Analysis of the Impact on Mexican Consumers of the New Precautionary Legends in Processed Foods with Excess Nutriments

Mariel Garcia-Hernandez, Fabiola Cortes-Chavez, Marco Antonio Marín Álvarez, Alberto Rossa-Sierra, Elvia Luz Gonzalez Muñoz, Brenda Denisse Rivero Orozco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In Mexico, processed foods usually contain critical nutrients and ingredients that represent a risk to consumer health, which is why, on October 1, 2020, modifications were made to the Official Mexican Standard NOM-051-SCFI/SSA1-20101, which aims to provide the final consumer with commercial and health information on caffeine content, excess saturated fat, sodium, sugars, calories and/or use of sweeteners. The objective of this research is to determine the deterrent effect on consumption that the new precautionary legends established by this standard may have in prepackaged foods that have excess sugar, fats, transgenic fats, sodium and/or calories in young Mexican consumers between 19 and 31 years old. Likewise, it will be analyzed whether the knowledge of the presence of these critical nutrients in processed foods will have any influence on their future consumption habits of this type of food.
Original languageEnglish
Title of host publicationAdvances in Creativity, Innovation, Entrepreneurship and Communication of Design - Proceedings of the AHFE 2021 Virtual Conferences on Creativity, Innovation and Entrepreneurship, and Human Factors in Communication of Design, 2021
EditorsEvangelos Markopoulos, Ravindra S. Goonetilleke, Amic G. Ho, Yan Luximon
PublisherSpringer Nature
Pages580-587
Number of pages8
Volume276
ISBN (Print)978-3-030-80093-2
DOIs
Publication statusPublished - 2021
Externally publishedYes

Publication series

NameLecture Notes in Networks and Systems
Volume276
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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