Effect of postural balance on changes in the electrocardiography parameters of wrestlers

© 2018 Human Sport Medicine.All rights reserved. Aim. The article deals with forecasting electrocardiogram changes (ECG) in athletes using stabilometric parameters. Materials and methods. 77 elite athletes aged 16-18 participated in the study (Candidate for Master of Sport, Master of sport: judo, taekwondo). To reveal cardiac conductivity disturbances and heart rhythm disorders, we used veloergometry. To assess postural balance, we used stabilometric equipment. Results. We registered incomplete right bundle branch block (IRBBB) in 5 athletes (22.72 %), extrasystoles - in 10 athletes (45.45 %), early repolarization syndrome (ERS) - in 3 athletes (13.63 %), sinoatrial block (SB) - in 2 athletes (9.09 %), pacemaker migration - in 2 athletes (9.09 %). The standard deviation of center of pressure (CoP) in the frontal plane in athletes with ECG changes in the natural standing position exceeded values of athletes without ECG changes by 94.93 % with the eyes opened; by 121.09 % with the head turned to the left; by 71.05 % with the head turned to the left and the eyes closed; by 61.98 % with the head turned to the right. We built a mathematical model. Conclusion. We studied the peculiarities of ECG changes in athletes. The parameters of stabilometry in athletes both with and without ECG changes were statistically significant (p < 0.05). With the help of stabilometric data, we created Random Forest model for forecasting possible ECG changes such as cardiac conductivity disturbances and heart rhythm disorders

Physical development of hockey players aged 13-16 years

Aim. Identify the age features of hockey players aged 13-16 years old physical development. Material and methods. Elite hockey players (n = 83, age - 13-16 years) were surveyed. Standard anthropometric methods for measuring length and body weight were used. The body mass index (BMI) was calculated. Results. The average value of the body length of hockey players did not differ from peers, who do not engage in sports. The cental distribution of the absolute values of the indicator relative to nomograms has been shifted to the right. Most hockey players had average body lengths. The excess of the average body weight of hockey players was recorded in comparison with the average population values. The cental distribution of absolute values was characterized by a significant shift to the right (range 3% -90% percentile). Most hockey players had a body weight “above average” (55-66%). The group of athletes with body weight and BMI “below average” was 6% (age from 13 to 15 years). Conclusions. The physical development of elite hockey players is characterized by an average body length with a tendency to shift to values *above average*. The proportion of hockey players with mean body lengths below the mid-population is very small. Elite hockey players are characterized by large body weight and BMI compared to peers who do not engage in sports. As the age increases from the morphological criteria, the body weight and BMI have the greatest value for the hockey player’s success in sports selection