Sleep-Related Issues in Children and Adolescents Presenting at Community Mental Health Clinics.
Bibliographic record
Abstract
OBJECTIVE: To examine sleep-related issues in children and adolescents presenting at community clinics with diverse mental health concerns using a brief sleep questionnaire and to examine whether sleep issues would improve with mental health interventions. METHOD: Study 1: A questionnaire-based study that used a modified version of the Pittsburgh Sleep Quality Index to measure sleep-related issues in youth aged 4-18 years presenting at community mental health clinics. Study 2: A pre/post-treatment study that used the same questionnaire to measure changes in sleep-related issues in youth aged 4-19 years participating in a group mental health intervention. The main outcome measure for both studies was global sleep score. RESULTS: Using the recommended cut-off score of 5, 31% of children aged 4-11 years and 71% of adolescents aged 12-18 years had problematic sleep. Sleep-related issues did not differ by presenting mental health concern. The group intervention was associated with improved sleep for parent-reported child sleep and self-reported adolescent sleep, but not for parent-reported adolescent sleep. CONCLUSIONS: Problematic sleep is very common in youth with mental health concerns. More research is needed to understand best practices for assessment and treatment of sleep issues that are comorbid with mental health issues in children and adolescents.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".