Wyniki wyszukiwania - Biblioteka Nauki

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The Influence of Aerobic Power on Repeated Anaerobic Exercise in Junior Soccer Players

100%

Cipryan L. , Gajda V.

Journal of Human Kinetics

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2011

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tom 28

63-71

EN

The main purpose of the present study is to investigate the relationship between anaerobic power achieved in repeated anaerobic exercise and aerobic power. The study group consisted of 40 soccer players (age 17.3 ± 1.36 years). All participants performed 3 tests: a running-based anaerobic sprint test (RAST), a graded treadmill test (GXT), and a multistage fitness test (20mPST). A statistically significant correlation was found among peak power in the GXT and the maximum (r = 0.365, p=0.02), minimum (r=0.334, p=0.035) and average (r=0.401, p=0.01) power in the RAST. No relationships were found between VO2max obtained from both aerobic tests and any performance indices in the RAST. A statistically significant correlation was found between the VO2max obtained from the spiroergometry examination (GXT) and the calculated VO2max of 20mPST (r=0.382, p=0.015). In conclusion, the level of VO2max does not influence the performance indices in the RAST in elite junior soccer players. It is possible that the modification of anaerobic test protocol or a more heterogeneous study group would influence the results. The estimation of the VO2max in the 20mPST is too inaccurate and should not replace the laboratory spiroergometry examination.

2

DEPENDENCIES OF SPEED ABILITIES AND PHYSICAL DEVELOPMENT OF CHILDREN AT THE AGE OF 6 – 7 YEARS

100%

Čillík I. , Willwéber T.

Journal of Physical Education & Health - Social Perspective

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2017

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tom 6

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nr 9

5-11

XX

In this article, we present the results of selected parameters of the running speed of young school children. The aim of this research is to determine the dependence of parameters of speed abilities and physical development of 6 – 7 year old children. The sample consisted of 67 probands (42 boys and 25 girls) with a decimal average age of 6.72 ±0.3 year. We used the test 4 x 10m shuttle run with changes of direction for diagnostics of running speeds. We used the test of lower-limbs frequency in 6s to find out the parameters of movement frequency. We established basic somatic parameters: body height, body weight, BMI. All obtained results were compared with each other and evaluated using correlation analysis. We stated that in somatic parameters high statistical dependence was recorded (p < 0.01), which we consider as a natural developmental indicator. In the group of girls, we recorded a slightly shorter contact time with the pad; however, a significantly longer flight time with single stride cycles. In intrasexual comparison, we recorded statistical significant difference in flight time and in stride frequency (p < 0.05). Boys achieved a higher stride frequency and a shorter flight phase, so they also achieved a higher number of step cycles. In the group of boys, we recorded statistical dependence (p < 0.01) between a running speed with changes of direction and stride frequency.

3

Estimating Maximal Heart Rate with the ‘220-Age’ Formula in Adolescent Female Volleyball Players: A Preliminary Study

86%

Nikolaidis P. T. , Padulo J. , Chtourou H. , Torres-Luque G. , Afonso J. , Heller J.

Human Movement

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2014

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tom 15

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nr 3

166-170

EN

Purpose. Although maximal heart rate (HRmax) is used widely to assess exercise intensity in training, there are limited data with regards to the validity of age-based prediction equations of HRmax in volleyball players. Therefore, the aim of the present study was to compare the measured-HRmax of two prediction equations (Fox-HRmax = 220 − age and Tanaka-HRmax = 208 − 0.7 × age) in young female volleyball players. Methods. The study involved 47 volleyball players (age 13.39 ± 2.01 years, body mass 54.0 ± 10.8 kg, height 162.7 ± 10.2 cm) who performed a graded exercise field test (20 m shuttle run endurance test) to assess HRmax. Measured-HRmax values were compared with the Fox and Tanaka prediction equations. Results. The results showed that mean scores for HRmax significantly differed between measured and predicted values (p < 0.001, ŋ2 = 0.49). Post-hoc tests revealed that Fox-HRmax overestimated measured-HRmax (mean difference 5.7 bpm; 95% CI [3.0, 8.5]), whereas Tanaka-HRmax was similar to measured-HRmax (-2.2 bpm; 95% CI [-4.9, 0.4]). HRmax did not correlate with age (r = 0.16, p = 0.291). Conclusions. The results of this study failed to validate the widely used ‘220−age’ formula in volleyball players. Coaches and fitness trainers should take into account that the overestimation of HRmax by the Fox equation might lead to prescribing exercise at a higher intensity than what is targeted. Therefore, the Tanaka equation appears to offer a more accurate prediction equation of HRmax than the Fox equation in young female volleyball players.

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Balance disorders caused by running and jumping occurring in young basketball players

72%

Struzik A. , Zawadzki J. , Pietraszewski B.

Acta of Bioengineering and Biomechanics

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2015

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tom Vol. 17, no. 2

103--109

EN

Purpose: Body balance, as one of the coordination abilities,is a desirable variable for basketball players as regards the necessity of efficient responses in constantly changing situations on a basketball court. The aim of this study was to check whether physical activity in the form of running and jumping influences variables characterizing the process of keeping body balance of a basketball player in the standing position. Methods: The research was conducted on 11 young basketball players. The measurements were taken with a Kistler force plate. Apart from commonly registered COP displacements, an additional variable describing the process of keeping body balance by a basketball player was ankle joint stiffness on the basis of which an “Index of Balance–Stiffness” (IB-S) was created. Results: Statistically significant differences were obtained for the maximum COP displacements and ankle joint stiffness between measurements of balance in the standing position before and after the employed movement tasks whereas there were no statistically significant differences for the aforementioned variables describing the process of keeping balance between measurements after running and after jumping. Conclusions: The research results indicate that the employed movement activities brought about significant changes in the process of keeping balance of basketball player in the standing position which, after the run performed, remain on a similar level to the series of jumps being performed. The authors attempted to establish an index based on the stiffness which yields a possibility to perceive each basketball player as an individual person in the process of keeping balance.