Approx. 60–80 million couples globally are affected by the problem of infertility. The issue is important both for the couple trying to conceive and for the whole society in which the couple lives. Lifestyle, including nutrition, may have both a positive and a negative impact on the outcomes of infertility treatment. The aim of this paper is to assess the relationship between knowledge in the area of fertility diet and its actual use, and types of fertility disorders among women undergoing (...) treatment in a fertility clinic. A group of women was analyzed statistically, divided into 3 groups according to their couple’s cause of infertility – the causes of infertility were described as: the male factor, the female factor, and the idiopathic factor. The study group answered questions that comprised a fertility diet knowledge test; the frequency of consumption of particular food products in a individual groups was also analyzed. Correspondence analysis showed differences between the groups in the number of points scored in the fertility diet knowledge test, as well as in the consumption of sweets, crisps and sticks, and nuts and seeds. Women among whom the main cause of infertility was defined as the male factor scored the highest numbers of points in the fertility diet knowledge test, women with the idiopathic cause of infertility scored slightly lower numbers of points, while women whose main cause of infertility was defined as the female factor scored the lowest numbers of points. Women from couples with idiopathic infertility consumed sweets, crisps and sticks the most often, followed by women with the cause of infertility identified on their side, with the lowest frequency of consumption of sweets identified among women whose partner was infertile. Nuts and seeds were consumed the most frequently by women whose partners were infertile, followed by women with the cause of infertility identified on their side, while women with the idiopathic cause of infertility consumed nuts and seeds the least frequently. These examples show that correspondence analysis is well suited to the assessment of the influence of lifestyle on fertility; in addition, it makes it possible to recognize certain correlations that may not be observed in standard statistical tests. (shrink)

Many studies confirm the fact that women do not have sufficient knowledge about reproductive health, which is a significant problem nowadays due to the large percentage of people who suffer from infertility. A sources of knowledge from which information about health, including reproductive health, is obtained have various levels of reliability. The aim of the study was to use regression trees to find which of the analysed parameters had the greatest impact on the level of respondents’ knowledge about fertility and (...) the impact of diet on fertility. The study was conducted among women who practice dance in Max Dance studio in Białystok. The group consisted of 42 women with an average age of 26.3 years, dancing in various dance styles at various levels of proficiency. A questionnaire on lifestyle and a sources of information on fertility was used; the questionnaire also contained a knowledge test focused on reproductive health and the impact of diet on fertility, in which the questions were based on information from the latest research. Three regression trees were created for three indicators determining the level of respondents’ knowledge. The obtained results revealed certain areas that have a significant impact on the level of knowledge about reproductive health, which may require additional education. The use of the regression trees method made it possible to determine the relationships between the analysed data that were not fully visible after standard biostatistical analyses had been performed. The created trees can be useful in improving the process of disseminating knowledge about reproductive health among women of childbearing age. (shrink)

Preventive vaccination is one of the greatest successes of modern medicine. The SARS-CoV-2 epidemic, during which vaccination is the main method of prevention against death and severe disease, gave rise to a resurgence of anti-vaccine movements. The aim of this study was to analyse the attitudes of students towards vaccination and the COVID-19 pandemic. The statistical analysis was performed with the use of the following data-mining methods: correspondence analysis and basket analysis. The obtained results show that students of medicine are (...) characterized with the highest level of knowledge. Students of other medical faculties, on the other hand, have a significantly less uniform views, as do students of non-medical faculties. (shrink)