Concurrent Associations among Sleep Problems, Indicators of Inadequate Sleep, Psychopathology, and Shared Risk Factors in a Population-based Sample of Healthy Ontario Children
Bibliographic record
Abstract
OBJECTIVES: Examine the contribution of sleep problems and indicators of inadequate sleep to psychopathology among children after accounting for shared risk and comorbid psychopathology. METHODS: Secondary analyses of cross-sectional data on 4- to 11-year-old (N = 1,550) children without chronic illness or developmental delay or disability. Parents provided information about sleep problems, indicators of inadequate sleep, symptoms of psychopathology, and risk factors for psychopathology. Teachers provided information about indicators of inadequate sleep and symptoms of psychopathology. RESULTS: Adjusting for risk factors and comorbid psychopathology, sleeping more than other children was related to parent-rated aggression. Nightmares and trouble sleeping were related to parent-rated anxious/depressed mood. Sleep problems were not related to attention problems. Being overtired was related to parent- and teacher-rated psychopathology. CONCLUSIONS: Relations among sleep problems, indicators of inadequate sleep, and psychopathology are complex; accounting for potential confounding variables and considering sleep variables separately may clarify these relations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".