Evidence map›Paper›PMID 34063370›Full record

ArticleInternational journal of environmental research and public health2021

An Experimental Evidence on Public Acceptance of Genetically Modified Food through Advertisement Framing on Health and Environmental Benefits, Objective Knowledge, and Risk Reduction.

Syed Hassan Raza, Umer Zaman, Paulo Ferreira, Pablo Farías

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. From Mind to Mouth: Understanding Active Publics in China and Their Communicative Behaviors on GM Foods.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors.

Syed Hassan RazaDepartment of Communication Studies, Bahauddin Zakariya University, Multan 66000, Pakistan.ORCID 0000-0002-1318-7818
Umer ZamanEndicott College of International Studies, Woosong University, Daejeon 34606, Korea.ORCID 0000-0002-3729-3543
Paulo FerreiraVALORIZA-Research Center for Endogenous Resource Valorization, 7300-555 Portalegre, Portugal.ORCID 0000-0003-1951-889X
Pablo FaríasDepartamento de Administración, Facultad de Economía y Negocios, Universidad de Chile, Santiago 8330015, Chile.ORCID 0000-0001-6083-7492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the emerging challenges on global food security and the decade of controversies over genetically modified food (hereafter GMF), the present study aims to explore the effects of advertisement framing on health and environmental benefits, sources of perceived risk reduction, and domain-specific knowledge on the acceptance of GMF. The study conducted a quasi-experimental factorial 2 (advertisement message framing: health vs. environmental benefits) × 2 (expert endorsement: present vs. absent) between-subject design involving 300 adult participants from Pakistan. Using a multi-group structural equation model, the four conditions were assigned to each participant group (

Indexed as

AdvertisingFood, Genetically ModifiedAdultHealth PromotionHumansKnowledgePakistanRisk Reduction Behavioracceptanceadvertisementattitudecognitive miser theoryfood innovationfood securitygenetically modified foodknowledgemessage framingperceived riskscience literacy model

Identifiers

PMID34063370
PMCPMC8156498

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.