Influence of sociodemographic factors on eating motivations - modelling through artificial neural networks (ANN)
Authors
Guine, Raquel P.F.Ferrao, Ana Cristina
Ferreira, Manuela
Correia, Paula
Mendes, Mateus

Bartkiene, Elena

Szucs, Viktoria
Tarcea, Monica

Matek-Sarić, Marijana

Cernelić-Bizjak, Masa
Isoldi, Kathy

EL-Kenawy, Ayman
Ferreira, Vanessa
Klava, Dace
Korzeniowska, Malgorzata

Vittadini, Elena

Leal, Marcela
Frez-Munoz, Lucia
Papageorgiou, Maria

Đekić, Ilija

Article (Accepted Version)
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Show full item recordAbstract
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 comme...rcial motivations.
Keywords:
Food choice / healthy diet / neuronal modelling / cross-cultural surveySource:
International Journal of Food Sciences and Nutrition, 2020, 71, 5, 614-627Publisher:
- Taylor & Francis Ltd, Abingdon
Funding / projects:
- CIAMP
- DETS Research Centre (Polytechnic Institute of Viseu, Portugal) [DETS/CGD/0012]
- Caixa Geral de Depositos
Note:
- 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.
Related info:
DOI: 10.1080/09637486.2019.1695758
ISSN: 0963-7486
PubMed: 31771374
WoS: 000498781800001
Scopus: 2-s2.0-85075738373
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Poljoprivredni fakultetTY - JOUR AU - Guine, Raquel P.F. AU - Ferrao, Ana Cristina AU - Ferreira, Manuela AU - Correia, Paula AU - Mendes, Mateus AU - Bartkiene, Elena AU - Szucs, Viktoria AU - Tarcea, Monica AU - Matek-Sarić, Marijana AU - Cernelić-Bizjak, Masa AU - Isoldi, Kathy AU - EL-Kenawy, Ayman AU - Ferreira, Vanessa AU - Klava, Dace AU - Korzeniowska, Malgorzata AU - Vittadini, Elena AU - Leal, Marcela AU - Frez-Munoz, Lucia AU - Papageorgiou, Maria AU - Đekić, Ilija PY - 2020 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/6065 AB - 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. PB - Taylor & Francis Ltd, Abingdon T2 - International Journal of Food Sciences and Nutrition T1 - Influence of sociodemographic factors on eating motivations - modelling through artificial neural networks (ANN) EP - 627 IS - 5 SP - 614 VL - 71 DO - 10.1080/09637486.2019.1695758 ER -
@article{ author = "Guine, Raquel P.F. and Ferrao, Ana Cristina and Ferreira, Manuela and Correia, Paula and Mendes, Mateus and Bartkiene, Elena and Szucs, Viktoria and Tarcea, Monica and Matek-Sarić, Marijana and Cernelić-Bizjak, Masa and Isoldi, Kathy and EL-Kenawy, Ayman and Ferreira, Vanessa and Klava, Dace and Korzeniowska, Malgorzata and Vittadini, Elena and Leal, Marcela and Frez-Munoz, Lucia and Papageorgiou, Maria and Đekić, Ilija", year = "2020", 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.", publisher = "Taylor & Francis Ltd, Abingdon", journal = "International Journal of Food Sciences and Nutrition", title = "Influence of sociodemographic factors on eating motivations - modelling through artificial neural networks (ANN)", pages = "627-614", number = "5", volume = "71", doi = "10.1080/09637486.2019.1695758" }
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.,& Đekić, I.. (2020). Influence of sociodemographic factors on eating motivations - modelling through artificial neural networks (ANN). in International Journal of Food Sciences and Nutrition Taylor & Francis Ltd, Abingdon., 71(5), 614-627. https://doi.org/10.1080/09637486.2019.1695758
Guine RP, Ferrao AC, 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, Đekić I. Influence of sociodemographic factors on eating motivations - modelling through artificial neural networks (ANN). in International Journal of Food Sciences and Nutrition. 2020;71(5):614-627. doi:10.1080/09637486.2019.1695758 .
Guine, Raquel P.F., Ferrao, Ana Cristina, Ferreira, Manuela, Correia, Paula, Mendes, Mateus, Bartkiene, Elena, Szucs, Viktoria, Tarcea, Monica, Matek-Sarić, Marijana, Cernelić-Bizjak, Masa, Isoldi, Kathy, EL-Kenawy, Ayman, Ferreira, Vanessa, Klava, Dace, Korzeniowska, Malgorzata, Vittadini, Elena, Leal, Marcela, Frez-Munoz, Lucia, Papageorgiou, Maria, Đekić, Ilija, "Influence of sociodemographic factors on eating motivations - modelling through artificial neural networks (ANN)" in International Journal of Food Sciences and Nutrition, 71, no. 5 (2020):614-627, https://doi.org/10.1080/09637486.2019.1695758 . .