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Can Anthropometric Variables and Maturation Predict the Playing Position in Youth Basketball Players?

Characteristics of players from national teams, including distances to anthropometric landmarks. Variables U‐14 ( n = 32) U‐15 ( n = 24) U‐16 ( n = 21) U‐18 ( n = 17) U‐20 ( n = 15) a 14.2 ± 0.2 14.9 ± 0.2 15.8 ± 0.3 17.7 ± 0.5 19.6 ± 0.6 Age [years] b 13.3–14.5 14.4–15.1 15.2–16.1 16.5–18.3 18.5–20.3 c 14.3 14.9 15.8 17.8 19.8 a 3.9 ± 1.3 5.1 ± 1.3 5.7 ± 1.2 8.4 ± 0.9 9.2 ± 0.9 Basketball b 1.0–7.5 2.5–7.0 3.5–8.2 6.5–10.1 7.3–11.1 experience [years] c 3.9 5

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The Line in the Sand for British Strength Sports. No Second Chances and the Creation of a Drug Free for Life Ethos

REFERENCES BDFPA. (2016). BDFPA History. Retrieved 15.07.2016, from http://bdfpa.co.uk/ Bhasin, S., Storer, T., Berman, N., Callegari, C., Levenger, B., Phillips, J., Bunnell, T., Tricker, R., Shirazi, A. & Casaburi, R. (1996). The Effects of Supraphysiologic Doses of Testosterone on Muscle Size and Strength in Normal Men. The New England Journal of Medicine , 335(1), 1-7. DOI: 10.1056/NEJM199607043350101 BPO. (2016). Welcome to the BPO Website . Retrieved 16.07.2016, from http://britishpowerliftingorganisation.co/ Buck, J. (1998

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Player Load and Metabolic Power Dynamics as Load Quantifiers in Soccer

: Metabolic Power; M: Mean; SD: Standard deviation; p: p value; d: Cohen’s d effect size. a Significant differences with winning (p < .05); b Significant differences with drawing (p < .05); c Significant differences with losing (p < .05) . Finally, Figure 2 presents a correlation plot between PlayerLoad TM and Metabolic Power showing a high correlation between both variables ( r = 0.918; p < .001). Figure 2 Relationship between Player Load (determined by accelerometry) and Metabolic Power (determined by GNSS) dynamics for the recordings in 12 matches

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Effect of Virtual Reality‐Based Rehabilitation on Physical Fitness in Patients with Chronic Obstructive Pulmonary Disease

/16 17/17 0.92 Age, mean (SD) 62.1 (2.9) 60.5 (4.3) 0.80 Group B / C 17/17 17/17 1 Spirometry parameters FVC%pred, mean (SD) 79.5 (23.8) 76.5 (12.4) 0.51 FEV 1 %pred, mean (SD) 65.4 (24.0) 62.9 (15.8) 0.91 FEV 1 % FVC%pred, mean (SD) 66.1 (13.6) 66.3 (16.5) 0.62 Notes: * p ≤ 0.05 between‐group analysis (Mann–Whitney U test); M: male; F: female; FVC%pred: force vital capacity percent predicted; FEV 1 %pred : forced expiratory volume in one second percent predicted; forced expiratory

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Force and Electromyographic Responses of the Biceps Brachii after Eccentric Exercise in Athletes and non-Athletes

≤ 0.05) ( Figure 1 ). The EMG RMS increased significantly only for non-athletes 10 days after ECC exercise compared with baseline values ( p ≤ 0.05) ( Figure 2 ). Figure. 1 Maximal isometric force (MIF) of elbow flexors before, immediately, 48 h, 5 and 10 days after the ECC exercise for athletes (solid bars) and non-athletes (empty bars). +: statistically significant difference between groups before exercise; *: a significant decrease immediately and 48 h after exercise as compared with baseline conditions in athletes; #: a significant decrease immediately

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Postactivation Potentiation of Bench Press Throw Performance Using Velocity-Based Conditioning Protocols with Low and Moderate Loads

( p < 0.001, Hedges’ g = 1.2). Peak velocity was significantly higher under the 60%_90_v condition compared to: (a) the 40%1RM_90v condition from the 0.75 ( p < 0.001, Hedges’ g = 1.5) till the 8 th minute ( p < 0.001, Hedges’ g = 1.2) of recovery (b) (b) the 60%1RM_70v condition in all time points ( p < 0.001, g > 1.2) (c) the 40%1RM_70v condition in all time points ( p < 0.05, g > 1.2) except the 10 th time point of recovery ( p = 0.29). Peak velocity during recovery for each participant irrespective of time was 7.5 ± 4.2% greater than

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A Preliminary Analysis of Relationships between a 1RM Hexagonal Bar Load and Peak Power with the Tactical Task of a Body Drag

., 2017b ; Lockie et al., 2018c , in press). The correlation strength was designated as: an r between 0 to ±0.3 was considered small; ±0.31 to ±0.49, moderate; ±0.5 to ±0.69, large; ±0.7 to ±0.89, very large; and ±0.9 to ±1, near perfect for relationship prediction ( Hopkins, 2002 ). Stepwise linear regression analyses ( p < 0.05), with sex as a control variable, were conducted for each drag to illustrate whether absolute 1RM HBD, relative 1RM HBD, or peak power predicted standard or adapted drag performance for the 74.84 kg or 90.72 kg dummies. This approach was

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The Influence of the Menstrual Cycle on Muscle Strength and Power Performance

Oral Contraceptives: Regulation and Function Sex Hormones, Exercise and Women: Scientific and Clinical Aspects Springer 1 17 2016 Del Coso J, Salinero JJ, González-Millán C, Abián-Vicén J, Pérez-González B. Dose Response Effects of a Caffeine-Containing Energy Drink on Muscle Performance: A Repeated Measures Design. J Int Soc Sports Nutr , 2012; 9: 21 22569090 10.1186/1550-2783-9-21 Del Coso J Salinero JJ González-Millán C Abián-Vicén J Pérez-González B Dose Response Effects of a Caffeine-Containing Energy Drink on Muscle Performance: A

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Comparison of Peak Ground Reaction Force, Joint Kinetics and Kinematics, and Muscle Activity Between a Flexible and Steel Barbell During the Back Squat Exercise

1717 ± 158 (1.0)* C7 Maximum Acceleration (mm/s 2 ) 7949 ± 1065 10182 ± 1259 (1.9)* Bar End Maximum Height (mm) 1500 ± 76 1623 ± 100 (1.4)* Bar End Minimum Height (mm) 924 ± 74 814 ± 97 (1.3)* Bar End ROM 575 ± 92 808 ± 121 (2.2)* Bar End Maximum Velocity (mm/s) 1523 ± 197 1991 ± 331 (1.7)* Bar End Maximum Acceleration (mm/s 2 ) 7668 ± 1118 11583 ± 1987 (2.4)* *signifies significantly higher value at p < 0.05 Table 2 Comparison between the Flexible Bar and Steel Bar of Peak Kinetic and Kinematic

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Knee Forces During Landing in Men and Women

accounts for greater differences in muscle and joint contact forces during landing, although women may exhibit a greater recruitment of the quadriceps with a lesser recruitment of gluteals and biarticular hamstrings. References Alentorn-Geli E, Myer GD, Silvers HJ, Samitier G, Romero D, Lazora-Haro C, Cugat R. Prevention of non-contact anterior cruciate ligament injuries in soccer players: Part 1: Mechanisms of injury and underlying risk factors. Knee Surg Sports Traumatol Arthrosc 2009; 17: 705–29 10.1007/s00167-009-0813-1 19452139 Alentorn-Geli E Myer

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