Abstract
Abstract 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.
Highlights
Free access to the Internet has changed the world and its functioning
The products consumed daily are a source of vitamins and minerals, as well as anti-nutritional substances. Another aspect important in the context of reproductive health is the nutritional status as malnutrition, just as excessive body weight, can cause problems with becoming pregnant (Becker et al, 2015; Gambineri et al, 2019; Suliga & Głuszek, 2019)
Diet is an element that determines whether a woman can get pregnant or not. Such diet-related diseases related to fertility include: Polycystic Ovary Syndrome (PCOS), diabetes, insulin resistance, obesity, hypothyroidism, or inflammatory bowel diseases (Becker et al, 2015; Gambineri et al, 2019; Maliszewska et al, 2017; Zawiejska et al, 2016)
Summary
Free access to the Internet has changed the world and its functioning. The Internet is one of the places from which information is obtained, ISSN 0860-150X which is not always adequate or confirmed. Diet is an element that determines whether a woman can get pregnant or not Such diet-related diseases related to fertility include: Polycystic Ovary Syndrome (PCOS), diabetes, insulin resistance, obesity, hypothyroidism, or inflammatory bowel diseases (Becker et al, 2015; Gambineri et al, 2019; Maliszewska et al, 2017; Zawiejska et al, 2016). In each of these diseases, different types of food are considered as “nutrition for fertility”; it is very important that information on how to improve a person’s reproductive health should be obtained from a reliable and proven source. 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 the respondents’ knowledge about fertility and the impact of diet on fertility
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
