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Proposal and Validation of a Measurement Scale of the Acceptance of Ultra-Processed Food Products.

Cristina Calvo-PorralSergio RivaroliJavier Orosa-González
Published in: Foods (Basel, Switzerland) (2024)
Today, there is an increasing consumption of ultra-processed food products (UPFs), while more healthy options are available; however, there is no scale available that can adequately measure this phenomenon. In this context, the present study aims to develop and validate a measurement scale of the consumers' acceptance of ultra-processed food products. Research data ( n = 478) were analyzed using Exploratory Factor Analysis (EFA), followed by a Confirmatory Factor Analysis (CFA). The results confirm the validity of the proposed measurement scale comprising nine factors: the quality of ultra-processed food products, ability to save time, low affordable price, effortless preparation, convenience, hedonic nature, marketing strategies, satisfaction and purchase intention. The present study makes a noticeable contribution to food marketing, and food companies could consider these factors to design and commercialize ultra-processed foods.
Keyphrases
  • high resolution
  • human health
  • risk assessment
  • machine learning
  • big data
  • quality improvement
  • artificial intelligence
  • data analysis