Evidence map›Paper›PMID 41567418›Full record

ArticleDigital health

Promoting mental health help-seeking through interactive mobile-based narratives: Effectiveness of a depression prevention program among college students.

Yijing Li, Xiao Zhang, Yu Guo

Abstract read
In one paragraph

Article in Digital health. 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.

Yijing LiFaculty of Humanities and Arts, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0009-0005-7192-1266
Xiao ZhangDepartment of Journalism and Communication, Hong Kong Shue Yan University, Hong Kong SAR, China.
Yu GuoFaculty of Humanities and Arts, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0000-0003-0091-6126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: College students are facing a growing prevalence of mental health challenges, while they frequently face obstacles in seeking professional help. Drawing upon the agency model in the theory of interactive media effects (TIME) and the transportation-imagery model, this study presents an extended framework to investigate how interface features enhance the persuasive potential of health narratives, thereby improving intentions to seek professional help for depression among Chinese college students. Method: The present study employs a 2 (customization: with versus without) × 2 (interactivity: high versus low) factorial experiment ( Results: SEM results indicated that both customization and high interactivity increased the sense of agency. Regarding the interaction effect, the further ANOVA results revealed that the effect of interactivity on enhancing the sense of agency is more pronounced for participants in the non-customization condition, compared to those in the customization conditions. Additionally, sense of agency was positively associated with transportation. As predicted, transportation motivated the emotional shifts, which then positively predicted the users' intentions to seek professional help for depression. Furthermore, the mediation analysis indicated that the effect of customization on users' intentions to seek professional help was mediated by sense of agency, transportation, and emotional shifts. Conclusion: The interface features demonstrate potential in improving the persuasiveness of health narratives, thereby fostering greater willingness to seek professional help.

Indexed as

Customizationdepressionemotional shiftshealth narrativesinteractivitytransportation

Identifiers

PMID41567418
PMCPMC12816514

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.