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 . .

TY  - JOUR
AU  - Guine, Raquel P.F.
AU  - Bartkiene, Elena
AU  - Szucs, Viktoria
AU  - Tarcea, Monica
AU  - Ljubicić, Marija
AU  - Cernelić-Bizjak, Masa
AU  - Isoldi, Kathy
AU  - EL-Kenawy, Ayman
AU  - Ferreira, Vanessa
AU  - Straumite, Evita
AU  - Korzeniowska, Malgorzata
AU  - Vittadini, Elena
AU  - Leal, Marcela
AU  - Frez-Munoz, Lucia
AU  - Papageorgiou, Maria
AU  - Đekić, Ilija
AU  - Ferreira, Manuela
AU  - Correia, Paula
AU  - Cardoso, Ana Paula
AU  - Duarte, Joao
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5251
AB  - Many aspects linked to personal characteristics, society and culture constitute some of the motivators that drive food choice. The aim of this work was to determine in what extent the eating behaviors of individuals are shaped by six different types of determinants, namely: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials. This is a descriptive cross-sectional study, involving a non-probabilistic sample of 11,960 participants from 16 countries. The objective of this work was to validate the questionnaire, so as to make it suitable for application in different contexts and different countries. For that, six scales were considered for validation by confirmatory factor analysis with structural equation modelling. The obtained results showed that the six individual scales evaluated presented good or very good fitting indices, with saturation in goodness-of-fit index in all cases. The values of chi-square ratio were 6.921 (for health), 0.987 (environment), 0.610 (emotions) and 0.000 in the remaining cases (convenience, society, marketing). Furthermore, the fit was perfect, with saturation for all indices, in three of the six models (convenience, society and marketing). The results of this wok allowed the validation of the six scales, and the assessing of different types of factors that can influence food choices and eating behaviors, namely in the categories: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials.
PB  - MDPI, BASEL
T2  - Foods
T1  - Study about Food Choice Determinants According to Six Types of Conditioning Motivations in a Sample of 11,960 Participants
IS  - 7
VL  - 9
DO  - 10.3390/foods9070888
ER  - 

@article{
author = "Guine, Raquel P.F. and Bartkiene, Elena and Szucs, Viktoria and Tarcea, Monica and Ljubicić, Marija and Cernelić-Bizjak, Masa and Isoldi, Kathy and EL-Kenawy, Ayman and Ferreira, Vanessa and Straumite, Evita and Korzeniowska, Malgorzata and Vittadini, Elena and Leal, Marcela and Frez-Munoz, Lucia and Papageorgiou, Maria and Đekić, Ilija and Ferreira, Manuela and Correia, Paula and Cardoso, Ana Paula and Duarte, Joao",
year = "2020",
abstract = "Many aspects linked to personal characteristics, society and culture constitute some of the motivators that drive food choice. The aim of this work was to determine in what extent the eating behaviors of individuals are shaped by six different types of determinants, namely: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials. This is a descriptive cross-sectional study, involving a non-probabilistic sample of 11,960 participants from 16 countries. The objective of this work was to validate the questionnaire, so as to make it suitable for application in different contexts and different countries. For that, six scales were considered for validation by confirmatory factor analysis with structural equation modelling. The obtained results showed that the six individual scales evaluated presented good or very good fitting indices, with saturation in goodness-of-fit index in all cases. The values of chi-square ratio were 6.921 (for health), 0.987 (environment), 0.610 (emotions) and 0.000 in the remaining cases (convenience, society, marketing). Furthermore, the fit was perfect, with saturation for all indices, in three of the six models (convenience, society and marketing). The results of this wok allowed the validation of the six scales, and the assessing of different types of factors that can influence food choices and eating behaviors, namely in the categories: health, emotions, price and availability, society and culture, environment and politics, and marketing and commercials.",
publisher = "MDPI, BASEL",
journal = "Foods",
title = "Study about Food Choice Determinants According to Six Types of Conditioning Motivations in a Sample of 11,960 Participants",
number = "7",
volume = "9",
doi = "10.3390/foods9070888"
}

Guine, R. P.F., Bartkiene, E., Szucs, V., Tarcea, M., Ljubicić, M., Cernelić-Bizjak, M., Isoldi, K., EL-Kenawy, A., Ferreira, V., Straumite, E., Korzeniowska, M., Vittadini, E., Leal, M., Frez-Munoz, L., Papageorgiou, M., Đekić, I., Ferreira, M., Correia, P., Cardoso, A. P.,& Duarte, J.. (2020). Study about Food Choice Determinants According to Six Types of Conditioning Motivations in a Sample of 11,960 Participants. in Foods
MDPI, BASEL., 9(7).
https://doi.org/10.3390/foods9070888

Guine RP, Bartkiene E, Szucs V, Tarcea M, Ljubicić M, Cernelić-Bizjak M, Isoldi K, EL-Kenawy A, Ferreira V, Straumite E, Korzeniowska M, Vittadini E, Leal M, Frez-Munoz L, Papageorgiou M, Đekić I, Ferreira M, Correia P, Cardoso AP, Duarte J. Study about Food Choice Determinants According to Six Types of Conditioning Motivations in a Sample of 11,960 Participants. in Foods. 2020;9(7).
doi:10.3390/foods9070888 .

Guine, Raquel P.F., Bartkiene, Elena, Szucs, Viktoria, Tarcea, Monica, Ljubicić, Marija, Cernelić-Bizjak, Masa, Isoldi, Kathy, EL-Kenawy, Ayman, Ferreira, Vanessa, Straumite, Evita, Korzeniowska, Malgorzata, Vittadini, Elena, Leal, Marcela, Frez-Munoz, Lucia, Papageorgiou, Maria, Đekić, Ilija, Ferreira, Manuela, Correia, Paula, Cardoso, Ana Paula, Duarte, Joao, "Study about Food Choice Determinants According to Six Types of Conditioning Motivations in a Sample of 11,960 Participants" in Foods, 9, no. 7 (2020),
https://doi.org/10.3390/foods9070888 . .

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 . .