126: Sleep Efficiency is Associated with and Report Card Marks in Typically Developing School-Age Children
Bibliographic record
Abstract
Academic success plays an important role in improving future lifetime opportunities and accumulating evidence indicates that sleep has beneficial effects on academic success. Although a myriad of factors have been identified as being relevant to academic achievement, the role played by sleep in this process has been largely ignored. A considerable proportion of elementary school-aged children sleep for less than the recommended hours per night and 25% to 40% of youth are affected by asleep disorder during infancy, childhood and/or or adolescence. This is a major concern given that restricted sleep can negatively impact the academic performance of children. Measures used to assess school achievement include report cards marks. Previous studies examining the associations between sleep and marks on report cards used subjective measures of sleep. Thus, we do not know what aspects of sleep are related to performance in specific academic subjects. It is also not known which aspects of sleep are most relevant to academic performance. Determining which aspects of academic performance are specifically affected by poor sleep is important because this can inform the development of sleep interventions to improve these domains To examine the association between objectively measured aspects of sleep (sleep duration and sleep efficiency) and report card marks in healthy school-age children Nighttime sleep was monitored by actigraphy, which uses a wristwatch-like device (AW-64 series, Mini-Mitter) to evaluate sleep through the measurement of ambulatory movement, and parents provided their child's most recent report card. The study sample consisted of 72 participants between seven and 11 years of age (mean [± SD] 8.85±1.6 years). The amount of sleep that children obtained gradually decreased with age. Children in Cycle 1 obtained an average of 608.21±24.65 min, while those in Cycle 2 received 565.7±26.15 min and those in Cycle 3 received 547.43±34.5 min (F[2, 69]=24.65; P<0.0001). Using multiple linear regression analyses it was found that higher sleep efficiency showed a statistically significant association with better marks in Math, English Language, and French as a Second Language above and beyond the contributions of age, gender, and socioeconomic status. Our findings suggest that higher sleep efficiency in healthy school-age children is positively associated with better marks in Math, English Language and French as a Second Language.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".