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

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.This is the peer-reviewed version of the following article: Guine, R. P. F.; Ferrao, A. C.; Ferreira, M.; Correia, P.; Mendes, M.; Bartkiene, E.; Szucs, V.; Tarcea, M.; Matek-Sarić, M.; Cernelić-Bizjak, M.; Isoldi, K.; EL-Kenawy, A.; Ferreira, V.; Klava, D.; Korzeniowska, M.; Vittadini, E.; Leal, M.; Frez-Munoz, L.; Papageorgiou, M.; Djekić, I. Influence of Sociodemographic Factors on Eating Motivations - Modelling through Artificial Neural Networks (ANN). International Journal of Food Sciences and Nutrition 2020, 71 (5), 614–627. [https://doi.org/10.1080/09637486.2019.1695758]

Study about Food Choice Determinants According to Six Types of Conditioning Motivations in a Sample of 11,960 Participants

Many aspects linked to personal characteristics, society and culture constitute some of the motivators that drive food choice. The aim of this work was to determine in what extent the eating behaviors of individuals are shaped by six different types of determinants, namely: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials. This is a descriptive cross-sectional study, involving a non-probabilistic sample of 11,960 participants from 16 countries. The objective of this work was to validate the questionnaire, so as to make it suitable for application in different contexts and different countries. For that, six scales were considered for validation by confirmatory factor analysis with structural equation modelling. The obtained results showed that the six individual scales evaluated presented good or very good fitting indices, with saturation in goodness-of-fit index in all cases. The values of chi-square ratio were 6.921 (for health), 0.987 (environment), 0.610 (emotions) and 0.000 in the remaining cases (convenience, society, marketing). Furthermore, the fit was perfect, with saturation for all indices, in three of the six models (convenience, society and marketing). The results of this wok allowed the validation of the six scales, and the assessing of different types of factors that can influence food choices and eating behaviors, namely in the categories: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials