Search Results

1 - 10 of 456 items :

  • Clinical Medicine x
  • Sports and Recreation, other x
  • Orthopaediatrics and Accident Surgery x
Clear All
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

Open access
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

Open access
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

Open access
Less Than One Millimeter Under the Great Toe is Enough to Change Balance Ability in Elite Women Handball Players

. Neurosci Lett 2004; 366: 71-75 10.1016/j.neulet.2004.05.015 15265593 Balter SGT Stokroos RJ Akkermans E Kingma H Habituation to galvanic vestibular stimulation for analysis of postural control abilities in gymnasts Neurosci Lett 2004 366 71 75 Bloem BR, Allum JH, Carpenter MG, Verschuuren JJ, Honegger F. Triggering of balance corrections and compensatory strategies in a patient with total leg proprioceptive loss. Exp Brain Res 2002; 142: 91-107 10.1007/s00221-001-0926-3 Bloem BR Allum JH Carpenter MG Verschuuren JJ Honegger

Open access
The Acute Effects of High‐Intensity Cycling Exercise on Arterial Stiffness in Adolescent Wrestlers

were as follows: a single bout of 30‐s high‐intensity cycling exercise resulted in (a) a decrease in systolic diameter at the 5th min after the 30‐s Wingate test (p < 0.05) and diastolic diameter also decreased, but not to a statistically significant level, (b) there was a statistically significant decrease in arterial compliance and the beta stiffness index at the 5th min of recovery following the 30‐s cycling exercise, and (c) the subjects with relatively high mean power had lower arterial stiffness, and beta stiffness index values. The decrease in arterial

Open access
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

Open access
Effects of Terbutaline Sulfate on Physiological and Biomechanical as Well as Perceived Exertion in Healthy Active Athletes: A Pilot Study

.8 ± 6.9 38.3 ± 6.7 17.3 ± 1.5 # 15.6 ± 1.2 * Different from female group; #Different from TER group, p < 0.05 . The analysis showed a significant main effect of gender for the estimated VO 2max value (F 1,10 = 24.948; p < 0.001; η 2 = 0.71), where the male TER group showed higher values than the female TER group( p < 0.001; 95% CI = 35.749 to 40.951) and the male PLA group demonstrated higher values than the female PLA group( p < 0.001; 95% CI = 36.500 to 41.200). No other effect was observed in the estimated VO 2max value between PLA

Open access
Analysis of Successful Offensive Play Patterns by the Spanish Soccer Team

.33 L.3 ( zi71,zf71,c2 (((( zi71,zf71,c1 zi71,zf71,c1 ) 3 / 6 / 65.67 / 47.67 / 158.33 / 265.67 / zi71,zf71,c2 ) zi71,zf120,c2 ) zi71,zf71,c2 )) 2984 456.33 Duration (D.) D.1 ( zi71,zf71,c2 ( zi71,zf71,c1 zi71,zf61,c2 )) 10/ 3/ 4371 245.30 / 190.80 To aid in the interpretation of results, we created a figure showing an example of a T‐pattern in a tree format, with images from the matches illustrating the different clusters that made up the T‐pattern (pattern L.1 [(((( zi61,zf61,c1 zi61,zf61,c1 )( zi61,zf71,c2 zi71,zf71,c2

Open access
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

Open access
Predicting Competition Performance in Short Trail Running Races with Lactate Thresholds

thank all trail runners for their participation in the study. References Balducci P, Clémençon M, Trama R, Blache Y, Hautier C. Performance Factors in a Mountain Ultramarathon. Int J Sports Med 2017; 38: 819–826. https://doi.org/10.1055/s-0043-112342 10.1055/s-0043-112342 Balducci P Clémençon M Trama R Blache Y Hautier C Performance Factors in a Mountain Ultramarathon Int J Sports Med 2017 38 819 826 https://doi.org/10.1055/s-0043-112342 Barnes KR, Kilding AE. Running economy: measurement, norms, and determining factors

Open access