Modeling of adaptive states in athletes developing local-regional muscle endurance in conditions of plain and middle altitude

Objective: to model adaptive states in athletes for development of local-regional muscle endurance. Materials and methods: the research was conducted in two variants:4-stage ergospirometry with 60, 120, 180, 260 Wt power at pedal rotation speed 60 per minute, registration of restitution period up to 5 minutes. Simulation modeling “shadow-fighting” (2-minute intensive fight and 2-minute recreation - 3 cycles). Telemetric registration of ergospirometric data (spirography, 12-lead EKG). Results: we attempted to elaborate system of LRME development that would maintain organism reserves till main starts. We also attempted to develop model of middle-distance runner. Critical analysis of international experience in runner training was performed. Findings: modeling of adaptive states in sportsmen developing LRME in conditions of plain and middle altitude is a complex problem that should be solved at the intersection of theory and practice of sports training, physiology, biomechanics and biochemistry of sports. Solution also involves aggregate of motor actions, their variability and mobility as well as adequate changes in state and fitness level. Analysis and correction by feedback allows of choosing the proper mathematical tools. In our research we used statistical program SPSS-17 that through variance analysis allows of actuating processes of modeling and forecasting of adaptation and sports performance procedures.