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Association Between Match Activity Variables, Measures of Fatigue and Neuromuscular Performance Capacity Following Elite Competitive Soccer Matches

, measures of fatigue and neuromuscular performance capacity were classified according: <0.1 trivial, 0.1 to 0.3 small, 0.3 to 0.5 moderate, 0.5 to 0.7 large, 0.7 to 0.9 very large, and 0.9 to 1.0 almost perfect ( Hopkins, 2000 ). Confidence intervals (95%) and effect sizes were also calculated. Statistical analyses were performed using the statistical package for social sciences version 23.0 (SPSS, Inc., Chicago, IL, USA). Acceptable level of significance was set at p < 0.05. Results Serum CK activity ( Figure 1 ) was significantly higher post-match and 40 h

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High Speed Running and Sprinting Profiles of Elite Soccer Players

. 320, p < 0.05). Concerning the number of high-speed runs (21.1.-24.0 km/h), CM ( p < 0.01; η 2 = 0.031), EM ( p < 0.05; η 2 = 0.041) and F ( p < 0.05; η 2 = 0.024) from Real Madrid performed less efforts than the opposing team (10.7 v. 21.1, 25.0 v. 28.1 and 19.9 v. 22.0). Additionally, there were no differences for ED and F players ( Figure 1 ). Figure 1 Differences in the number of high-speed runs (21.1-24.0 km/h) between Real Madrid and the opposing team depending on the player’s position ‡Significantly shorter than the opposing team ( p

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Sexual Behaviour of Combative Athletes – Is There a Greater Risk?

References Allison, R. (2016). Gendered jocks or equal players? Athletic affiliation and hooking up among college students. Sociological Spectrum, 36(4), 255-270. https://doi.org/10.1080/02732173.2015.1123127 Beaven, C.M., Gill, N.D., Ingram, J.R. & Hopkins, W.G. (2011). Acute salivary hormone responses to complex exercise bouts. Journal of Strength and Conditioning Research, 25(4), 1072-1078. https://doi.org/10.1519/JSC.0b013e3181bf4414 Caruso, J.F., Lutz, B.M., Davidson, M.E., Wilson, K., Crane, C.S., Craig, C

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Physiological responses and match characteristics in professional tennis players during a one-hour simulated tennis match

, EE, V E , RER and RF responses during serve and return games. There were significant differences between serve games and return games in terms of VO 2 (t= 50.907; p < 0.05; small ES: 0.38; 95%CI: 2.01 to 2.17) and HR (t= 54.619; p < 0.05; small ES: 0.43; 95%CI: 7.51 to 8.07). Significant differences were also found between the serve games and return games in terms of %HR max (42.461; p < 0.05; medium ES: 0.73; 95%CI: 3.61 to 3.96), RPE (t= 6.806; p < 0.05; small ES: 0.36; 95%CI: 0.82 to 1.43) and EE (t= 10.526; p < 0.05; medium ES: 0.58; 95%CI: 20.33 to

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Sensation Seeking as one of the Motivating Factors for Performing Skydiving

References 1. Lyng S. (1990). Edgework: A social psychological analysis of voluntary risk taking. American Journal of Sociology 95(4), 851-886. 2. Monasterio E., Mulder R., Frampton C., Mei-Dan O. (2012). Personality characteristics of BASE jumpers. Journal of Applied Sport Psychology 24(4), 391-400. DOI: 10.1080/10413200.2012.666710. 3. Breivik G. (1995). Personality, sensation seeking and arousal in high risk sports. Oslo: Norwegian University of Sports. 4. Lafollie D., Le Scanff C. (2008

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Application of A Physiological Strain Index in Evaluating Responses to Exercise Stress – A Comparison Between Endurance and High Intensity Intermittent Trained Athletes

/∆Tty-sweating sensitivity; g/∆ ± C) was higher in the MD group ( Table 4 ). Table 4 The sweating response to exercise for each tested group Characteristics C MD HIIT Effect of group n=11 n=9 n=12 ∆BM (kg) -0.65(0.09) -0.87(0.09) -0.61(0.10) F=2.39 p >0.05 BM loss (%) -0.86(0.12) –1 .24(0.12) Significant difference between endurance and high –intermittent intensity trained athletes ( p < 0.05) -0.76(0.10) F=4.31 p <0.05 ∆BM (g . h –1 ) –1 .77(0.22) -2.03(0.24) –1 .73)0.21) F=0.46 p >0.05 SRL (g.(m 2 ) –1 ) 0

The Impact Of Ten Weeks Of Bodyweight Training On The Level Of Physical Fitness And Selected Parameters Of Body Composition In Women Aged 21-23 Years

Cardiovascular Diseases 23(7), 650-656. DOI: 10.1016/j.numecd.2012.01.004. 3. Kell R.T., Bell G., Quinney A. (2001). Musculoskeletal fitness, health outcomes and quality of life. Sports Medicine 31(12), 863-873. PMID: 11665913. 4. Cousins M.J., Petit M.A., Paudel M.L., Taylor B.C., Hughes J.M., Cauley J.A. et al. (2010). Muscle power and physical activity are associated with bone strength in older men: The osteoporotic fractures in men study. Bone 47, 205-211. DOI: 10.1016/j.bone.2010.05.003. 5. Smeets R.J., van Geel K.D., Verbunt J.A. (2009). Is the

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Officiating Role Influences the Physical Match Activity Profiles of Rugby League Touch Judges and Referees

Total distance (m) 3880 ± 344 3547 ± 397 p <0.05 vs. Middle Referee 0.45 3896 ± 289 3475 ± 439 p <0.05 vs. Middle Referee 0.58 7767 ± 585 7022 ± 759 p <0.05 vs. Middle Referee 0.55 Relative distance 90.2 ± 7.8 82.8 ± 10.6 p <0.05 vs. Middle Referee 0.40 90.5 ± 6.9 81.2 ± 7.8 p <0.05 vs. Middle Referee 0.63 90.2 ± 6.4 82.0 ± 8.1 p <0.05 vs. Middle Referee 0.56 (m⋅min -1 ) Maximum velocity 7.1 ± 0.7 6.8 ± 0.9 0.02 7.1 ± 0.6 6.6 ± 0.7 p <0.05 vs. Middle Referee 0.38 7.1 ± 0.5 6

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Is Playing Soccer More Osteogenic for Females Before the Pubertal Spurt?

.5). Female peripubertal soccer players presented lower subtotal lean mass than their postpubertal counterparts ( p < 0.05, Cohen´s d 1.0). When male and female players within the same pubertal group were compared, differences were only found at the peripubertal stage as males were lighter, had a lower BMI, and had been playing soccer for more years than females ( p < 0.05, Cohen´s d ranged from 0.5 to 1.0). Table 1 Subject characteristics of peripubertal and postpubertal male and female soccer players Peripubertal (Tanner II and III) Postpubertal

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The Yo-Yo Intermittent Endurance Level 2 Test: Reliability of Performance Scores, Physiological Responses and Overload Characteristics in Competitive Soccer, Basketball and Volleyball Players

initially approached/interviewed, yet 20 soccer players (SP: age 21.9 ± 1.5 years; body mass 74.2 ± 6.5 kg; body height 1.77 ± 0.06 m; BMI 23.5 ± 2.1 kg/m 2 ; body fat 16.6 ± 4.4%), 11 basketball players (BP: age 20.8 ± 1.3 years; body mass 82.3 ± 6.6 kg; body height 1.86 ± 0.05 m; BMI 23.7 ± 1.2 kg/m 2 ; body fat 19.8 ± 4.8%) and 10 volleyball players (VP: age 20.9 ± 1.1 years; body mass 80.5 ± 10.5 kg; body height 1.86 ± 0.08 m; BMI 23.0 ± 4.4 kg/m 2 ; body fat 18.6 ± 4.4%) finally volunteered to participate in this study. The inclusion criteria were: (1) participation

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