R P F Guiné1, J Duarte1, M Ferreira1, P Correia1, M Leal2, I Rumbak3, I C Barić3, D Komes3, Z Satalić3, M M Sarić4, M Tarcea5, Z Fazakas5, D Jovanoska6, D Vanevski6, E Vittadini7, N Pellegrini7, V Szűcs8, J Harangozó8, A El-Kenawy9, O El-Shenawy10, E Yalçın11, C Kösemeci11, D Klava12, E Straumite12. 1. CI&DETS, Polytechnic Institute of Viseu, Portugal. 2. Faculty of Health Sciences, Maimonides University, Argentina. 3. Faculty of Food Technology and Biotechnology, University of Zagreb, Croatia. 4. Department of Health Studies, University of Zadar, Croatia. 5. University of Medicine and Pharmacy from Tirgu-Mures, Romania. 6. Public Health Institute, Centre for Public Health, Tetovo, Macedonia. 7. Department of Food Science, University of Parma, Italy. 8. National Agricultural Research and Innovation Centre, Budapest, Hungary. 9. Genetic Engineering Institute, University of Sadat City, Egypt. 10. Department of Psychology, Faculty of Arts, Menoufia University, Egypt. 11. Department of Food Engineering, Abant İzzet Baysal University, Turkey. 12. LUA Latvia University of Agriculture, Latvia.
Abstract
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 10 countries from three continents. The instrument is a questionnaire of self-response, aimed at collecting information on knowledge about food fibres. Exploratory factor analysis (EFA) was chosen as 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 seven questions that explained 33.94% of total variance (α = 0.852). The second was named sources of dietary fibre (SDF) and included four questions that explained 22.46% of total variance (α = 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 χ(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 (r(2) = 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.
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 10 countries from three continents. The instrument is a questionnaire of self-response, aimed at collecting information on knowledge about food fibres. Exploratory factor analysis (EFA) was chosen as 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 seven questions that explained 33.94% of total variance (α = 0.852). The second was named sources of dietary fibre (SDF) and included four questions that explained 22.46% of total variance (α = 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 χ(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 (r(2) = 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.
Authors: P F Guiné Raquel; João Duarte; Ana Cristina Ferrão; Manuela Ferreira; Paula Correia; Ana Paula Cardoso; Elena Bartkiene; Viktória Szűcs; Levente Nemes; Marija Ljubičić; Maša Černelič-Bizjak; Kathy Isoldi; Ayman El Kenawy; Vanessa Ferreira; Evita Straumite; Małgorzata Korzeniowska; Elena Vittadini; Marcela Leal; Lucia Frez-Muñoz; Maria Papageorgiou; Ilija Djekić Journal: Zdr Varst Date: 2020-12-31