| dc.contributor.author | BYSHEVETS, NATALIIA | |
| dc.contributor.author | ANDRIEIEVA, OLENA | |
| dc.contributor.author | GONCHAROVA, NATALIIA | |
| dc.contributor.author | HAKMAN, ANNA | |
| dc.contributor.author | ZAKHARINA, IEVGENIIA | |
| dc.contributor.author | SYNIHOVETS, IHOR | |
| dc.contributor.author | ZAITSEV, VOLODYMYR | |
| dc.date.accessioned | 2023-11-29T17:11:28Z | |
| dc.date.available | 2023-11-29T17:11:28Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Byshevets, N., Andrieieva, O., Goncharova, N., Hakman, A., Zakharina, I., Synihovets, I., & Zaitsev, V. (2023). Prediction of stress-related conditions in students and their prevention through health-enhancing recreational physical activity. Journal of Physical Education and Sport, 23(4), 937-943. | uk_UA |
| dc.identifier.uri | https://archer.chnu.edu.ua/xmlui/handle/123456789/8362 | |
| dc.description.abstract | Introduction. Persistent negative mental-emotional experiences and the body's responses to stress may have a
negative impact on physical condition and mental-emotional status of students and provoke behavioral disorders.
Health-enhancing recreational physical activity helps to cope with the negative influence of stress factors. The
study was focused on the prediction of stress-related conditions in students and their prevention through healthenhancing recreational physical activity (HRPA). The aim of the study was to develop predictive models for
assessing stress-related conditions among students and to identify the opportunities for their prevention through
engagement in health-enhancing recreational physical activity based on the assessment of the relationship
between physical activity and emotional status. Material & methods. The study involved 573 higher education
students from various regions of Ukraine. The following methods were applied: surveying, statistical analysis
using non-linear estimation methods and statistical classification methods based on data mining and machine
learning methods, such as neural networks. Results. Statistically significant (p<0.05) logistic binary models were
developed and scientifically substantiated, which can be used to predict stress-related conditions among higher
education students based on data about their HRPA and behavioral characteristics in a long-term stressful
situation. According to the survey data, the military conflict on the territory of Ukraine has provoked the
emergence of emotional distress in 80.8% of respondents. It was found that regular engagement in HRPA and an
active lifestyle allows predicting the maintenance of emotional well-being among students with a probability of
78.0%. Conclusions. The behavioral disorders in higher education students combined with lack of HRPA during
the period of armed conflict on the territory of Ukraine significantly increase their risk of anxiety,
aggressiveness, depressive states, and mood swings as well as lead to deterioration in physical condition and
mental-emotional status. An active lifestyle, regular engagement in health-enhancing recreational physical
activity, and cessation of bad habits increase students' adaptability to the impact of stress factors. | uk_UA |
| dc.subject | physical activity, stress, status, disorders, behavior, correction, well-being, logit models | uk_UA |
| dc.title | Prediction of stress-related conditions in students and their prevention through health-enhancing recreational physical activity | uk_UA |
| dc.type | Article | uk_UA |
