Evidence map›Paper›PMID 41426701›Full record

ArticleFrontiers in public health2025

Risk-driven or authority-based? Unraveling public policy compliance during the pandemic in China.

Hua Zhang, Chunyan Luo, Cheng Yang, Yanyan Ouyang, Xiuxian Deng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

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

5 authors.

Hua ZhangSchool of Politics and Public Administration, Guangxi Minzu University, Nanning, China.
Chunyan LuoSchool of Politics and Public Administration, Guangxi Minzu University, Nanning, China.
Cheng YangSchool of Public Policy and Management, Guangxi University, Nanning, China.
Yanyan OuyangSchool of Politics and Public Administration, Guangxi Minzu University, Nanning, China.
Xiuxian DengSchool of Government, Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current research on pandemic compliance behavior primarily focuses on two motivational theories: normative and calculative motivations. Our study examines both by looking at public respect for authority and fear of infection risk to understand health policy compliance during COVID-19 in China. Methods: We conducted a survey with 2,305 Chinese citizens, using authority value and risk perception as independent variables, compliance behavior as the dependent variable, and government trust and professional trust as mediators. Structural equation modeling was employed to test the hypotheses. Results: Our study finds that, in terms of direct effects, both authoritarian values and risk perception are positively associated with compliance behavior among the Chinese public, with the effect of authoritarian values being stronger. Government and professional trust enhance the impact of authority value on compliance (trust enhancement) but weaken the impact of risk perception (trust paradox). Conclusion: From the perspective of normative and calculative motivations, compared with the calculative motivation based on individual risk perception, the normative motivation represented by authoritarian values demonstrates a stronger tendency toward policy cooperation, and the public is more likely to comply with public health policies when driven by this motivation. Trust in government and medical experts is crucial for health compliance behavior.

Indexed as

COVID-19Health PolicyPandemicsPublic PolicyAdultAuthoritarianismChinaFemaleHumansMaleMiddle AgedMotivationSARS-CoV-2Surveys and QuestionnairesTrustYoung Adultauthoritarian valuescompliance behaviorgovernment trustprofessional trustrisk perception

Identifiers

PMID41426701
PMCPMC12711842

What OpenQuestion 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 OpenQuestion graph.