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Related Concept Videos

Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...

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Perceived Risk of Genetically Modified Foods Among Residents in Xi'an, China: A Structural Equation Modeling

Wenjing Zhang1,2, Jianhong Xue3, Henk Folmer4

  • 1Department of Agricultural Economics, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China. zhangwj1105@126.com.

International Journal of Environmental Research and Public Health
|February 21, 2019
PubMed
Summary

Consumers perceive genetically modified (GM) foods as a health risk, particularly males, older individuals, and those with higher income or education. Clear risk communication is vital for understanding GM food safety.

Keywords:
Chinagenetically-modified foodperceived risksstructural equation modeling

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Area of Science:

  • Agricultural Science
  • Consumer Behavior
  • Risk Perception

Background:

  • Genetically modified (GM) foods are increasingly prevalent globally.
  • Consumer perception of GM food health risks remains a significant concern.
  • Understanding the factors influencing these perceptions is crucial for public acceptance.

Purpose of the Study:

  • To investigate the determinants of consumers' perceived health risks associated with GM foods.
  • To analyze the relationship between demographic factors and GM food risk perception.
  • To inform effective risk communication strategies for GM foods.

Main Methods:

  • Structural equation modeling (SEM) was employed.
  • A cross-sectional dataset of 508 consumers from Xi'an, China was utilized.
  • Statistical analysis identified key influencing factors on risk perception.

Main Results:

  • A high proportion of consumers perceive GM foods as a potential health threat.
  • Perceived risk is higher among males, older individuals, and those with higher income and education.
  • Having family members requiring special care also correlates with higher perceived risk.

Conclusions:

  • Demographic and socioeconomic factors significantly shape consumer risk perception of GM foods.
  • Targeted risk communication strategies are essential to address specific consumer segments.
  • Providing accurate scientific information can enhance understanding of GM food safety and risks.