0862 Perfectionism and Sleep in High School Students
Bibliographic record
Abstract
High perfectionism is a common trait among sport athletes. Moreover, striving for perfection has been associated with motivation and higher achievement in school. However, studies have shown an association between high levels of perfectionism and sleep disturbances, such as insomnia. Since teenagers are going through sleep and chronobiological changes, this study aims to verify the possible relationship between perfectionism and sleep in adolescents. To date, fifteen high school students (13-14y) were recruited to be part of a longitudinal study of their sleep patterns as well as their sport and academic performances. Ten of those students are enrolled in Sports-Studies programs that involve a competitive practice of a sport for at least 15h a week. The other five students are attending a regular school program. Each participant completed the Multidimensional Perfectionism Scale, the Morningness-Eveningness for Children Scale, and the Pediatric Daytime Sleepiness Scale at the beginning of the school year. They also completed sleep diaries and wore an actigraph for 8 days. An exploratory analysis was performed in order to verify the association between the dimension of socially prescribed perfectionism (SPP) and sleep (chronotype, social jetlag, total sleep time during school nights and daytime sleepiness) using Pearson’s correlations. Then, the associations between the dimension of self-directed perfectionism (SDP) and the sleep variables were also verify using Pearson’s correlations. SPP was positively correlated with the chronotype (r=.58, p=0.03) and negatively correlated with daytime sleepiness (r=-.58, p=.03). No other sleep variables were associated with SPP, nor with SDP. These preliminary results suggest that a higher desire to satisfy what they perceived as their peers’ expectations to be perfect is associated with less daytime sleepiness and a tendency towards morningness. As for self-directed perfectionism, it doesn’t seem to be associated with sleep. Further studies are needed in order to confirm these results with larger student samples. Studies also need to verify whether the relationship between the chronotype and SPP will change with the shift towards eveningness observed throughout the adolescence period. -
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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 | 0.001 |
| 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".