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Showing 3 results for توان هوازی

Mohamad Hadi Ghasemi, Mohamad Fashi,
Volume 16, Issue 15 (9-2018)
Abstract

The aim of present study was comparison of advanced physical fitness profile between Olympic soccer team members of Iran according to playing position. 29 Invited soccer players to the 17th national Olympic soccer team of Iran dispatched to 17th Asian Olympics Games, Incheon 2014 )mean age of 20.39± 2.01 yrs(, divided into five group of goalkeepers, defenders, midfield players, wingers and attackers according to playing position participated in the study. Body composition parameters (including body mass index, body fat percentage), isokinetic force (peak torque, agonist/antagonist ratio, work fatigue, total work of extension and flexion), aerobic power by analysis of respiratory gases and anaerobic power and fatigue index by Wingate test were packaged for data collection. Descriptive statistics (i.e., mean ± standard deviation) and inferential statistics (i.e., one way ANOVA with Hopkins post hoc after subtracting data  of pre- post) used for analysis data. While it was unbelievable the findings did not show any significant difference between five groups of present study. It seems that Olympic soccer team players of Iran has not prepared in a conditioning principle and based on playing position for participate in 17th Asian games. Moreover it supposed that national players spent most of the preparation periods & specific based conditioning workouts on their clubs, hence due to the short time of conditioning in the national camps trainings, players have not dispatched to the games with favorable preparation.
 

Majid Jalili, Farzad Nazem, Akbar Sazvar,
Volume 16, Issue 16 (12-2018)
Abstract

Aerobic power (VO2max) is an important indicator of the health and physical fitness. Executive problems in direct VO2max measurement has led to developing sub-maximal aerobic power prediction equations. The purpose of present study was to develop native aerobic power prediction equation based on 6-Minute Walk Test (6MWT) and body composition indices in children. In 192 healthy children (8 to 12 years) VO2max was objectively measured by Bruce treadmill protocol with gas analysis. The 6MWT was performed according to ATS guidelines. Also, anthropometric measurements were measured according to standard methods. Multiple regression analysis was used to design aerobic power (ml/kg/min) prediction equation. Accuracy of native VO2max prediction equation was assessed by Pearson correlation and Bland-Altman approach between measured and predicted VO2max. Significant correlation was observed between direct VO2max and independent variables (r=0.25-0.734). Aerobic power of the boys could be predicted by weight and 6MWT according to the following equation: VO2max(ml/kg/min)= 5.359 + (0.067 × 6MWD m) – (0.286 × Weight kg) (r2=0.743, SEE=2.74 ml/kg/min, p≤0.001). Strong correlation was observed between measured and predicted VO2max (r=0.861, P≤0.001). In addition, Bland and Altman plots demonstrated a high degree of consistency between measured and predicted VO2max. Exercise and fitness coaches by utilization of native aerobic prediction equation based on the 6MWT and weight could be able to assess the aerobic power of the boys and to evaluation of the effects of exercise training on cardio-respiratory fitness.



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