Evidence map›Paper›PMID 40980601›Full record

ArticleFrontiers in genome editing2025

The decision to purchase genome edited food products by Iranian consumers: theory of planned behavior as a social intervention tool.

Naser Valizadeh, Shobeir Karami

Abstract read
In one paragraph

Article in Frontiers in genome editing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Naser ValizadehDepartment of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz, Iran.
Shobeir KaramiPersian Gulf Research Institute, Persian Gulf University, Bushehr, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main aim of present study was to analyze the consumers' preferences about genome/gene-edited food products in Iran. For this purpose, an extended version of the theory of planned behavior was used as a social intervention tool. The theory of planned behavior was firstly extended using the introduction and new variable of trust in gene-edited products and perceived benefits of gene-edited food products, but in the next step, it was also analyzed statistically. To achieve the main objective of the research, a representative sample was selected from the population of purchasers of gene-edited products, and data were collected using a cross-sectional survey. The validity and reliability of the data collection tool was evaluated and confirmed using different quantitative and qualitative methods in the pilot stages and after the main survey. The results of structural equation modeling showed that the attitude towards gene-edited food products, perceived behavioral control, and the subjective norms of gene-edited products had positive and significant effects on the intention to purchase these products. The results of the study indicated that two newly introduced variables to the theory of planned behavior, namely, trust in gene-edited products and the perceived benefits of gene-edited products also had positive and significant effects on the intention to purchase these products. Based on the results, the framework employed and extended in this study can provide the basis for effective interventions to improve consumers' preference for gene-edited food products. Also, some practical suggestions were provided for policymakers, managers, and producers of these products.

Indexed as

attitude towards gene-edited productsbehavioral interventionsconsumers’ preferencetrust in gene-edited productswillingness to buy

Identifiers

PMID40980601
PMCPMC12443678

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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.