Evidence map›Paper›PMID 42780360›Full record

ArticleFrontiers in public health2026

Associations between social media exposure and COVID-19 preventive behaviors in post-zero-COVID China: a moderated mediation model of risk perception, fear, and mindfulness.

Ting Han, Miao Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ting HanSchool of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China.
Miao LiuSchool of Journalism and Communication, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In late 2022, the sudden termination of the "Zero-COVID" policy in China triggered a massive surge in infections and widespread public uncertainty. During this transition, social media served as the primary infrastructure for health communication. This study investigates the associations between social media and COVID-19 preventive behaviors, specifically examining the mediating roles of risk perception and fear, and the moderating influence of mindfulness. Objective: This study aims to investigate the psychological pathways linking social media exposure to COVID-19 preventive behaviors during the abrupt termination of China's "Zero-COVID" policy in late 2022. Specifically, the research examines the parallel mediating roles of cognitive risk perception and fear, while evaluating the potential of mindfulness as a self-regulatory resource to moderate the internal states and preventive health behaviors during a public health crisis. Methods: A cross-sectional online survey was conducted among 1,167 Chinese adults between December 21, 2022, and January 3, 2023-the peak period of the policy shift. Data were analyzed using the SPSS PROCESS macro. Mediation effects (Model 4) were tested for risk perception and fear, while a moderated mediation model (Model 14) was employed to evaluate whether mindfulness buffered the relationship between fear and preventive action. Results: This study found that social media exposure was positively associated with risk perception ( Conclusion: Social media exposure is indirectly associated with preventive actions through risk perception and fear. Notably, mindfulness serves as a critical boundary condition: the positive link between threat-induced fear and adaptive protective behaviors is statistically significant only for individuals with moderate-to-high mindfulness. This study highlights the importance of incorporating emotional regulation into public health communication. Rather than relying solely on fear-inducing information, future communication strategies should couple risk information with digital mindfulness resources to support public health compliance and mental well-being during post-policy transitions.

Indexed as

COVID-19FearHealth BehaviorMindfulnessSocial MediaAdultChinaCross-Sectional StudiesDigital MediaFemaleHumansMaleMedia ExposureMiddle AgedSurveys and QuestionnairesYoung AdultCOVID-19 preventive behaviorsfearmindfulnessrisk perceptionsocial media exposure

Identifiers

PMID42780360
PMCPMC13597834

What Socratic holds

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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 Socratic graph.