The relationship between sleep, perfectionistic strivings, perfectionistic concerns, and academic and sports performance in young athletes
Bibliographic record
Abstract
Perfectionism is associated with sleep as well as with academic and sports performance. Given the importance of sleep for performance and the sleep changes that occur during adolescence, the present study aimed to explore the relationship between sleep, two dimensions of perfectionism (perfectionistic strivings and perfectionistic concerns), with academic and sports performance in young athletes. The occurrence of perfectionistic strivings was identified as a tendency to set high personal standards for oneself, while the occurrence of perfectionistic concerns was identified as a tendency to feel pressure to be perfect and have concerns about imperfections. A total of 32 athletes aged 13 to 16 years old participated in this study. Perfectionism, sleep, and course grades were measured at the end of the school year. Sleep was measured by actigraphy, and sports performance improvement was obtained by comparing individual performance at the beginning and the end of the school year. The moderating effect of both dimensions of perfectionism on the relationships between sleep and academic and sports performance improvement was measured. First, results showed no significant relationship between sleep and academic/sports performance. Further analyses revealed that perfectionistic strivings moderated the relationship between certain aspects of sleep with academic and sports performance improvement. Delayed and suboptimal sleep habits were associated with lower academic and sports performance improvement when low levels of perfectionistic strivings were present. Results with perfectionistic concerns showed that this dimension did not moderate the relationship between sleep and academic and sports performance improvement. This study supports the notion that high levels of perfectionistic strivings in young athletes may mitigate the adverse effects of poor sleep habits in young athletes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".