Browsing by Author "Satalić, Z."
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- Factor and cluster analysis to knowledge about dietary fibrePublication . Guiné, Raquel; Correia, Paula; Klava, D.; Straumite, E.; Szűcs, V.; Harangozó, J.; Tarcea, M.; Fazakas, Z.; Rumbak, I.; Barić, I. C.; Komes, D.; Satalić, Z.; Sarić, M. M.; Yalçın, E.; Kösemeci, C.; Leal, M.; Jovanoska, D.; Vanevski, D.; Vittadini, E.; Pellegrini, N.; EL-Kenawy, A.; EL-Shenawy, O.The 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.
- Knowledge about dietary fibres (KADF): development and validation of an evaluation instrument through structural equation modelling (SEM)Publication . Guiné, Raquel; Duarte, J.; Ferreira, M.; Correia, P.; Leal, M.; Rumbak, I.; Barić, I.C.; Komes, D.; Satalić, Z.; Sarić, M.M.; Tarcea, M.; Fazakas, Z.; Jovanoska, D.; Vanevski, D.; Vittadini, E.; Pellegrini, N.; Szűcs, V.; Harangozó, J.; EL-Kenawy, A.; EL-Shenawy, O.; Yalçın, E.; Kösemeci, C.; Klava, D.; Straumite, E.Objectives: Because there is scientific evidence that an appropriate intake of dietary fibre should be part of a healthy diet, given its importance in promoting health, the present study aimed to develop and validate an instrument to evaluate the knowledge of the general population about dietary fibres. Study design: The present study was a cross sectional study. Methods: The methodological study of psychometric validation was conducted with 6010 participants, residing in ten countries from 3 continents. The instrument is a questionnaire of self-response, aimed at collecting information on knowledge about food fibres. For exploratory factor analysis (EFA) was chosen the analysis of the main components using varimax orthogonal rotation and eigenvalues greater than 1. In confirmatory factor analysis by structural equation modelling (SEM) was considered the covariance matrix and adopted the Maximum Likelihood Estimation algorithm for parameter estimation. Results: Exploratory factor analysis retained two factors. The first was called Dietary Fibre and Promotion of Health (DFPH) and included 7 questions that explained 33.94 % of total variance ( = 0.852). The second was named Sources of Dietary Fibre (SDF) and included 4 questions that explained 22.46% of total variance ( = 0.786). The model was tested by SEM giving a final solution with four questions in each factor. This model showed a very good fit in practically all the indexes considered, except for the ratio 2/df. The values of average variance extracted (0.458 and 0.483) demonstrate the existence of convergent validity; the results also prove the existence of discriminant validity of the factors (r2 = 0.028) and finally good internal consistency was confirmed by the values of composite reliability (0.854 and 0.787). Conclusions: This study allowed validating the KADF scale, increasing the degree of confidence in the information obtained through this instrument in this and in future studies.
- Knowledge about sources of dietary fibres and health effects using a validated scale: a cross-country studyPublication . Guiné, Raquel; Duarte, J.; Ferreira, M.; Correia, P.; Leal, M.; Rumbak, I.; Barić, I.C.; Komes, D.; Satalić, Z.; Sarić, M.M.; Tarcea, M.; Fazakas, Z.; Jovanoska, D.; Vanevski, D.; Vittadini, E.; Pellegrini, N.; Szűcs, V.; Harangozó, J.; EL-Kenawy, A.; EL-Shenawy, O.; Yalçın, E.; Kösemeci, C.; Klava, D.; Straumite, E.Objectives Dietary fibre (DF) is one of the components of diet that strongly contributes to health improvements, particularly on the gastrointestinal system. Hence, this work intended to evaluate the relations between some sociodemographic variables such as age, gender, level of education, living environment or country on the levels of knowledge about dietary fibre (KADF), its sources and its effects on human health, using a validated scale. Study design The present study was a cross-sectional study. Methods A methodological study was conducted with 6010 participants, residing in 10 countries from different continents (Europe, America, Africa). The instrument was a questionnaire of self-response, aimed at collecting information on knowledge about food fibres. The instrument was used to validate a scale (KADF) which model was used in the present work to identify the best predictors of knowledge. The statistical tools used were as follows: basic descriptive statistics, decision trees, inferential analysis (t-test for independent samples with Levene test and one-way ANOVA with multiple comparisons post hoc tests). Results The results showed that the best predictor for the three types of knowledge evaluated (about DF, about its sources and about its effects on human health) was always the country, meaning that the social, cultural and/or political conditions greatly determine the level of knowledge. On the other hand, the tests also showed that statistically significant differences were encountered regarding the three types of knowledge for all sociodemographic variables evaluated: age, gender, level of education, living environment and country. Conclusions The results showed that to improve the level of knowledge the actions planned should not be delineated in general as to reach all sectors of the populations, and that in addressing different people, different methodologies must be designed so as to provide an effective health education.