Evidence map›Paper›PMID 40777218›Full record

ArticleFrontiers in psychology2025

Impact of social fairness perception on sense of social security in China's COVID-19 pandemic: the mediating role of political trust.

Jianwen Wang, Jingwen Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. 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

2 authors.

Jianwen WangSchool of International Relations and Public Affairs, Shanghai International Studies University, Shanghai, China.
Jingwen ZhangSchool of Languages and Cultures, Shanghai University of Political Science and Law, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Against the backdrop of the COVID-19 pandemic, emerging threats previously obscured were revealed and instilled a profound sense of insecurity across the globe. The exacerbation of unequal access to essential resources during the pandemic, particularly in rural-urban divides (e.g., healthcare infrastructure, economic relief distribution), has objectively contributed to a decline in individuals' perceptions of social security, with rural residents facing compounded vulnerabilities. Thus, an exploration of the interplay between the variables of social fairness perception and sense of social security is warranted to provide empirical evidence and guidance for improved social governance and policy formulation in response to future social challenges. Methods: This study, grounded in the data sourced from the 2021 China Social Survey (CSS 2021), utilizes the ordinal multivariate regression model within SPSS to conduct an in-depth exploration of the intrinsic relationship between social fairness and residents' perceptions of social security. Results: Through the application of hierarchical multivariate stepwise regression analysis, the study reveals that both opportunity fairness (β = 0.41, Discussion: The findings extend institutional trust theory by demonstrating that procedural equity (e.g., transparent policy implementation) reinforces governance legitimacy during crises. To mitigate disparities, policymakers should standardize urban-rural welfare systems to address unequal mediation pathways and institutionalize participatory equity audits in crisis governance frameworks. These measures operationalize the critical link between fairness perceptions and societal resilience.

Indexed as

COVID-19mediating effectpolitical trustsense of social securitysocial fairness perceptions

Identifiers

PMID40777218
PMCPMC12330290

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.