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Food consumption involves several dimensions, being some of them directly associated with the consumers' characteristics. The interrelationships between these domains impact consumer behaviour for food choice and the consequent decisions for food consumption. In these frameworks, economic motivations are determinant. On the other hand, the scientific literature highlights that the economic-based stimuli to choose food is still underexplored. In this perspective, the objective of this study was to assess the main sociodemographic and anthropometric determinants of the economic motivations for food choice. For that, a questionnaire survey was carried out involving 11,919 respondents from 16 countries. A validated questionnaire was used, translated into the native languages in all participating countries, using a back-translation process. First, the information obtained was assessed through factor analysis to reduce the number of variables associated with the economic motivations and to identify indexes. After, and considering the indexes obtained as dependent variables, a classification and regression tree analysis was performed. As main insights, it is highlighted that the main determinants of the economic motivations are country of residence, age, gender, civil state, professional activity, educational level, living environment, responsibility for buying food, weight, height, body mass index, healthy diets and physical exercise practices. Additionally, the results also reveal that economic motivations may be associated with two indexes, one related to convenience attitudes and the other to quality concerns. Finally, the younger persons and the women are the social groups more concerned with healthy diets and food quality. In conclusion, this work confirmed that food choice is to a high extent influenced by several sociodemographic and behavioural factors.

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.