Executive Functions and Competitive Attitudes in Near-Elite Ice Hockey Players
Bibliographic record
Abstract
Abstract Ice hockey is considered one of the most competitive sports, and it requires physical and mental preparation to perform appropriately under the pressure of a competitive environment. The present study aims to investigate the impact of competitive sports on executive functions such as emotion regulation, inhibitory control, working memory, and competitive attitudes among near-elite ice hockey players. Near-elite athletes have been gathered (N = 67) from the four Hungarian Ice-Hockey Academies. Our results indicated a small positive association between Canadian points and maladaptive emotion regulation and a slight positive correlation between maladaptive cognitive emotion regulation and false alarms of the N-back task. The result revealed a significant difference between National and Non-National Team members in maladaptive cognitive emotion regulation regarding hypercompetitive attitude. The result of linear regression revealed that maladaptive cognitive emotion regulation significantly predicts false alarms, indicating that the maladaptive cognitive emotion regulation explains 10% of the variance. In conclusion, we highlight the role of the environment, which affects executive functions and competitive attitudes alongside sports performance. Although the findings were mainly correlational, we can conclude that the nature of competitive ice hockey expects certain behavior for the players indifferent of the situation that could lead to emotion suppression, rumi-nation and other maladaptive emotion regulation strategies. We can also conclude that inadequate emotion regulation might be related to the overstimulation of players, characterized by a hypersensitive state to stimuli. We suggest that practitioners ensure the development of adequate competitive attitudes of players to enable long-term physical and psychological benefits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".