Influence of sociodemographic factors on eating motivations–modelling through artificial neural networks (ANN)

Raquel P.F. Guiné*, Ana Cristina Ferrão, Manuela Ferreira, Paula Correia, Mateus Mendes, Elena Bartkiene, Viktória Szűcs, Monica Tarcea, Marijana Matek Sarić, Maša Černelič-Bizjak, Kathy Isoldi, Ayman EL-Kenawy, Vanessa Ferreira, Dace Klava, Małgorzata Korzeniowska, Elena Vittadini, Marcela Leal, Lucia Frez-Muñoz, Maria Papageorgiou, Ilija Djekić

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

This study aimed at investigating the influence of some sociodemographic factors on the eating motivations. A longitudinal study was carried conducted with 11960 participants from 16 countries. Data analysis included t-test for independent samples or ANOVA, and neural network models were also created, to relate the input and output variables. Results showed that factors like age, marital status, country, living environment, level of education or professional area significantly influenced all of the studied types of eating motivations. Neural networks modelling indicated variability in the food choices, but identifying some trends, for example the strongest positive factor determining health motivations was age, while for emotional motivations was living environment, and for economic and availability motivations was gender. On the other hand, country revealed a high positive influence for the social and cultural as well as for environmental and political and also for marketing and commercial motivations.

Original languageEnglish
Pages (from-to)614-627
JournalInternational Journal of Food Sciences and Nutrition
Volume71
Issue number5
Early online date26 Nov 2019
DOIs
Publication statusPublished - May 2020

Keywords

  • cross-cultural survey
  • Food choice
  • healthy diet
  • neuronal modelling

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