77 Sleep Behaviours and Disturbances Characterizing Adolescents with ADHD Symptoms
Bibliographic record
Abstract
Sleep disturbances are commonly reported in adolescents with Attention-deficit/hyperactivity disorder (ADHD). Little data currently exists identifying the sleep behaviours or the symptoms of sleep disorders among adolescents with ADHD. The aim of this study was to characterize sleep behaviours and disturbances of adolescents with ADHD symptoms. We hypothesized that adolescents with high levels of ADHD symptoms would present more symptoms of primary sleep disorders and poorer sleep hygiene as compared to typically developing adolescents. 82 adolescents (53 females and 29 males) aged between 13 and 18 years old (M=14.61 SD=1.27) participated in the study. ADHD symptoms were characterized by the ADHD subscale of the Youth Self Report, a widely used child-report measure that assesses problem behaviour. In addition, they completed the Adolescent Sleep Hygiene Scale and their parents completed the Sleep Disorders Inventory for Students. Participants were divided into two groups based on their scores on the ADHD scale, with students above or below 60 representing the high and low symptom groups, respectively. Analyses of variance (ANOVAs) revealed that students in the high levels of symptoms group had significantly higher levels of symptoms of obstructive sleep apnea, excessive daytime sleepiness, narcolepsy, restless leg syndrome, and delayed sleep phase syndrome, as well as a poorer overall sleep hygiene as compared to typically developing adolescents. Pediatricians and other health care providers should screen adolescents with ADHD for possible sleep disorders and advise them regarding healthy sleep practices.
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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 | 0.000 |
| 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) | 0.001 | 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".