0918 Quebec Adolescents’ Insomnia Symptoms, Mental Health & Access to Sleep Care
Bibliographic record
Abstract
Abstract Introduction Our school boards are part of the Quebec Center Of Excellence For Mental Health, and are thus mandated to identify and then prevent/treat factors that could negatively affect the mental health of their students. As part of this mission, we conducted a study that aimed 1) to examine the prevalence of insomnia in typically developing students in Quebec and their associations with students’ mental health, and; 2) to assess student access to behavioral sleep interventions in Quebec. Methods 145 (Age 15.53+1; 75 Girls, 70 Boys) typically developing students. Insomnia symptoms were measured using the Insomnia Severity Index. Sleep was measured by Actigraphy. The Youth Self Report was used to measure students mental health. Access to care was measured using a detailed questionnaire. Results The key findings were: 1) 45% of the students reported poor sleep quality, dysfunction during the day due to sleepiness, difficulty falling or staying asleep, and excessive daytime sleepiness. Total scores on self-reports sleep measures were positively significantly correlated with Actigraphy measures of sleep duration and quality and with each other; 2) Robust positive associations were found between insomnia and psychiatric symptoms after adjusting for common risk factors, including age, socioeconomic status, and gender; 3) None of the students had access to sleep care and 25% of them reported using over-the counter sleep aids with minimal success. Conclusion These findings are alarming because they show that: 1) insomnia symptoms are prevalent in Quebec students and are strongly associated with the symptomatology of mental distress in students who do not meet the diagnostic criteria of a psychological disorder, and; 2) these students do not have access to insomnia care. These findings suggest that treatment of insomnia could offer an incredible opportunity to protect and improve the sleep and the mental health of these students. Support Canadian Institute of Health Research grant to Reut Gruber
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".