0938 Sleep, Perfectionism and Cognitive Anxiety in Sports: An Exploratory Study
Bibliographic record
Abstract
Abstract Introduction Perfectionism has been related to cognitive anxiety in sports. The bidirectional association between sleep and anxiety has also been well studied. However, the relationship between sleep habits, anxiety and perfectionism in physically active young individuals hasn’t been documented yet. This was the objective of the present study. Methods 150 young, physically active participants (10 to 18 years old; 47% boys, 51% girls) completed an online survey comprised of questions extracted from the Sport Multidimensional Perfectionism Scale-2, the Competitive State Anxiety Inventory-2R and the Adolescent Sleep Habits Survey. First, independent t-tests were conducted to compare sleep habits, personal standards (PS), perceived parental pressure (PPP) and perceived coach pressure (PCP) of more anxious (ANX) to less anxious (NOANX) participants. Then, stepwise multiple linear regression analyses were computed to examine the significant sleep habits and perfectionism variables associations with competitive cognitive anxiety. Results Results show that ANX participants have higher PS (t(148)=3.19, p=0.002), less total sleep time on weekend (TST; t(148)=-2.94, p=0.004), longer sleep onset latency (SOL) on weeknights (t(128.09)=2.28, p=0.03) and report more daytime sleepiness (t(148)=3.06, p=0.003) compared to NOANX participants. The significant sleep variables and PS collectively explained 17.7% of competitive cognitive anxiety variance (p=0.00). PS was the largest predictor (β=0.27, p=0.00), followed by daytime sleepiness (β=0.21, p=0.007), weekend TST (β=-0.17, p=0.023) and weeknight SOL (β=0.16, p=.038). Conclusion These results suggest that, even though PS is associated with cognitive anxiety, sleep seem to be an important factor to consider. Specifically, increased daytime sleepiness accompanied by difficulties falling asleep during school nights and no recovery sleep during weekends significantly contribute to competitive cognitive anxiety. These results could have important implications when addressing competitive anxiety issues in young athletes. Support N/A
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".