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

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.

Keywords:

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

Disclosure statement

The authors report no conflict of interest.

Additional information

Funding

This work was prepared in the ambit of the multinational project EATMOT from CI&DETS Research Centre (Polytechnic Institute of Viseu, Portugal) with reference PROJ/CI&DETS/CGD/0012, co-financed by Caixa Geral de Depósitos.