CIAMP

Link to this page

CIAMP

Authors

Publications

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

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

(Taylor & Francis Ltd, Abingdon, 2020)

TY  - 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 . .
11
3
9

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

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

(Taylor & Francis Ltd, Abingdon, 2020)

TY  - 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/123456789/5357
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 . .
11
3
9