Repository logo
 
Publication

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

2020Journal article Open access
Simple item page
dc.contributor.authorGuiné, Raquel
dc.contributor.authorFerrão, Ana Cristina
dc.contributor.authorFerreira, Manuela
dc.contributor.authorCorreia, Paula
dc.contributor.authorMendes, Mateus
dc.contributor.authorBartkiene, Elena
dc.contributor.authorSzűcs, Viktória
dc.contributor.authorTarcea, Monica
dc.contributor.authorSarić, Marijana Matek
dc.contributor.authorČernelič-Bizjak, Maša
dc.contributor.authorIsoldi, Kathy
dc.contributor.authorEL-Kenawy, Ayman
dc.contributor.authorFerreira, Vanessa
dc.contributor.authorKlava, Dace
dc.contributor.authorKorzeniowska, Małgorzata
dc.contributor.authorVittadini, Elena
dc.contributor.authorLeal, Marcela
dc.contributor.authorFrez-Muñoz, Lucia
dc.contributor.authorPapageorgiou, Maria
dc.contributor.authorDjekić, Ilija
dc.date.accessioned2020-07-06T13:18:28Z
dc.date.available2020-07-06T13:18:28Z
dc.date.issued2020
dc.description.abstractThis 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGuiné RPF, Ferrão AC, Ferreira M, Correia P, Mendes M, Bartkiene E, Szűcs V, Tarcea M, Sarić MM, Černelič-Bizjak M, Isoldi K, EL-Kenawy A, Ferreira V, Klava D, Korzeniowska M, Vittadini E, Leal M, Frez-Muñoz L, Papageorgiou M, Djekić I (2020) Influence of sociodemographic factors on eating motivations – modelling through artificial neural networks (ANN). International Journal of Food Sciences and Nutrition, 71(5), 614–627.pt_PT
dc.identifier.doi10.1080/09637486.2019.1695758pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/6313
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectfood choicept_PT
dc.subjecthealthy dietpt_PT
dc.subjectneuronal modellingpt_PT
dc.subjectcross- cultural surveypt_PT
dc.titleInfluence of sociodemographic factors on eating motivations – modelling through artificial neural networks (ANN)pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage627pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage614pt_PT
oaire.citation.titleInternational Journal of Food Sciences and Nutritionpt_PT
oaire.citation.volume71pt_PT
person.familyNamede Pinho Ferreira Guiné
person.familyNameFerrão
person.familyNameFerreira
person.familyNameCorreia
person.familyNameMendes
person.familyNameLeal
person.givenNameRaquel
person.givenNameAna Cristina
person.givenNameManuela
person.givenNamePaula
person.givenNameMateus
person.givenNameMarcela
person.identifierhttps://scholar.google.pt/citations?user=abFDovIAAAAJ&hl=pt-PT
person.identifier1684018
person.identifier670199
person.identifier.ciencia-id8B13-5492-0F23
person.identifier.ciencia-idE610-F403-FADD
person.identifier.ciencia-id7915-FB81-4520
person.identifier.ciencia-id5313-FB6A-40A1
person.identifier.orcid0000-0003-0595-6805
person.identifier.orcid0000-0002-3337-9139
person.identifier.orcid0000-0002-8452-2222
person.identifier.orcid0000-0002-2023-4475
person.identifier.orcid0000-0003-4313-7966
person.identifier.orcid0000-0002-7052-1077
person.identifier.ridN-1236-2013
person.identifier.ridV-4646-2018
person.identifier.scopus-author-id6603138390
person.identifier.scopus-author-id57195937199
person.identifier.scopus-author-id54795093700
person.identifier.scopus-author-id24597116100
person.identifier.scopus-author-id24537448100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication59580952-77cc-4e4e-ae90-527a8b994f9f
relation.isAuthorOfPublication24fe148c-9adc-4ef9-9f16-9c66b1d3137b
relation.isAuthorOfPublicationb3ac2fdc-b878-4f68-9045-4b1c0ae8f567
relation.isAuthorOfPublication9395b4b0-ffd1-4f2d-a99c-4bb5cac701c0
relation.isAuthorOfPublicationd210b9b9-4a32-417e-a589-793f37e5d797
relation.isAuthorOfPublication7d3ae2c9-8414-442e-a20d-32d3c6c572ce
relation.isAuthorOfPublication.latestForDiscoveryd210b9b9-4a32-417e-a589-793f37e5d797

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
REP_ANN ETAMOT.pdf
Size:
773.95 KB
Format:
Adobe Portable Document Format
Download

Collections

CERNAS - Artigo em revista científica, indexada ao WoS/Scopus
ESAV - DIA - Artigo em revista científica, indexada ao WoS/Scopus
ESSV - UEMOG - Artigo em revista científica, indexada ao WoS/Scopus