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Effect of drop jump technique on the reactive strength index

differences at p < 0.05 30 RSI 0.91 ± 0.11 1.24 ± 0.24 0.33 ± 0.20 * significant differences at p < 0.05 RSI (amortization) 1.95 ± 0.27 2.75 ± 0.63 0.79 ± 0.52 * significant differences at p < 0.05 RSI (take-off) 1.72 ± 0.24 2.27 ± 0.43 0.55 ± 0.34 * significant differences at p < 0.05 contact time (s) 0.39 ± 0.06 0.23 ± 0.03 0.16 ± 0.07 * significant differences at p < 0.05 amortization time (s) 0.18 ± 0.03 0.10 ± 0.02 0.08 ± 0.03 * significant differences at p < 0.05 take-off time (s) 0.21 ± 0

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Effects of Plyometric Training and Beta-Alanine Supplementation on Maximal-Intensity Exercise and Endurance in Female Soccer Players

training by the rating of perceived exertion after each soccer training session. 747 ± 267 690 ± 299 690 ±179 Soccer experience (y) 9.1 ± 3.9 7.5 ± 3.1 8.0 ± 3.8 Competition games during the experimental period 4.4 ± 2.1 4.8 ± 1.8 4.0 ± 2.2 Weekly participation in other sport or training modalities (h) 1.1 ± 0.6 1.1 ± 0.5 1.0 ± 0.3 Energy intake (kcal·day -1 ) 2,737 ± 339 2,456 ± 348 2,426 ± 255    Carbohydrate intake (g·day -1 ) 424 ± 77.6 356 ± 67.4 344 ± 73.8    Lipid intake (g·day -1 ) 80

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Effects of Different Post-Activation Potentiation Warm-Ups on Repeated Sprint Ability in Soccer Players from Different Competitive Levels

speed (1 m/s) of movement (PAP-1) ( Gonzalez-Badillo et al., 2015 ) and the other with a load (~90% 1RM) ( Kilduff et al., 2008 ) that allowed a moderate speed (0.5 m/s) of movement (PAP-0.5). In both PAP-1 and PAP-0.5 athletes completed repetitions until mean propulsive concentric velocity was reduced by ≥10% for each corresponding speed ( Sanchez-Medina and Gonzalez-Badillo, 2011 ). After the warm-up, athletes rested passively for 5 minutes and then performed the RSA test ( Okuno et al., 2013 ). RSA test The RSA test included 6 sprints of 20 m, with a passive

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An Examination of the Differences in Flow between Individual and Team Athletes

. Psychology of Sport & Exercise, 13(6), 807-819. DOI: 10.1016/j.psychsport.2012.05.006 Swann, C. (2016). Flow in sport. In L. Harmat, F. Ullen, G. Sadlo, F.O. Andersen, & J. Wright (Eds.), Flow Experience: Empirical Research and Applications (pp. 51-64). Switzerland: Springer International Publishing.

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A Situational Theory of Advantages in Sport

References Brüggemann, G.P., Arampatzis, A., Emrich, F. & Potthast, W. (2008). Biomechanics of double transtibial amputee sprinting using dedicated sprinting prostheses . Sports Technology , 1(4-5), 220-227. DOI: 10.1002/jst.63 Carr, C.L. (2008). Fairness and performance enhancement in sport. Journal of the Philosophy of Sport , 35(2), 193-207. DOI: 10.1080/00948705.2008.9714738. Court of Arbitration for Sport. (2008). Pistorius v/ IAAF, award of 16 May 2008 (Arbitration CAS 2008/A/1480).\Retrieved from

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Differences in the Perceived Attractiveness of Non-contact and Combative Athletes' Facial Pictures

.M., & Schmitt, D.P. (1993). Sexual Strategies Theory: An evolutionary perspective on human mating. Psychological Review , 100 (2), 204–232. https://doi.org/10.1037/0033-295X.100.2.204 Carre, J.M., & McCormick, C.M. (2008). In your face: facial metrics predict aggressive behavior in the laboratory and in varsity and professional hockey players. Proceedings of the Royal Society B: Biological Sciences , 275 , 2651–2656. https://doi.org/10.1098/rspb.2008.0873 Carré, J.M., McCormick, C.M., & Mondloch, C.J. (2009). Facial Structure Is a Reliable Cue of Aggressive

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Game Performance and Length of Rally in Professional Padel Players

.34   Baseline Unforced Errors 7.85 ± 5.83 8.01 ±6.03 7.66 ± 6.80 Total 10.42 ± 7.77 Significant differences between winners and losers (p<0.05) . 8.42 ± 6.43* 9.40 ± 7.19 Table 2 Frequency of attack effectiveness, time intervals the and game outcome, including adjusted standardized residuals (ASRs). Frequency % Row (a) % Column (c) Win. Los. T. Win. Los. T. ASRs (b) Win. Los. T. ASRs (d) 1 to 4 s 142 256 398 35.7 64.3 100 19.6 31.9 26.1   Point 41 78

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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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