Browsing by Author "Szucs, V."
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- Analysis of food buying behavior: A multinational study frameworkPublication . Guiné, Raquel P. F.; Ferreira, Manuela; Correia, Paula; Bartkiene, E.; Szucs, V.; Tarcea, M.; Ranilović, J.; 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.To make everyday food choices is a complex pro- cess, involving decisions which are influenced by distinct aspects associated with, among other fac- tors, purchasing ease, competitiveness of the mar- ket, advertising campaigns and marketing strategies, to mention a few related with aspects linked to com- mercialization. Hence, the objective of this study, which is integrated in the EATMOT project, was to as- sess some factors that influence food buying and food choice, in particular related with aspects such as price,convenience and marketing, as a function of some sociodemographic and geographic variables, namely, age, gender, marital status, level of education, living environment and country of residence. This study involved a questionnaire survey undertak- en on 11,960 participants from 16 countries. The in- strument used in this study was validated and trans- lated into the different languages of the participating countries, following double sided translation-checking methodology. The participants were from: Argentina, Brazil, Croatia, Egypt, Greece, Hungary, Italy, Latvia, Lithuania, Netherlands, Poland, Portugal, Romania, Serbia, Slovenia, and United States of America. The sample was selected by convenience and the partici- pation in the study was voluntary, being the question- naire applied only to adult citizens. Basic descriptive statistics were used for data analysis and the associ- ations between variables were investigated by cross- tabs and chi square tests. Additionally, a tree classifi- cation analysis was performed to assess the relative importance of each of the sociodemographic variables (gender, age group, level of education, country, living environment or marital status). The analysis followed the Classification and Regression Trees (CRT) algorithm with cross validation and the minimum number of cas- es considered for parent or child nodes was 100 and 50, respectively. For all data analysis, the software SPSS from IBM Inc. (version 25) was used and the level of sig- nificance considered was 5%. Results showed statistically significant differences (p < 0.0005) between groups for all sociodemographic vari- ables (gender, age, education, marital status, living en- vironment, country) in terms of the value attributed to convenience, price and marketing when buying foods. In most cases, the associations between the variables were considered very weak, although with a little high- er values for the associations between the country and variables “value convenience” (V = 0.179), “value price” (V = 0.158) and “value marketing” (V = 0.167). Tree clas- sification analysis confirmed for all three dependent variables that the most influential factor was country. This work highlighted that people in different coun - tries and from different sociodemographic groups show different motivations for buying food products.
- 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.
- Comparative study about some eating habits in six countries: eating out and fast food consumptionPublication . Guiné, Raquel; Florença, S. G.; Leal, M.; Rumbak, I.; Komes, D.; Saric, M. M.; Tarcea, M.; Fazalas, Z.; Szucs, V.; Klava, D.; Straumite, E.; Baric, I.Poor diets have proven very detrimental for the maintenance of good health and eating an excessive amount of fast food and highly processed meals can harm the general health status of the population. Hence, this work investigates the habits related to eating outside the home and frequency of eating fast food meals in participants from six different countries. A cross-sectional descriptive study was undertaken on a sample of 4,904 adult participants. For the data treatment, basic statistics were complemented with tree classification analysis, using the CRT algorithm. This study concluded that in the sample under study the frequency of eating out of home was in general low, corresponding to four or fewer times per week for 71.9% of the participants, and the consumption of fast food meals was also acceptable, i.e., with a low frequency of up to two times per week in 88.6% of the respondents. The biggest differences were encountered when comparing participants from different age groups, countries or sexes, and not so much for living environment or education level. Tree classification analysis highlighted the relative importance of the considered factors for eating out and fast food meals, being country and age confirmed as the most influential factors. In the evaluated sample the incidence of eating out and fast food meals were low, which is a good indicator to contribute globally for the good health status of the participants involved in the study.
- Environmental Issues as Drivers for Food Choice: Study from a Multinational FrameworkPublication . Guiné, Raquel P. F.; Batkiene, E.; Florença, S. G.; Djekić, I.; Bizjak, M. C.; Tarcea, M.; Leal, M.; Ferreira, V.; Rumbak, I.; Orfanos, P.; Szucs, V.; Klava, D.; Korzeniowska, M.; Isoldi, K.; Correia, Paula; Ferreira, Manuela; Cardoso, Ana PaulaThis work intended to explore some motivations that influence people’s eating habits to- wards sustainability. This was an observational, cross-sectional study, carried out by questionnaire survey on a non-probabilistic sample of 10,067 participants from 13 countries (Argentina, Brazil, Croatia, Greece, Hungary, Latvia, Lithuania, Poland, Portugal, Serbia, Slovenia, Romania and United States). Results indicated that people prefer fresh local foods from the season, being im- portant because it allows transportation and storage to be reduced, which in many cases implies refrigeration systems and consequent energy expenditure. Although people avoid food waste at home, the awareness for the waste at restaurants still needs to be improved. Consumers seem to prefer foods that have been produced and packed in sustainable ways but still give importance to the package—understandable for food products. The results also indicated significant differences in the food choice motivations between groups for all sociodemographic variables tested (age, sex, marital status, education, professional area, living environment and country), but the association was high only for variable country. Additionally, a tree classification analysis allowed to identify the relative importance of the influential variables on the sustainable food choices, with country being the most important, followed by age and sex. Additionally, discriminant function analysis allowed establishing a model for the relation between country and six variables accounting for preservation of biodiversity, respect for life, save natural resources, save energy, reduce industrial pollution and minimal packaging. Although with some limitations, this study brings valuable in- sight into some aspects linked with sustainable food choices on a number of countries and how people shape their food choices according to some sustainability issues.
- 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.