Evidence map›Paper›PMID 42126332›Full record

ArticleGM crops & food2026

Trust and doubt coexist: an empirical study on the acceptance mechanism of transgenic technology among Chinese youth.

Cong Qu, Yu Pang, Zixi Wu

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.

Cong QuInstitute of Dual Carbon Industry, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China.
Yu PangResearch Center for Chinese Politics, School of Government, Peking University, Beijing, China.ORCID 0009-0005-2024-1500
Zixi WuSchool of Business Administration, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a scientific issue characterized by both controversy and sensitivity to public risk, genetically modified (GM) technology has become an important entry point for understanding contemporary science communication through its dissemination and acceptance among young people. This study takes 25 Chinese youth aged 19-27 as its research participants, collects data through semi-structured in-depth interviews, and analyzes the process of attitude formation by applying grounded theory through open coding, axial coding, and selective coding. The findings show that young people usually take government announcements, expert interpretations, and mainstream media reports as their initial points of reference, while also conducting cross-source verification through social media, peer discussion, and personal experience, thereby displaying the coexistence of authoritative dependence and rational skepticism. On this basis, respondents did not generally develop attitudes of absolute support or outright rejection, but instead showed a tendency toward limited acceptance with conditional reservations. Further analysis indicates that accumulated socialization experiences and institutional trust give a certain degree of continuity to such judgments in subsequent encounters with information. On this basis, this article proposes an interpretive framework of authoritative dependence - rational skepticism - balance effect - trust inertia. The findings presented here constitute an interpretive understanding of the logic of attitude formation within a specific sample, rather than a population-level generalization.

Indexed as

AttitudeTrustAdultChinaFemaleHumansMaleYoung AdultAuthoritative dependencebalance effectChinese youthgenetically modified technologyrational skepticismtrust inertia

Identifiers

PMID42126332
PMCPMC13174000

What OpenQuestion holds

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LicenceCC BY-NC
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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.