The assessment of the level of knowledge about dietary fibre among the portuguese population

The aim of this work was to assess the degree of knowledge about dietary fibre (DF), as influenced by factors such as age, gender, level of education and living environment. For this, a descriptive cross- sectional study was undertaken by means of a questionnaire and the total number of respondents was 382. The results revealed that the participants had a not satisfying global level of knowledge (3.59 ± 0.64, on a scale from 1 to 5). The overall knowledge was found lower for young adults aged 19 to 30 years, when compared to adults aged over 31 and up to 65 years, being this difference statistically significant (p=0.030). However, no statistical significant differences were found between genders, levels of education or living environments. The low level of knowledge demonstrated by the enquired alerts for the need to plan some additional actions to further inform the Portuguese population about dietary fibre.

Knowledge about sources of dietary fibres and health effects using a validated scale: a cross-country study

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.