Infertility is a global problem affecting 48 to 186 million couples of reproductive age. In Poland, it concerns approx. 1.5 million couples, which amounts to 20% of the population capable of reproducing. One of the factors influencing the incidence of fertility disorders may be lifestyle, understood as a multi-disciplinary accumulation of everyday behaviours and habits. In the study, a group of 201 young adults, students of medical and related faculties, were surveyed in order to check the actual level of knowledge (...) about the impact of lifestyle on reproductive health. The Kohonen network, which is an example of a self-learning neural network, was used to find non-obvious connections between the data. The trained Kohonen neural network formed 4 clusters with different characteristics. Based on analyses of the structure of each cluster, it was found that 2nd year students of Medicine are internally divided into 3 fractions. The first fraction declared a high level of knowledge, but did not have real knowledge. The second fraction was aware of their ignorance, as confirmed by the knowledge test. The last fraction was characterized by a high level of self-confidence regarding their knowledge about reproductive health and obtained a high result in the knowledge test. It was confirmed that people studying at the Medical faculty know more than students of the same year at faculties other than Medicine. Interesting results were obtained for a group of 3rd year students of first-cycle studies in Dietetics. They did not obtain a significantly better result in the knowledge test concerning the influence of diet and lifestyle on reproductive health. It would seem that one could expect at least a few highly knowledgeable students in a group of 3rd year students, but this was not confirmed by the study. In view of the obtained results, it was concluded that the Kohonen neural network is applicable to the analysis of data on the actual state of knowledge about the impact of lifestyle on reproductive health. (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)

The development of health sciences along with the continuous technological progress contribute to the emergence of web applications. There exist many applications supporting the work of doctors, whereas the market definitely lacks solutions supporting the work of nurses. This is particularly evident in long-term geriatric home care, in which the nursing specialization is developing rapidly. Care of elderly patients requires the nurse to collect medical documents from each visit. Considering the large number of diseases affecting elderly people and the number (...) of required visits – which should exceed 4 a week – a decision was made to develop an Internet application supporting the work of nurses in long-term geriatric care. The application facilitates the process of geriatric patient description in order to eliminate the need for filling in paper medical records. This study presents the method of developing an Internet application supporting the work of nurses in long-term geriatric care. The software was developed based on an analysis of conclusions from a social study carried out in a group of 42 nurses providing geriatric long-term home medical care services in the district of Białystok, Poland. The aim of the study was to determine the features, functionality, and declarative interest in using the software. Conclusions from the analysis indicated that the attempt to develop the application had been justified. Moreover, conclusions from the social survey formed the basis for formulating the design assumptions. The web application was developed in the following technologies: HTML 5, CSS3, JavaScript, PHP 7, and MySQL. First, a prototype of the solution was tested in a XAMPP environment. After successful tests, the app was tested in a nursing practice. The obtained test results raise high hopes for potential commercialization of the application. (shrink)