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Factor and cluster analysis to knowledge about dietary fibre

2017-04Conference object Open access
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dc.contributor.authorGuiné, Raquel
dc.contributor.authorCorreia, Paula
dc.contributor.authorKlava, D.
dc.contributor.authorStraumite, E.
dc.contributor.authorSzűcs, V.
dc.contributor.authorHarangozó, J.
dc.contributor.authorTarcea, M.
dc.contributor.authorFazakas, Z.
dc.contributor.authorRumbak, I.
dc.contributor.authorBarić, I. C.
dc.contributor.authorKomes, D.
dc.contributor.authorSatalić, Z.
dc.contributor.authorSarić, M. M.
dc.contributor.authorYalçın, E.
dc.contributor.authorKösemeci, C.
dc.contributor.authorLeal, M.
dc.contributor.authorJovanoska, D.
dc.contributor.authorVanevski, D.
dc.contributor.authorVittadini, E.
dc.contributor.authorPellegrini, N.
dc.contributor.authorEL-Kenawy, A.
dc.contributor.authorEL-Shenawy, O.
dc.date.accessioned2017-05-03T15:27:51Z
dc.date.available2017-05-03T15:27:51Z
dc.date.issued2017-04
dc.description.abstractThe present study was aimed at investigating what are the people’s levels of information about dietary fibre (DF) and how they relate to some fators that result from the people’s perceptions associated with the knowledge about DF. The study consisted of a descriptive cross-sectional survey undertaken on a sample of over 6 thousand participants, original from 10 countries. Statistical techniques like factor analysis and cluster analysis were applied to the data. Factor analysis showed that 10 out of the 12 variables used to measure the knowledge about DF could be grouped into 2 factors: one associated with health effects of DF and the other with its natural sources. The internal consistency of both factors was evaluated by the Cronbach’s alfa (0.854 and 0.644, respectively). Cluster analysis revealed that the participants could be divided into 3 groups: Cluster 1 – Good knowledge both about sources and health effects of DF; Cluster 2 – Good knowledge about the sources of DF but poor knowledge about its health effects; Cluster 3 – Poor knowledge both about sources and health effects of DF. The results were subject to analysis of stability by spliting the data set in 2 halfs. The cluster membership was found associated with living environment and level of education, but not with age, gender or country.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGuiné, R. P. F., Correia, P., Klava, D., Straumite, E., Szűcs, V., Harangozó, J., ... EL-Shenawy, O. (2017). Factor and cluster analysis to knowledge about dietary fibre. in Evita Straumite (Ed.), "Abstract Book of 11th Baltic Conference on Food Science and Technology "FOODBALT 2017", Jelgava, Letónia, pp. 41.pt_PT
dc.identifier.issn2501-0190
dc.identifier.urihttp://hdl.handle.net/10400.19/4565
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectDietary fibrept_PT
dc.subjectKnowledgept_PT
dc.subjectSources of fibrept_PT
dc.subjectSurveypt_PT
dc.titleFactor and cluster analysis to knowledge about dietary fibrept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceJelgava, Letóniapt_PT
oaire.citation.endPage41pt_PT
oaire.citation.startPage41pt_PT
oaire.citation.title11th Baltic Conference on Food Science and Technology "FOODBALT 2017"pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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