Investigation of Relationship Between Reactive Agility and Cognitive Parameters in Male Football Players
Bibliographic record
Abstract
Objective: This study aims at investigating the relationship between reactive agility and cognitive performance of amateur male football players. Material and Method: Twenty-four male football players from 11 Nisan Sports Club in Şanlıurfa struggling in Regional Amateur Football League (BAL) participated in the study voluntarily. The mean age, height and weight of the football players participating in the study were 22.88 ± 4.15 year, 176.76 ± 5.90 cm and 69.76 ± 7.61 kg, respectively. Psycho-Technical Vienna system was used for Participants’ Cognitive tests, IQ (SPM), Continuous Attention (SIGNAL, SIGINAL TIME), Visual Memory (TAVTB), Determination Test (DT, DT TIME), Attention and Problem Solving (COG), Line Tracking (LVT), and Speed Distance Estimation (HMT). For the reactive agility test, the Fusion Sport Smart Speed device was used. Correlation statistics were used for the relationships between the variables. SPSS 23.0 package program was used for statistical operations. For the interpretation of statistical analyze, the significance level was accepted as 0.05. Results: There was no significant relationship between IQ (SPM), Continuous Attention (SIGNAL), Visual Memory (TAVTMB), Determination Test (DT), Attention and Problem Solving (COG), Line Tracking (LVT) with reactive agility values of male football players (p > 0.05), a significant relationship was found between Continuous Attention Reaction Time (SIGINAL TIME) the rRaction Time of the Determination test (DT TIME) and Speed Distance Estimation (HMT) (p < 0.05). Conclusion: As the content of the reactive agility test was based only on the speed and reaction speed against light and noise, it was found that the players were only associated with speed distance estimation and response time among the reactive agility performance and the cognitive tests. In order to determine the relationship between reactive agility and cognitive performance, there is a need for new reactive agility tests which are designed according to the branches where there is a distinction between competitor and team player requiring visual memory, attention, reaction, and double action skills.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".