Evidence map›Paper›PMID 42714035›Full record

ArticleGM crops & food2026

scientific, social, ecological rationality and public attitudes toward genetically modified food in China: based on the survey of urban residents in three cities of China.

Hui Li, Zhenjing Pang, Tian Yu

Abstract read
In one paragraph

Article in GM crops & food, 2026. 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
–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

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

3 authors.

Hui LiChengdu Future Intelligent Manufacturing Industry Development Research Center, Chengdu Vocational & Technical College of Industry, Chengdu, China.
Zhenjing PangSchool of Public Administration, Sichuan University, Chengdu, China.ORCID 0000-0002-3407-2876
Tian YuChengdu Future Intelligent Manufacturing Industry Development Research Center, Chengdu Vocational & Technical College of Industry, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetically modified (GM) technology is crucial for global food security, but its acceptance is often constrained by public attitudes. This study investigates how three types of rationality (scientific, social, and ecological) are associated with attitudes toward GM food in China, and examines the mediating role of institutional trust. Based on questionnaire data from 1020 Chinese urban residents, structural equation modeling showed that scientific rationality was positively associated with perceived benefits but not with perceived risks. Social rationality was negatively associated with perceived benefits and positively with perceived risks. Ecological rationality was positively associated with perceived risks only. Institutional trust directly predicted public attitudes and mediated the relationships between rationality types and perceived benefits/risks. The indirect path from scientific rationality via trust and perceived risks was not significant, suggesting this group's positive attitudes stem from benefit-focused processing. The model explained 53.6% of attitude variance. Findings demonstrate that public attitudes are rooted in value orientations and channeled through institutional trust, offering implications for targeted communication, value dialogue, and trust‑building in food risk governance.

Indexed as

AttitudeFood, Genetically ModifiedPublic OpinionAdultChinaCitiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesTrustUrban PopulationYoung AdultEcological rationalityGM foodinstitutional trustpublic attitudesscientific rationalitysocial rationality

Identifiers

PMID42714035
PMCPMC13568586

What OpenQuestion holds

Textmetadata
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.