 activities with various content characteristics (intimate directed communication, intimate broadcasting, positive broadcasting, and positive content consumption) are associated with depression and anxiety through 3 psychosocial mediators: social support, approval anxiety, and social comparison.

methodsCross-sectional survey data were collected through Qualtrics' panel service from a sample of adolescents whose gender and racial or ethnic distributions were nationally representative (N=2105; mean age 15.39, SD 1.82 years). Participants passed attention checks to ensure data validity. Measures included 9 validated scales (Cronbach α=0.83-0.91): 4 social media activities (intimate directed communication, intimate broadcasting, positive broadcasting, and positive content consumption), 3 mediators (social support, approval anxiety, and social comparison), and 2 mental health outcomes (depression and anxiety). Using Mplus, we performed 2-step structural equation modeling. Confirmatory factor analysis established scale validity, and path analysis tested the hypothesized and exploratory associations between social media activities, mediators, and mental health, controlling for demographic covariates and the amount of phone use. Model fit criteria (comparative fit index and Tucker-Lewis index were close to or greater than 0.95; root mean square error of approximation was less than 0.08) were met. Significance was determined using a false discovery rate control, with the familywise type 1 error rate set at 0.05.

resultsOur findings showed that positive broadcasting was associated with lower depression (β=-.14; P<.001) and anxiety (β=-.06; P=.03), mainly through the direct paths. The other 3 activities were related to more mental health problems. Specifically, intimate directed communication was associated with greater depression (β=.06; P=.03) and anxiety (β=.06; P=.04); intimate broadcasting was associated with greater anxiety (β=.07; P=.02); and positive content consumption was related to higher depression (β=.13; P<.001). Approval anxiety or social comparison played a salient role in these total effects.

conclusionsThe findings highlight the importance of distinguishing social media activities when assessing risks and benefits. Intimate directed communication, intimate broadcasting, and positive content consumption became risk factors for increased anxiety and depression through approval anxiety, social comparison, or both. Positive broadcasting was related to better mental health because of its direct associations with lower depression and anxiety.

Indexed as

Mental HealthSocial MediaAdolescentAnxietyCross-Sectional StudiesDepressionFemaleHumansMaleSocial SupportSurveys and QuestionnairesUnited Statesadolescenceanxietyapproval anxietydepressionsocial comparisonsocial mediasocial support

Identifiers

PMID40294901
PMCPMC12070011

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LicenceCC BY
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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.