Night-to-Night Variability of Sleep in Children With ADHD and Typically Developing Controls
Bibliographic record
Abstract
OBJECTIVE: Research results on the nature of sleep problems in children with ADHD are highly inconsistent. It is frequently reported that children with ADHD show more night-to-night variability in sleep than their typically developing (TD) peers, but this finding is also inconsistent. Lack of methodological control may account for these inconsistent findings. The current study examined the night-to-night variability of sleep between TD children and children with ADHD who were rigorously diagnosed, medication naïve, and free from comorbid mental health disorders. METHOD: Sleep parameters were analyzed for night-to-night variability across 4 weekday nights using actigraphy in 50 children with ADHD and 50 age- and sex-matched TD children. RESULTS: There was a significant night-to-night variability for only sleep duration, but this was similar in both groups. CONCLUSION: These findings suggest that sleep problems in children with ADHD are not due to greater variability in sleep parameters relative to their TD peers.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".