Sleep health characteristics and positive mental health in Canadian youth: A cross-sectional analysis of the Health Behaviour in School-aged Children study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: This study investigated the associations between specific sleep health characteristics and indicators of positive mental health among Canadian youth in grades 6-10. METHODS: We used cross-sectional data from the Canadian 2017/2018 Health Behaviour in School-aged Children study, a nationally representative sample of Canadian students. Our analyses included 14,868 participants (53.1% girls). We assessed the following self-reported characteristics of sleep health: nighttime insomnia symptoms, sleep duration, problems with daytime wakefulness, and weekend catch-up sleep. Positive mental health measures included self-reported life satisfaction, positive affect, self-efficacy, and self-confidence. Logistic regression models were used to assess associations while controlling for confounders. RESULTS: Participants who had no or little nighttime insomnia symptoms, who met sleep duration recommendations, who had no or rare daytime wakefulness problems, and who had no or little weekend catch-up sleep were more likely to report high life satisfaction (range of adjusted odds ratios=1.29-2.50), high positive affect (range of adjusted odds ratios=1.35-3.60), high self-efficacy (range of adjusted odds ratios=1.22-2.54), and high self-confidence (range of adjusted odds ratios=1.28-2.31). Almost all of the associations remained significant in the gender- and age-stratified analyses. CONCLUSION: The findings suggest that good sleep health is associated with higher odds of positive mental health among Canadian youth in grades 6-10. Further research is needed to understand the temporality of the associations and the underlying mechanisms.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.000 | 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 it