Announcement of Retraction

The editorial board announced this article has been retracted on February 2, 2020.If you have any further question, please contact us at: [email protected] Title: Effect of Ballistic Warm-Up on Isokinetic Strength, Balance, Agility, Flexibility and Speed in Elite Freestyle WrestlersAuthor/s: Ebru Çetin, Celal Bulğay, Sezen Çimen Polat, Halil İbrahim Cicioğlu, İmdat YarimJournal Title: Journal of Education and Training StudiesISSN 2324-805X   E-ISSN 2324-8068Volume and Number: Vol. 6, No. 11, 2018Pages: 143-149DOI: 10.11114/jets.v6i11.3635                

Effect of Ballistic Warm-up on Isokinetic Strength, Balance, Agility, Flexibility and Speed in Elite Freestyle Wrestlers

The aim of this study is eff ect of ballistic warm-up on isokinetic strength, balance and some parameters in male elite freestyle wrestlers. Thirteen elite freestyle wrestlers at the age of 20.15±2.11 yrs, with 174.54±7.14 cm height and 81.67±15.36 kg weight participated in the study. Measurements were performed two diff erent warm-up protocols. Running protocol at submaximal level on the treadmill for 10 minutes was applied for every wrestler. Ballistic Warm-up protocol involved 13 diff erent movements for multi-muscle groups lasting for 10 minutes. Flexibility, speed, agility, balance, hand grip and isokinetic leg strength parameters were measured. Wilcoxon Signed Rank test was performed to fi nd the diff erence between the protocols. Consequently, diff erences were found in fl exibility, right hand grip strength, right posteromedial and posterolateral balance, left posteromedial and posterolateral balance, left and right hamstring and quadriceps strength parameters. Ballistic warm-up protocol can be more eff ective in many parameters, especially strength compared to ordinary warm-up

Blood Lactate Level Responses and Comparison with Submaximal Running and Roller Skiing in Cross-Country Skiers

The purpose of this study is to examine the effect of 30-minute duration submaximal running and roller skiing exer- cises, which are among the most important aerobic exercise models in cross-country skiers, on lactic acid levels. The study group comprised 6 female and 4 male athletes (age: 16.87±1.87years, body height: 168.35±5.66 cm, body weight: 56.83±7.1kg) who competed in cross-country skiing at national and international level. All athletes participated in the study voluntarily. Measurements were performed three times as basal (1st measurement), immediately after exercise (2nd measurement) and 5 minutes after finishing exercise (3rd measurement).Statistical analysis was conducted using SPSS (version 11.5). A significant increase (P<0.01) in lactic acid levels was found for both 30-minute submaximal exercise types; however, this effect did not differ statistically between groups. Running exercises caused greater fatigue than ski- ing exercises, according to percentage values, but the difference in fatigue levels between exercise types was not statisti- cally significant

Blood Lactate Level Responses and Comparison with Submaximal Running and Roller Skiing in Cross-Country Skiers

The purpose of this study is to examine the effect of 30-minute duration submaximal running and roller skiing exer- cises, which are among the most important aerobic exercise models in cross-country skiers, on lactic acid levels. The study group comprised 6 female and 4 male athletes (age: 16.87±1.87years, body height: 168.35±5.66 cm, body weight: 56.83±7.1kg) who competed in cross-country skiing at national and international level. All athletes participated in the study voluntarily. Measurements were performed three times as basal (1st measurement), immediately after exercise (2nd measurement) and 5 minutes after finishing exercise (3rd measurement).Statistical analysis was conducted using SPSS (version 11.5). A significant increase (P<0.01) in lactic acid levels was found for both 30-minute submaximal exercise types; however, this effect did not differ statistically between groups. Running exercises caused greater fatigue than ski- ing exercises, according to percentage values, but the difference in fatigue levels between exercise types was not statisti- cally significant

New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey

5th Cyprus International Conference on Educational Research (CYICER) -- MAR 31-APR 02, 2016 -- Univ Kyrenia, Kyrenia, CYPRUSWOS: 000462228400002Aerobic endurance describes the ability of the body's cardio-respiratory system to perform physical activity for an extended period of time and resist fatigue. Standard tests to determine aerobic endurance involves measuring the maximum volume of oxygen (VO(2)max) an athlete uses up while exercising at maximal capacity. Given that the tests of direct measurement of VO(2)max needs expensive equipment, a great deal of time, and trained staff with expertise, many researchers have attempted to find indirect and simpler ways of predicting VO(2)max based on prediction equations. The aim of this study is to establish new prediction equations for estimating the VO(2)max from gender, age, height, weight, body mass index (BMI), maximal heart rate (HRmax) and test time (TT) for college-aged students in Turkey. Particularly, 18 students from the College of Physical Education and Sports at Gazi University volunteered for this study. Gender has been used as a common predictor variable in all prediction models. By using different combinations of the rest of predictor variables together with the common predictor variable, twelve VO(2)max prediction equations have been established with the help of Multiple Linear Regression (MLR). The performance of the prediction equations have been evaluated using two well-known metrics, namely standard error of estimate (SEE) and multiple correlation coefficient (R). The results reveal that the regression equation, VO(2)max = - (12.331 x gender) - (0.805 x age ) + (0.883 x height) - (1.167 x weight) - (0.052 x HRmax) - (0.158 x TT) + 6.473, gave the lowest SEE (i.e. 3.49 mL.kg(-l).min(-1)) and the highest R (i.e. 0.88). Application of this VO(2)max regression equation on an independent validation group including 6 subjects yielded an SEE of 6.24 mL.kg(-l).min(-l) it can be concluded that in situations where it is difficult or even not possible to measure VO(2)max using exercise tests, coaches and trainers may use the given equation to predict VO(2)max of College of Physical Education and Sports students with acceptable error rates