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The study purpose was to examine the anaerobic and aerobic performance and also determine the influence of the anaerobic performance on specific movements during a match-play. Materials and methods. A total of 12 Indonesian professional female players from Bandung district female futsal club were recruited and enrolled to participate in this study. They were required to complete one familiarization and two experimental sessions. During the first session (laboratory test), all players performed a treadmill test to ascertain their maximum rate of oxygen consumption (VO2max) and a running-based anaerobic sprint test (RAST) to measure their anaerobic performance. For the second session (on-court test), the participants played a simulated match on the court. A training team of 5 experts carried out an investigation regarding each player’s competitive performance per match. Furthermore, the blood lactate concentration and Rate of Perceived Exertion (RPE) were assessed in the pre- and post-test for both sessions, which were separated by a week to enable the players to recover. Results. The results showed that there was no significant difference between the mean power (MP) and fatigue index (FI) (p = 0.425, p = 0.938, respectively) for anaerobic performance using Analysis of Variance (ANOVA), although, the MP and FI of team C was lower compared to A and B. Furthermore, the total number of failed passes and shot off target of team C was larger compared to B and A (for failed passes = 30 vs 20 vs 25, for shot off target 14 vs 13 vs 8). Conclusions. The results obtained indicate that there are strong associations between anaerobic capacity and explosive movements (shooting, tackling, heading and passing) among female futsal players.

Purpose: In this study, the effects of caffeine supplementation in professional soccer players on the Hoff and sprint tests were examined. Material: 11 professional soccer players participated in this study in line with this purpose (Xage=20.636). The Hoff and sprint tests were applied 3 times at 1 week intervals. In each of these practices, caffeine added water was performed on the participants in the first week, and placebo was performed in the second week. In the third week, the participants were tested without any additional supplement. This practice lasted 3 weeks. Caffeine supplementation was given to each participant with the amount of 6 mg / kg in 200 ml water 1 hour before the tests, and placebo supplementation in 200 ml water was given 1 hour before the tests. The soccer players did the hoff test and sprint test respectively after 20 minutes of warming period. Results: Following Wilcoxon signed-ranks analysis, it was found that caffeine supplementation and placebo applications significantly increased the hoff test averages (p

In Paralympic sports, the goal of functional classifications is to minimize the impact of impairment on the outcome of the competition. The present cross-sectional study aimed to investigate aerobic and anaerobic personalized tests in Paralympic athletes and to correlate them with the classification of the international wheelchair rugby federation (IWRF). Sixteen elite players of the Italian wheelchair rugby team volunteered for the study. Aerobic (incremental test to exhaustion) and anaerobic (Wingate 30s all-out test, 5 and 10-meter sprint test, shuttle test, isometric test) sport-performance measurements were correlated singularly or grouped (Z scores) with the classification point. Moreover, a multivariate permutation-based ranking analysis investigated possible differences in the overall level of performance among the adjacent classified groups of players, considering the scores of each test. A statistically significant correlation between the performance parameters and the IWRF functional classification considering both aerobic and anaerobic personalized tests was detected (0.58 &le, r &le, 0.88, 0.0260 &le, p &le, 0.0001). The multivariate permutation-based ranking analysis showed differences only for the low-pointers versus mid-pointers (p = 0.0195) and high-pointers (p = 0.0075). Although single performance parameters correlated with athletes&rsquo, classification point, results of the multivariate permutation-based ranking analysis seem to suggest considering only the most significant anaerobic and sport-specific performance parameters among athletes. These should be combined with the physical assessment and the qualitative observation, which are already part of the classification process to improve its effectiveness.

The purpose of this study was to compare sprint test performance performed by football players of different ages and levels of competition. One hundred and forty six Portuguese players from different teams completed the test (seven maximal sprints interspersed with 25 s active recovery). A 6 (level of competition: 1(st) national division, 2(nd) national division, 1(st) regional division, sub 16, sub 14, sub 12) 7 (sprint trial: sprint 1, sprint 2, sprint 3, sprint 4, sprint 5, sprint 6, sprint 7) repeated measures ANOVA was carried out on subjects sprint times. The main effect of level of competition was statistically significant, F(5, 140) = 106.28, p0.001. Subjects from 1(st) national division were significantly faster than subjects from 2(nd) national division; subjects from 1(st) regional division obtained similar performances when compared to sub 16 and sub 14 level; subjects from sub 12 level were the slowest. The main effect of sprint trial was also statistically significant, F (6, 840) = 7.37, p0.001. Mean sprint times from the first trial were significantly slower than mean sprint times from the second, third and fourth trial. Results from the fifth, sixth and seventh trials were slower, denoting a decrement in performance. The two main effects were qualified by a significant level of competition x sprint trial interaction, F (30, 840) = 9.47 p0.001, identifying markedly different performance profiles. Coaches should be aware that normative data regarding this test can play a very important role if used frequently and consistently during the whole season. Key PointsGroups of different ages (Sub 16, Sub 14 and Sub 12) and groups of different training quality (1(st) and 2(nd) national divisions and 1(st) regional division) were clearly discriminated by sprint test performances.Professional players exhibited higher performances in sprint test.Fatigue effects were the strongest between 5th to the 7th sprint.