The relationship between biomechanical and physiological parameters in ice hockey players with different performance levels in the short sprint

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Dr. Med., Professor M.M. Lapkin1
Associate Professor I.M. Mazikin2, 3
Associate Professor M.V. Akulina1
Associate Professor N.A. Kulikova1
1Ryazan State Medical University named after academician I.P. Pavlov, Ryazan
2Moscow State University of Sports and Tourism, Moscow
3Sechenov First Moscow State Medical University, Moscow

Objective of the study is to identify the nature and extent of the relationship between the physiological and biomechanical characteristics of ice hockey players with varying performance levels in short-distance sprints.
Methods and structure of the study. The study involved 44 ice hockey players aged 18-19 (categories I-II) from sports schools in Moscow. The study design comprised three consecutive stages: assessment of speed qualities (30- and 60-metre runs, Optogait) and physical fitness (PWC170, Corival Lode cycle ergometer, Polar H10); isokinetic testing of hip muscle strength balance (60°/s); statistical analysis using the Shapiro–Wilk and Mann-Whitney tests and Spearman’s correlation coefficient (Statistica 12).
Results and conclusions. Cluster analysis identified two groups: high- and low-performing (p<0.001). Significantly higher performance indicators were found for the 30- and 60-metre runs, PWC170, and maximum strength of the quadriceps and biceps muscles (p<0.01), as well as lower lateral asymmetry and better functional balance in athletes from the high-performance cluster (p<0.05). Correlation analysis revealed fundamental differences in the structure of relationships within the high-performance group compared to the low-performance group. In the low-performance group, the priority is on reducing lateral asymmetry and correcting functional balance; in the high-performance group, it is on developing strength qualities whilst maintaining intermuscular coordination.

Keywords: ice hockey players, biomechanical characteristics, short sprint, physical performance, cluster and correlation analysis.

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