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
AbstractThis 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.
|Journal series||International Journal of Food Sciences and Nutrition, ISSN 0963-7486, e-ISSN 1465-3478, (N/A 70 pkt)|
|Publication size in sheets||0.65|
|Keywords in English||Food choice; healthy diet; neuronal modelling; crosscultural survey|
|Score||= 70.0, 15-09-2020, ArticleFromJournal|
|Publication indicators||= 1; = 1; : 2018 = 0.756; : 2018 = 2.792 (2) - 2018=2.656 (5)|
|Citation count*||1 (2020-09-11)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.