Browsing by Author "El-Kenawy, A."
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- Cluster analysis to the factors related to information about food fi bers: A multinational studyPublication . Guiné, Raquel; Correia, Paula; Leal, M.; Rumbak, I.; Baric, I.; Komes, D.; Satalic, Z.; Saric, M.; Tarcea, M.; Fazakas, Z.; jovanoska, D.; Vanevski, D.; Vittadini, E.; Pellegrini, N.; Szucs, V.; Harangozo, J.; El-Kenawy, A.; El-Shenawy, O.; Yalcin, E.; Kosemeci, C.; Klava, D.; Straumite, E.; Ferreira, Manuela; Florença, S.The adequate intake of dietary fibres is essential to human health. Hence, this work intended to evaluate the level knowledge of about food fibres and investigate what factors might be associated with it. It was undertaken a descriptive cross-sectional study on a sample composed of 6,010 participants from ten different countries. The survey was based on a questionnaire of self-response, approved and complying with all ethical issues. The data collected were subjected to factor analysis and cluster analysis techniques. Validation was made by splitting the data set into two equal parts for confirmation of the results. Factor analysis allowed concluding that ten from the 12 variables used to measure the knowledge about dietary fibre should be grouped into two dimensions or factors: one linked to health effects of dietary fibre (α =0.854) and the other to its sources (α =0.644). Cluster analysis showed that the participants could be divided into three groups: Cluster 1 – Good knowledge both about sources and health effects of dietary fibre; Cluster 2 – Good knowledge about the sources of dietary fibre but poor knowledge about its health effects; Cluster 3 – Poor knowledge both about sources and health effects of dietary fibre. The data was appropriate for analysis by means of factor and cluster analysis, so that two factors and three clusters were clearly identified. Moreover, the cluster membership was found varying mostly according to country, living environment and level of education but not according to age or gender.
- Food choices as influenced by environmental concerns: study involving participants from 16 countriesPublication . Guiné, Raquel; Ferreira, Manuela; Correia, Paula; Leal, M.; Ferreira, V.; Rumbak, I.; El-Kenawy, A.; Papageorgiou, M.; Szucs, V.; Vittadini, E.; Klava, D.; Bartkiene, E.; Munoz, L.; Korzeniowska, M.; Tarcea, M.; Djekić, I.; Bizjak, M.; Isoldi, K.The activities related to food production, processing, handling, transportation, storage and disposal of food products have an important impact on sustainability. Hence, people’s food choices also contribute for the definition of the extension of this impact and therefore this work aimed at studying some motivations that influence people’s eating habits. This was an observational, cross-sectional study, undertaken on a non-probabilistic sample of 11960 participants form 16 countries (Argentina, Brazil, Croatia, Egypt, Greece, Hungary, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Serbia, Slovenia, Romania, United States of America). The survey was undertaken by means of a questionnaire of self-response, applied only to adult citizens. The results obtained indicated that a great number of participants admit to shape their food choices according to some environmental concerns, like, for example, they prefer foods from the season or those that comply with sustainable processing and packaging. Regarding the food surplus, this seems a priority to avoid at home, but not so much when it comes to restaurants. Factor analysis indicated two types of concerns: Purely Environmental Concerns (PEC) and Sustainability allied to Quality Concerns (SQC), and cluster analysis showed that 54% of the participants tend to make their food choices considering both types of concerns, which is very expressive and positive towards sustainability of the food chain.
- Level of information about dietary fibre: a study involving 10 CountriesPublication . Guiné, Raquel; Leal, Marcela; Rumbak, I.; Baric, I.; Komes, D.; Satalic, Z.; Saric, M.; Tarcea, M.; Fazakas, Z.; Jovanoska, D.; Vanevski, D.; Yalcin, E.; Vittadini, E.; Pellegrini, N.; Szucs, V.; Harangozo, J.; El-Kenawy, A.; El-Shenawy, O.; yalcin, E.; Kosemeci, C.; Klava, D.; Straumite, E.Introduction: Dietary fibre (DF) is recognized as healthy for long, so that health claims are allowed by the European Food Safety Authority (EFSA) due to its proved benefits, extended but not only confined to many diseases of the gastrointestinal tract. Objective: This work intended to analyse the level of information about DF in 10 countries, situated in Europe, Africa and South America. Methods: A descriptive cross-sectional study was undertaken through a survey based on a questionnaire of self-response applied to a sample of 6010 participants. The data were lately treated by factor and cluster analyses, including validation methodologies. Results: Factor analysis showed that ten of the twelve items used to assess the knowledge about DF could be arranged into two factors: one related to health effects (α =0.854) and the other to the sources (α =0.644). Furthermore, cluster analysis showed that the participants could be divided into three groups: 1) Good knowledge about sources and health effects of DF; 2) Good knowledge about the sources of DF but poor knowledge about the health effects; 3) Poor knowledge about the sources and health effects of DF. Conclusions: The results clearly allowed identifying two factors and three clusters, and the variables that most influenced cluster membership were country, living environment and level of education.
- The eating motivations scale (EATMOT): Development and validation by means of confirmatory factor analysis (CFA) and structural equation modelling (SEM)Publication . Guiné, Raquel; Duarte, João; Ferrão, Ana Cristina; Ferreira, Manuela; Correia, Paula; Cardoso, Ana Paula; Bartkiene, E.; Szucs, V.; Nemes, L.; Ljubicic, M.; Bizjac, M.; Isoldi, K.; El-Kenawy, A.; Ferreira, V.; Straumite, E.; Korzeniowska, M.; Vittadini, E.; Leal, M.; Frez-Munoz, L.; Papageorgiou, M.; Djekic, I.Introduction: The objective was to develop and validate an instrument that measures different determinants of people’s food choices and simultaneously accounts for a variety of factors: health, emotions, price and availability, society and culture, environment and politics, and marketing and advertising. Methods: This is a cross-sectional study focusing on food choice determinants. It was carried out in 16 countries in 2017 and 2018. This study included 11,960 volunteer adult participants from different countries. The data was validated using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM). Results: Validation using CFA with SEM revealed that multi-factor modelling produced first- and second-order models that could be used to define the EATMOT scale, the first presenting better fitting indices, with the goodness-of-fit and comparative-fit indices very close to 1, as well as root-mean-square-error-of-approximation, root-mean-square-residual and standardised-root-mean-square-residual at practically zero. Conclusion: The validated EATMOT scale guarantees confidence in the information obtained through this instrument, and can be used in future studies to better understand food choice determinants in different geographical areas and help plan strategies to improve healthy eating patterns and diminish the burden of non-communicable diseases.