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

Abstract

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.info:eu-repo/semantics/publishedVersio

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