Evidence map›Paper›PMID 37095965›Full record

ArticleHeliyon2023

Behavior toward on-farm food safety: Commercial and exporter pistachio growers.

Amirreza Rezaei, Hamid Karimi, Pouria Ataei

Abstract read
In one paragraph

Article in Heliyon, 2023. 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.

Amirreza RezaeiDepartment of Agricultural Extension and Education, College of Agriculture & Natural Resources, University of Tehran, Tehran, Iran.
Hamid KarimiDepartment of Agricultural Extension and Education, Faculty of Agriculture, University of Zabol, Zabol, Iran.
Pouria AtaeiDepartment of Agricultural Extension and Education, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumers' demand for high-degree food safety obliges the producers to respect health principles and enhance their product quality in the manufacturing process. Food safety refers to the conditions and practices that preserve food quality in order to prevent contamination and foodborne illnesses. This study aimed to investigate farmers' behavior toward on-farm food safety in Iran. So a survey study was conducted on the research population composed of commercial and exporter pistachio growers in Iran of whom 120 were selected. This paper reports the results of this exploratory study to conceptualize the measurement of pistachio growers' farm food safety using the theory of planned behavior. Structural equation modeling (partial least squares) was used to draw the research models and the relationships between latent variables and indicators. The findings revealed a statistically significant relationship between intention and self-efficacy. The intention is one of the most important variables in determining the planned behavior that has the greatest impact on behavior. Future research on this topic is recommended to use more variables that affect farmers' decision-making processes to form a strong opinion in predicting their behavior. It is crucial to consider some effective interventions such as providing large-scale training and community awareness programs for pistachio growers, particularly with the help of mass media, adopting suitable policy-making for on-farm food safety, and specifically supporting pistachio growers for the implementation of GAP-related practices.

Indexed as

Farmer healthFood securityHealthy foodPistachio farmersTheory of planned behavior

Identifiers

PMID37095965
PMCPMC10122025

What OpenQuestion holds

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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.