Attitudes towards dietary fibre on a multicultural basis: A fibre study framework

Background: Dietary fibre (DF) has been recognised as having many positive health effects. Hence, the objective of this research was to evaluate the consuming habits relating to DF on people from different countries, as well as their knowledge about the fibre rich foods and their attitudes towards food labelling. Methods: A descriptive cross-sectional study was undertaken on a non-probabilistic sample of 6010 participants from 10 countries. Descriptive statistics and inferential tests were done using SPSS software considering a level of significance of 5%. Results: The results suggested that the ingestion of fibre rich foods like fruit, vegetables and cereals, was low and far from the recommended amounts. It was also concluded that most people did not pay the desired level of attention to food labelling and nutritional information. Furthermore, the level of knowledge about dietary fibre was generally not satisfactory. Conclusion: In view of these findings it becomes important to develop actions to better inform the population and to make them better aware of the importance of dietary fibre in their habitual diet

Cluster analysis to the factors related to information about food fibers: A multinational study

The adequate intake of dietary fibers is essential to human health. Hence, this study intended to evaluate the level knowledge of about food fibers and investigate what factors might be associated with it. A descriptive cross-sectional study was conducted 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 the factor analysis (FA) and the cluster analysis (CA). Validation was done by splitting the data set into two equal parts for confirmation of the results. FA concluded that ten from the 12 variables used to measure the knowledge about dietary fibre (DF) should be grouped into two dimensions or factors: one linked to health effects of DF (α = 0.854) and the other to its sources (α = 0.644). CA showed that the participants could be divided into three 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 data were appropriate for the analysis by means of factor and CA, so that two factors and three clusters were clearly identified. Moreover, the cluster membership was found varying mostly according to the country, living environment, and level of education but not according to age or gender