Changes in physical activity indicators of Ukrainian students in the conditions of distance education

Андрєєва, Олена; Byshevets, Nataliia; Hakman, Anna; Grygus, Igor

doi:10.15391/prrht.2023-8(2).01

Cited by 6 publications

(8 citation statements)

References 18 publications

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“…The fact that gender did not turn out to be a significant factor affecting the stress-related condition of the category of youth under research was an interesting and unexpected result for us. This contradicts not only the data given in scientific sources (Pavlova et al, 2022;Rogowska &Pavlova, 2023;Levin et al, 2022;Petrachkov et al, 2023) but also our previous research where we found that female students reported symptoms of stress-related conditions more often than male students (Andrieieva et al, 2023;Byshevets et al, 2023). It is important to note that in previous research, either a separate comparative analysis of indicators of stress-related conditions depending on gender was carried out, or there was used the data obtained by respondents' reporting on the regularity of their activity (No/Rather not/Rather yes/Yes), but the results of measuring the level of their PA according to the IPAQ were not taken into account.…”

Section: Discussioncontrasting

confidence: 98%

“…As shown by the results of previous research (Andrieieva et al, 2023;Byshevets et al, 2023), the level of stress-related conditions of students is determined by numerous factors, including controlled and uncontrolled ones. Some of them increase the risk of stress-related conditions of students, while others allow them to counteract the negative consequences of stress factors.…”

Section: Resultsmentioning

confidence: 98%

“…There are other variables that may moderate or mediate the connection between gender and stress. One of these variables is the level of PA which can mitigate the effects of stress factors, as indicated by the results of numerous scientific research, including ours (Andrieieva et al, 2022(Andrieieva et al, ,2023Byshevets et al, 2023;Kashuba et al, 2021;Steinacker et al, 2023). Therefore, due to the equally positive impact on stress regardless of gender, physical activity can be a factor that alleviates differences in the reaction to stress factors between students of different genders.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, it has become an issue particularly actively discussed by experts in the different fields (Limone et al, 2022). Our previous research shows that the field of physical education (PE) also has an inexhaustible potential to help students counteract powerful stress factors (Andrieieva et al, 2023;Byshevets et al, 2022Byshevets et al, , 2023. So far, we have been able to make sure that the use of PA helps students develop stress resistance, causes the development of resistance to anxiety, and prevents the emergence of posttraumatic stress disorders (PTSD).…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Physical Activity on Stress-associated Conditions in Higher Education Students

Byshevets,

Andrieieva,

Dutchak

et al. 2024

Teor. metod. fiz. vihov.

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Objectives. The purpose of the study was to substantiate the influence of physical activity on stress-associated conditions in higher education students. Materials and methods. The dataset for building the models consisted of 1115 observations, 16 independent and 3 dependent variables. As the main method we used the random forest method, the idea of which is to obtain a forecast by aggregating the predictions of a set of individual decision trees, each of which is trained on a data subset isolated from the studied sample. Results. Physical activity (PA) was found to be the most important factor in predicting stress-related conditions in university students. In addition, PA levels involving moderate and high levels of energy expenditure, as well as the number of stressful events experienced, played a significant role in predicting stress among students. In order to predict stress-related conditions in higher education students, the models “Stress”, “Increased anxiety”, and “Risk of PTSD” were built using the random forest method. The model “Stress” had the highest quality: its Accuracy was 0.77, Recall – 0.86, Precision – 0.79, and F1 Score – 0.82. The “PTSD Risk” model correctly predicted 78% of cases that indicates its good overall performance, however it correctly identified only 23% of the students who actually had the signs of this disorder. Regarding the state of anxiety, given that it is less stable than stress and PTSD, which can make model training difficult, the model built had an average accuracy of 56%, as well as reduced completeness and balance. Conclusions. Models for predicting increased anxiety and identifying students with signs of PTSD require further improvement. The implementation of developed models allows to quickly identify the manifestations of stress-related conditions in higher education students and to take the necessary measures based on the engagement in PA to prevent the development of stress-related disorders.

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Section: Discussioncontrasting

confidence: 98%

Section: Resultsmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Influence of Physical Activity on Stress-associated Conditions in Higher Education Students

Byshevets,

Andrieieva,

Dutchak

et al. 2024

Teor. metod. fiz. vihov.

Self Cite

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“…Among the most effective measures for overcoming stress among student youth, scientists single out participation in health and recreational activities, meditation, breathing practices, and physical exercises (Andrieieva et al, 2023;Hakman et al, 2020). Among the scientific community, there is widespread opinion about the benefits of using mental fitness tools, such as yoga and Pilates (Shelikhova et al, 2021), to reduce the effects of adverse stressors in university students (Kashuba et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Application of mental fitness tools in the prevention of stress-associated conditions of female students of higher education establishments

Andrieieva,

Byshevets,

Kashuba

et al. 2024

Fìz. reabìl. rekreac.-ozdor. tehnol.

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Purpose: to check the effectiveness of the use of mental fitness tools for the prevention of stress-related conditions of female students of higher education establishments. Material & methods: 56 female students, average age 19.5 ± 1.5 years, participated in the study. The main group (MG) included 34 participants who, for 6 months, practiced mental fitness twice a week for 80 minutes. 22 female students who formed the control group (CG) practiced the physical education program of a higher education institution twice a week for 80 minutes during the same period. The following research methods were used: analysis, synthesis, generalization, pedagogical experiment, survey, modelling, statistical analysis using correlation analysis, comparative analysis, effect assessment method, non-linear assessment methods, model quality assessment methods. Results: the positive experience of implementing mental fitness programs into the practice of physical activity of higher education students is summarized. It was established that 71.4% of female students complain of mood swings, 60.7% – of anxiety, and 39.3% – of depressive states. After the study, 71.4% of female students indicated that their mood improved, 67.9% reported an improvement in physical condition, and 57.1% focused on reducing stress levels. It has been proven that there are statistically significant (p<0.05) correlations between the manifestations and indicators of stress-related conditions of students, the largest of which was recorded between the signs of PTSD and the indicators that determine stress-related conditions. Depending on the mental fitness classes, after the study there was a statistically significant (p<0.05) reduction in PTSD symptoms, improvement in mood and well-being compared to CG students. After the study, the prevent post-traumatic stress disorders (PTSD) risk score for CG students was higher by 1.64 standard deviations compared to MG students. A statistically significant (p<005) logistic binary model was developed, improved and scientifically substantiated, which, based on data on well-being, allows predicting whether a student is engaged in mental fitness. It has been proven that despite its lower predictive ability compared to other developed models, it has such advantages as statistically significant coefficients (p < 0.05), the ability to predict whether a student is engaged in mental fitness with 88.2% accuracy using only data on well-being, retention high prognostic ability with a significant simplification of the model. This shows that the developed model is the best choice for practical application. Conclusions: it is advisable to introduce mental fitness tools into the practice of health-recreational motor activity of female students in order to improve mood, work capacity and well-being, and, as a result, PTSD.

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The levels of physical activity, physical fitness self-assessment, and physical working capacity in school students of the modern time

Andrieieva,

Dudko,

Martyn

et al. 2024

PCS

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The article presents the results of evaluation of physical activity, physical fitness, and physical working capacity in 13-14-year-old boys. The following methods and techniques were used: theoretical analysis of specialized scientific and methodological literature authored by Ukrainian and foreign researchers, physiological methods (assessment of physical working capacity), methods for assessing physical activity (Framingham Physical Activity Index), self-assessment of physical fitness (E. Bochenkova’s method), and mathematical statistics. It was found that most of the adolescents who participated in the study did not have a proper level of physical activity. In our study, no participants with a high level of physical activity were identified. Nevertheless, only two participants (10%) had a very low level of physical activity (less than 30 points). Among the participants, 55% had a low level of physical activity (34.5 points on average), and the remaining 35% had a moderate level of physical activity, but were mostly at its lower limit (37 points). The assessment of physical working capacity using the Ruffier test showed that 35 % of the adolescent boys had a moderate level, 45 % had a lower than moderate, and 20 % had a low working capacity. An overestimated level of self- assessment of physical fitness was observed in only 5% of the subjects, 20% of the study participants had high self-assessment, 65% had a moderate level, and 10% a low level of self-assessment. The insufficient level of physical activity, moderate physical working capacity, and the moderate level of self-assessment of physical fitness necessitate the search for and substantiation of affordable, effective, attractive, and innovative approaches to engaging this population into regular physical exercise.

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Changes in physical activity indicators of Ukrainian students in the conditions of distance education

Cited by 6 publications

References 18 publications

The Influence of Physical Activity on Stress-associated Conditions in Higher Education Students

The Influence of Physical Activity on Stress-associated Conditions in Higher Education Students

Application of mental fitness tools in the prevention of stress-associated conditions of female students of higher education establishments

The levels of physical activity, physical fitness self-assessment, and physical working capacity in school students of the modern time

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