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Correlation Between Match Performance and Field Tests in Professional Soccer Players

) 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 . Statistical Analysis 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

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Reliability Analysis of Traditional and Ballistic Bench Press Exercises at Different Loads

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

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Correlations of Anthropometric and Body Composition Variables with the Performance of Young Elite Weightlifters

References 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

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Profile, Correlation and Structure of Speed in Youth Elite Soccer Players

-52 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

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Shoulder Rotator Muscle Dynamometry Characteristics: Side Asymmetry and Correlations with Ball-Throwing Speed in Adolescent Handball Players

players and matched controls. Phys Ther Sport, 2001; 2: 4 - 14 Clements AS, Ginn KA, Henley E. b). Correlation between muscle strength and throwing speed in adolescent baseball players. Phys Ther Sport, 2001; 2: 123 - 131 Codine P, Bernard PL, Pocholle M, Benaim C, Brun V. Influence of sports discipline on shoulder rotator cuff balance. Med Sci Sports Exerc, 1997; 29: 1400 - 1405 Cohen DB, Mont MA. Upper extremity physical factors affecting tennis serve velocity. Am J Sports Med, 1994; 22: 746 - 751 Dillman

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Correlation of Cognitive Abilities Level, Age and Ranks in Judo

Summary

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.

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Comparison of Designated Coefficients and their Predictors in Functional Evaluation of Wheelchair Rugby Athletes

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

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Repeated Dribbling Ability in Young Soccer Players: Reproducibility and Variation by the Competitive Level

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

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The Relationship Between Swimming Performance and Time Parameters of the Start and Turn

Summary

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.

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Gender Differences in Quality of Life and Physical Activity of High School Students

Summary

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.

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