Evidence map›Paper›PMID 40510191›Full record

ArticleDigital health

Understanding cancer information-scanning behavior on WeChat among young Chinese adults: Applying a modified comprehensive model of information seeking.

QianYing Ma, Jen-Sern Tham, Rosmiza Bidin, Sharifah Sofiah Syed Zainudin

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

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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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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

4 authors.

QianYing MaDepartment of Communication, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Selangor, Malaysia.ORCID https://orcid.org/0009-0005-6009-6395
Jen-Sern ThamDepartment of Communication, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-5360-2959
Rosmiza BidinDepartment of Communication, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-5723-0005
Sharifah Sofiah Syed ZainudinDepartment of Communication, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-4589-6176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Given the increasing incidence of cancer among younger populations and the prominent role of WeChat in health information acquisition, young Chinese adults are more likely to encounter and engage with cancer-related information on WeChat. However, limited empirical research has examined the motivations behind young adults'-cancer information-scanning behavior (CISB) on this platform. This study aims to address this gap by applying the Comprehensive Model of Information Seeking (CMIS) to identify the key predictors of CISB among young Chinese adults. Methods: An online cross-sectional survey was conducted on WeChat from October 14 to October 24, 2023, targeting young Chinese adults ages 18-44. Using convenience and snowball sampling methods, a total of 1484 valid responses were collected. Results: Structural equation modeling (SEM) indicated that perceived susceptibility, WeChat self-efficacy, and perceived credibility directly predicted perceived utility, whereas perceived severity did not. Additionally, both perceived credibility and perceived utility significantly predicted CISB on WeChat. Mediation analysis employing PROCESS Macro revealed that perceived utility mediated the relationships between health-related factors (i.e., perceived susceptibility, severity, and WeChat self-efficacy) and CISB on WeChat. Conclusions: The findings highlight the mediating and enhancing role of perceived utility and extend CMIS applicability in the context of CISB on WeChat. These findings provide practical implications for policymakers and health professionals to create more effective cancer communication strategies.

Indexed as

Cancer information scanningcomprehensive model of information seeking (CMIS)perceived severityperceived susceptibilityweChat self-efficacy

Identifiers

PMID40510191
PMCPMC12159481

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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.