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  - 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 . .

TY  - JOUR
AU  - Đekić, Ilija
AU  - Ilić, Jovan
AU  - Guine, Raquel P.F.
AU  - Tomašević, Igor
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5261
AB  - This study had two objectives, to determine oral processing parameters and its correlation with mechanical properties of selected confectionery products and to categorize oral processing and sensory attributes based on a Kano model. Thirteen panelists analyzed five confectionery products in the oral processing part of the study. In parallel, 327 interviews participated in a field survey to enable analyzing responses to food quality and oral processing attributes. It has been confirmed that oral processing parameters are interrelated with most of the mechanical properties of confectionery products. Average number of bites is correlated with consumption time per bite, chewing rate, and bite size. Consumption time and chewing rate were negatively correlated for Brownie cake. Satiation was associated with eating rate and calorie intake rate for Jelly Candy and Waffle. All food quality requirements were categorized as "attractive" and "one-dimensional." Oral processing parameters-food breakdown and eating rate are aligned to "attractive" category, bite size was identified as a "must-be" category, and number of chews is outlined as a "reverse" category. The Kano model results show that oral processing parameters have a strong influence on consumer satisfaction in parallel with well-known sensorial characteristics associated with food quality.
PB  - Wiley, Hoboken
T2  - Journal of Texture Studies
T1  - Can we understand food oral processing using Kano model? Case study with confectionery products
DO  - 10.1111/jtxs.12550
ER  - 

@article{
author = "Đekić, Ilija and Ilić, Jovan and Guine, Raquel P.F. and Tomašević, Igor",
year = "2020",
abstract = "This study had two objectives, to determine oral processing parameters and its correlation with mechanical properties of selected confectionery products and to categorize oral processing and sensory attributes based on a Kano model. Thirteen panelists analyzed five confectionery products in the oral processing part of the study. In parallel, 327 interviews participated in a field survey to enable analyzing responses to food quality and oral processing attributes. It has been confirmed that oral processing parameters are interrelated with most of the mechanical properties of confectionery products. Average number of bites is correlated with consumption time per bite, chewing rate, and bite size. Consumption time and chewing rate were negatively correlated for Brownie cake. Satiation was associated with eating rate and calorie intake rate for Jelly Candy and Waffle. All food quality requirements were categorized as "attractive" and "one-dimensional." Oral processing parameters-food breakdown and eating rate are aligned to "attractive" category, bite size was identified as a "must-be" category, and number of chews is outlined as a "reverse" category. The Kano model results show that oral processing parameters have a strong influence on consumer satisfaction in parallel with well-known sensorial characteristics associated with food quality.",
publisher = "Wiley, Hoboken",
journal = "Journal of Texture Studies",
title = "Can we understand food oral processing using Kano model? Case study with confectionery products",
doi = "10.1111/jtxs.12550"
}

Đekić, I., Ilić, J., Guine, R. P.F.,& Tomašević, I.. (2020). Can we understand food oral processing using Kano model? Case study with confectionery products. in Journal of Texture Studies
Wiley, Hoboken..
https://doi.org/10.1111/jtxs.12550

Đekić I, Ilić J, Guine RP, Tomašević I. Can we understand food oral processing using Kano model? Case study with confectionery products. in Journal of Texture Studies. 2020;.
doi:10.1111/jtxs.12550 .

Đekić, Ilija, Ilić, Jovan, Guine, Raquel P.F., Tomašević, Igor, "Can we understand food oral processing using Kano model? Case study with confectionery products" in Journal of Texture Studies (2020),
https://doi.org/10.1111/jtxs.12550 . .