Influence of sociodemographic factors on eating motivations – modelling through artificial neural networks (ANN)
| Autor: | Vanessa Alves Ferreira, Elena Vittadini, Marcela Leal, Monica Tarcea, Dace Klava, Ayman El-Meghawry El-Kenawy, Ilija Djekic, Mateus Mendes, Małgorzata Korzeniowska, Paula Correia, Ana Cristina Ferrão, Raquel Guiné, Maša Černelič-Bizjak, Marijana Matek Sarić, Kathy K. Isoldi, Lucia Frez-Muñoz, Viktória Szűcs, Maria Papageorgiou, Manuela Ferreira, Elena Bartkiene |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Adult Male Longitudinal study cross- cultural survey Adolescent Living environment Emotions Health Behavior Food choice healthy diet 030209 endocrinology & metabolism food choice cross-cultural survey Environment Social Environment Developmental psychology 03 medical and health sciences Food Preferences Young Adult 0302 clinical medicine Sex Factors Independent samples Ethnicity Food choice healthy diet neuronal modelling cross-cultural survey neuronal modelling Humans Aged Marketing Motivation 030109 nutrition & dietetics Artificial neural network Age Factors Middle Aged Healthy diet Diet Food Quality and Design Socioeconomic Factors Marital status Female Neural Networks Computer Psychology Food Science |
| Zdroj: | International Journal of Food Sciences and Nutrition 71 (2020) 5 Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP International Journal of Food Sciences and Nutrition International Journal of Food Sciences and Nutrition, 71(5), 614-627 |
| ISSN: | 0963-7486 |
| Popis: | 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]. |
| Databáze: | OpenAIRE |
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