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
Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res, 2005; 19: 231-240
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.
Baroga DH (1989). Weightlifting and physical fitness for sport. 2 nd Ed. Bulgaria: Bull publishing Co. 110-146.
Baumgartner TA, Jackson AS, Mahar MT, Rowe DA (2003). Measurement for evaluation in physical education and exercise science, 7 th Ed
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
Katharina Petri, Steffen Masik, Marco Danneberg, Peter Emmermacher and Kerstin Witte
We conducted a virtual reality (VR) training with ten sessions, performed by fifteen young karate athletes, who responded to attacks of a virtual opponent to improve their response behavior and their decision-making. The control groups continued with their normal training. Results of the Friedman tests with subsequent Dunn-Bonferroni post-hoc-tests and estimation of effect sizes showed that the karate specific response behavior (measured by a movement analysis) improved significantly due to the training. The parameters time for response (as the time for the attack initiation) and response quality improved with large effect sizes for the intervention groups, whereas the control groups demonstrated improvements with only small effect sizes. The unspecific response behavior (analyzed by two forms of the reaction test of the Vienna test system) did not show any significant changes. Paired t-tests revealed an improvement in attack recognition. While in the pretests, the intervention groups responded to late movement stages of the attack (execution of the main phase), they responded to early movement stages (reduction of distance and preparing steps) in the posttests. Furthermore, Friedman-tests and bivariate correlation analysis showed that the intervention groups were highly motivated to perform the VR training because of the new and safe learning conditions.
Mirosław Mikicin, Sylwia Nowacka-Dobosz, Anna Mróz, Anna Kuk and Adriana Zagórska-Pachucka
Study aim: The aim of the study was to investigate the relationship between attention and physical endurance (running) and anthropometric parameters of athletes.
Material and methods: The study examined 61 students aged 19 to 25 years, divided into two groups: athletes (33 participants) and non-athletes (28 participants). We employed anthropometric measurements and the Vienna System Test, including tools to measure focused attention, such as LVT (visual orientation performance test) and DAUF (test for examination of sustained attention) and the Cooper test to measure endurance.
Results: Analysis of the results demonstrated a relationship between attention and physical endurance with median time from LVT (r = –0.552). A relationship was also found between the Cooper test results and the mean time to incorrect answer (r = –0.900).
Conclusions: The analysis demonstrated a relationship between attention, physical endurance and anthropometric parameters of athletes.