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.

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

Vittadini E.;
2020-01-01

Abstract

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.
2020
262
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/446310
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