The impact of a health and recreational physical activity program on the physical fitness indicators of cyber athletes

Abstract

Abstract: The article provides data on the analysis of physical fitness indicators of cyber athletes and the effective impact on them of the application of a health and recreational physical activity program. The purpose of the study is to analyze the effectiveness of using a health and recreational physical activity program to increase the physical fitness indicators of cyber athletes. Research methods – theoretical analysis, generalization of scientific and methodological, special literature, documentary materials and information from the Internet; system analysis method; pedagogical methods (testing; ascertaining and transforming experiment), expert assessment method; methods of assessing physical condition, methods of mathematical statistics. The study lasted 6 months. 35 eSports athletes participated in the study. Research results. Analysis of physical fitness indicators of cybersports players showed that about 80.0% of participants had a low level of development of basic motor skills, which is consistent with the data of previous studies and confirms the tendency to deterioration of physical fitness of cybersports players due to their low motor activity. An effective means of increasing the level of physical activity is identified as health fitness, which is the leading component of health and recreational physical activity aimed at increasing the level of physical condition. The development of the training program was based on the results of an ascertaining experiment, an expert assessment, according to which the physical condition of cyber athletes has the greatest impact on achieving high sports results (W = 0.88; χ² = 55.74). Conclusions. The results of the experiment confirmed the effectiveness of the implemented program: statistically significant (p < 0.05) improvements in all components of the physical fitness of cyber athletes were recorded. The greatest increase was observed in the flexibility indicator – 12.82% (p < 0.05), endurance indicators increased by 5.98% (p < 0.05), the level of strength development – by 6.64% (p < 0.05), speed qualities – by 3.56% (p < 0.05), coordination abilities – by 5.52% (p < 0.05). Keywords: health fitness, program, physical activity, esports, physical condition, preparedness, applicants.