Sleep Difficulties in Preschoolers with Psychiatric Diagnoses
Bibliographic record
Abstract
Background: Sleep problems among preschoolers are highly prevalent. Given the impact of poor sleep quality on development, this relationship is particularly relevant in vulnerable populations but is less documented. This study aims to document parental perception of sleep problems in preschoolers assessed in a psychiatric clinic, as a function of diagnosis type. Methods: Children (14–71 months, n = 228) were evaluated by a psychiatrist, and diagnoses were pooled into four categories: behavioral disorders, relational disorders/psychosocial problems, developmental coordination disorder (DCD), and communication disorders. Sleep problems were measured using the Child Behavior Checklist (CBCL). Results: In this clinical sample of preschoolers, 21.6% of children were identified as having a sleep problem by their parents. Behavioral disorders and communication disorders were associated with increased parental report of sleep problems (respectively, trouble falling asleep and nighttime awakenings), while DCD was associated with lower parental report of sleep problems (fewer nighttime awakenings and less difficulty falling asleep) (p < 0.05). Relational disorders were not associated with parental reports of sleep difficulties (p > 0.05). Moreover, some psychiatric categories were associated with specific sleep symptoms (such as difficulty falling asleep and night awakenings). Conclusion: Parents of preschoolers with behavioral disorders and communication disorders are more likely to report sleep problems in their children than parents of preschoolers with DCD and relational disorders. Since different categories of psychiatric disorders are associated with specific types of sleep complaints, screening, and treatment should be adapted accordingly.
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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 | 0.000 |
| 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) | 0.000 | 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".