Paulo E. Redkva, Mauro R. Paes, Ricardo Fernandez and Sergio G. da-Silva
) high-intensity actions (running): actions in which the player reached a speed between 15.9 and 24 km·h -1 ; 2) sprints: actions in which the player reached a speed above 24 km·h -1 .
Results are presented as mean ± standard deviation and confidence intervals of 95% (95% CI). Initially, the Shapiro-Wilk test was used to confirm the data normality (n < 50). To verify the correlation between the results obtained in the YET and RAST with the variables of the soccer matches in the study (total distance covered, maximal running speed, high
Amador García-Ramos, Paulino Padial, Miguel García-Ramos, Javier Conde-Pipó, Javier Argüelles-Cienfuegos, Igor Štirn and Belén Feriche
performance. J Strength Cond Res , 2011; 25: 1951-1956
Vuk S, Markovic S, Jaric S. External loading and maximum dynamic output in vertical jumping: the role of training history. Hum Mov Sci , 2012; 31:139-151
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Adeyemi DO, Komolafe OA, Abioy AI (2009). Variations in body mass indices among post-pubertal Nigerian subjects with correlation to cormic indices, mid-arm circumferences and waist circumferences. The Int J Biol Anthro 2: 65-71.
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Malý Tomáš, Zahálka František, Malá Lucia and Teplan Jaroslav
Sporis G, Milanović Z, Trajković N, Joksimović A. Correlation between speed, agility and quickness (SAQ) in elite young soccer players. Acta Kinesiol, 2011; 5: 36-41
Sporis G, Vucetic V, Jukic I. How to evaluate full instep kick in soccer? J Sports Sci Med, 2007; 10(Suppl): 27
Stølen T, Chamari K, Castagna C, Wisloff U. Physiology of soccer: an update. Sports Med, 2005; 35: 501-536
Strudwick A, Reilly T, Doran D. Anthropometric and fitness profiles of elite players in two football codes. J Sports Med Phys Fitness, 2002
Stanislav Kraček, Petra Pačesová, Pavel Šmela and Miloš Štefanovský
The aim of this paper is to ascertain the correlation between selected cognitive abilities, age and performance of judokas according to ranking. The study group consisted of judokas in the age group 18 ± 2.4 years. The Stroop Color-Word Test - Victoria Version (VST) was the instrument used to determine the level of cognitive abilities. The data obtained were measured by the Pearson Correlation (r) correlation test. The results of the study show an associative relationship of indirect correlation (p < 0.01) between age and all of the three categories of the Stroop test. This is an indirect correlation, so the higher the age, the lower the time (better performance) of the probands in the Stroop test. There was no statistically significant correlation between performance in the categories of the Stroop test and rankings. The outcomes show that the level of selected cognitive abilities depends on age, but the level of the selected cognitive abilities does not affect the ranking of the judokas.
Anna Zwierzchowska, Ewa Sadowska-Krępa, Marta Głowacz, Aleksandara Mostowik and Adam Maszczyk
sensitivity in early rehabilitation of spinal cord injured individuals. Spinal Cord, 2003; 41: 673-679
Dobiášová M, Frohlich J. The plasma parameter log(TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoproteindepleted plasma (FERHDL). Clin Biochem, 2001; 34: 583–588
Ford ES, Croft JB, Posner SF, Goodman RA, Wayne HG. Co-Occurrence of Leading Lifestyle-Related Chronic Conditions Among Adults in the United States, 2002-2009. Preventing Chronic Disease, 2013; 10: 1-12
Gater DR Jr. Obesity
João P. Duarte, Óscar Tavares, João Valente-dos-Santos, Vítor Severino, Alexis Ahmed, Ricardo Rebelo-Gonçalves, João R. Pereira, Vasco Vaz, Susana Póvoas, André Seabra, Sean P. Cumming and Manuel J Coelho-e-Silva
Descriptive statistics were reported (means ± standard deviations) and standard error of the means for the total sample (n=98). Additionally, based on a subsample (n=31), means and standard deviations at time moments 1 and 2 (one week apart) were reported. The intra-class correlation coefficient (ICC) was calculated in parallel to technical error of measurement (TEM) following the equation proposed by Mueller and Martorell (1988) . The coefficient of variation (%CV and respective 95% confidence intervals) was expressed as the percentage of the mean. Performance output
The start and the turn are factors that influence performance in different swimming disciplines. The aim of this study was to find out the relationship of selected time parameters of the start and the turn with sport performance of 100 m and 1 500 m freestyle finalists in the Olympic Games 2016. Monitored parameters of the start were the start reaction, time under water after the start, and time at a distance of 15 m after the start. The monitored parameters of the turn were the time of 5 m before the turn, the duration of the turn, the time under water after the turn, and time reached at a distance of 15 m after the turn. There was any significant correlation of the resulting time to 1 500 m and the observed start indicators. The significant correlation of the resulting time to 1 500 m and the observed turn indicators was time 5 m before the turn r = 0.952 (p = 0.000); the duration of the turn r = 0.830 (p = 0.011); time at a distance of 15 m after the turn r = 0.886 (p = 0.003). The significant correlation of the resulting time to 100 m and the observed start indicators was time under water after the start r = −0.714 (p = 0.047). The significant correlation of the resulting time to 100 m and the observed turn indicators was the duration of the turn was r = 0.905 (p = 0.002). The results point out the existing relations between 100 m freestyle and time under water after start and duration of the turn. And for 1 500 m existing relations with time 5 m before the turn, the duration of the turn and time at a distance of 15 m after the turn. Therefore, our recommendations for sports practice include development of speed, power and coordination skills with technical execution of the start and the turn into regular swimming training.
Jaroslav Broďáni, Natália Kováčová and Monika Czaková
This article demonstrates the gender differences between the physical activity (PA), the joy of physical activity (PACES) and quality of life areas of boys and girls from high schools with different sports level and in the different ages. In this survey participated 630 boys and 672 girls from high schools in the age from 16 to 19 years. The quality of life is measured by the SQUALA survey, joy of the movement by the PACES survey, and the level of physical activity per week in hours by PAQ survey. The level of sports performance is defined by levels (occasional, active and registered sportsman). The data are presented by descriptive characteristics (n, M, SD) and the significance of differences and the relations are measure by non-parametric methods (W, rs). Differences in the PA, PACES, SQUALA levels at the group of boys and girls in the different age and sports level are rare. Different load of physical activity relates to sport level. It was not proven that with the increasing sports level, the joy of the physical activity also rises. The interactions between indicators of PA, PACES, and SQUALA in boys and girls in the different age and sports level were proven sporadically with a predominance of negative correlations. In most cases, the positive interactions of PA with PACES and areas of physical well-being was not proven. The higher appearance of positive correlations of PA with areas of SQUALA prevails in 18-years old girls. Boys show the higher number of interactions of PACES with areas of SQUALA. The joy of the movement positively correlates with spiritual well-being in groups of 18-19 years old boys, which perform physical activities in all sports levels. The gender differences between monitored indicators show that the gender factor is very important in this study. The age and sport level factor contributed significantly in the differentiated results of high school boys and girls.