The present study aimed to report different level games in terms of their external game loads, using data collected from GPS performance indicators in Brazilian soccer teams. We used measures of 464 performances of professional soccer athletes during the National Tournament (NT=265), State Tournament (ST=89), National Cup (NC=44), and the International Tournament (IT=66). The performance analysis included the assessment of Total (meters) and Relative (meters/minutes) distances; running (>14km/h), and sprinting (>18km/h) distance; the number of sprints (>18km/h and >24km/h); accelerations (above three m/s2), deceleration (less than three m/s2) and jumps (>30 cm); Total and Relative load – per minute. There were differences (p<0.05) in terms of relative distance between NT and ST (102.2 ±9.5 vs. 98.1± 10.3) and between ST and NC (98.1± 10.3 vs. 103.4 ±9.6). In sprints >18km/h NT differed from ST (60.4 ±5.9 vs 52.7 ±19.9). In sprints >24km/h differences could be found between NT and ST (10.7 ±5.9 vs 8.7 ±5.4). In Total Load NT differed with respect to ST (908.6 ±141.5 vs. 852.7 ±138.5) In Relative Load differences were reported between NT and ST (10 ±1.2 vs. 9.3 ±1.4) and IT (10 ±1.2 vs. 9.4 ±1.4), and between ST and NC (9.3 ±1.4 vs. 10.0 ±1.4). Finally, concerning deceleration, NT differed when compared to ST (36.1 ±9.9 vs. 32 ±11) as well as ST differed from IT (32 ±11 vs. 37.5 ±9.7). The present results make it possible to create specific training games according to tournament level associated with the predominant activities performed during the competition.
The study aims to analyze the acute effect of a Cross-Training benchmark on executive functions and physiological parameters according to performance. Thirty-two practitioners were divided according to their performance, Elite group (n=7; age: 28.9±4.7 years; practice: 50.0±13.3 months), Advanced group (n=10; age: 33.4±4.6 years; practice: 27.6±13.8 months) and Beginner group (n=15; age: 30.6±7.1 years; practice: 22.9±9.2 months). This research compares the groups and the pre-WOD and post-WOD moments for physiological (heart rate, lactate concentration, diastolic and systolic blood pressure) and neuropsychological variables (executive function); correlations between the physiological and neuropsychological effects of the benchmark. The results showed a significant difference concerning the performance of the WOD time (Elite: 177.1’±29.8’ s and the difference in executive functions regarding the comparison between moments: reading (Elite:76.4±20.2 percentiles), counting (Elite: 86.4±10.7 percentiles), choice (Elite: 89.3±9.8 percentiles), shifting (Advanced: 91.0±8.4 percentiles), inhibition (Advanced:76.5±12.5 percentiles), flexibility (Advanced: 93.0±6.3 percentiles), lactate (Elite:13.1±1.8 mmol/L), heart rate (Elite: 188.0±6.6 bpm), systolic blood pressure (Elite: 149.7±11.5 mmHg), and diastolic blood pressure (Elite: 73.4±6.2 mmHg). Our findings confirm that high-intensity exercise could influence the physiological mechanisms responsible for the intervention in cognitive performance, improving executive functions.
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