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THE ROLE OF SOCIO-ECONOMIC BACKGROUND VARIABLES IN NETFIT MEASUREMENT
33-44Views:200Assessment of physical indicators and motor skills is the Hungarian National Unified Student Fitness Test (hereinafter referred to as "NETFIT"), which was introduced in public education from the 2013/14 academic year, which aims to demonstrate the effects of everyday physical education on the fitness and physiological parameters of students. When showing the national results of the tests, it is also shown that the fitness condition is determined by the genetic conditions, the family background and the environment (Csányi et al., 2015, Csányi and Kaj 2017) so results can be interpreted in a common context of these factors. In our research, we aimed at examining NETFIT data from Budapest secondary school students, supplemented by family background surveys. During our research, we sought to find out how the fitness profile of boys studying at the Budapest Technical Vocational Training Center is based on the results of the NETFIT tests. What is the relationship between family background and NETFIT performance? Our survey was carried out at one of the largest schools of the Budapest Technical Vocational Training Center at the Technical Training Center in Újpesti Two Teaching Grammar School and Technical College of the Budapest Technical Vocational Training Center. A total of 342 pupils were included in the study, where a questionnaire of 35 questions was used to investigate the correlations of NETFIT results and socioeconomic background indicators. Numerous studies have shown that the more favorable SES students have generally more favorable fitness indicators (Jiménez-Pavon et al., 2010, Ortega et al., 2013, Vandendriessche et al., 2012). There is also a great deal of evidence that country-specific regional status indicators are higher in regions with more favorable SES (Charlton et al., 2014, Golle et al., 2014, Cleland et al., 2009, Welk, Saint-Maurice and Csányi, 2015). During our research, we found that students in need of development mostly come from small communities, with some 58.3% developing. These values differ significantly (khi = 218.6, df = 20, p = 0.000). The basic pillow of the lifestyle is the family (Field 2018), the habits of which shape the child's relationship with sports, and later it is very difficult to change them (Herpain et al., 2017, Herpainé 2018). The study showed that the father's sporting habits are decisive in the case of the examined boy's pupils, but the mother's sporting habit does not have the same effect on the sportsman's behavior. We propose to extend the NETFIT test bundle with the socioeconomic background examination of the examined person.