Adolescent and young adult sleep and sleep-related behaviour change before and during the COVID-19 pandemic lockdown in Canada
Bibliographic record
Abstract
Background: Sleep disturbance is common in adolescents and young adults (AYAs), impacted by stress and academic/scheduling demands that conflict with biological phase delay. COVID-19 lockdowns allowed us to study sleep in AYAs when there are lessened scheduling demands. Additionally, we could test whether a sleep self-management app was helpful during lockdowns. Method: = 40) completed sleep diaries on the app; set goals based on generated feedback; and completed more sleep diaries pursuing whatever post-feedback goals they set. Results: The Lockdown group reported later and less variable rise times (RT) and spent more time in bed (TIB), both awake and asleep. Pre-Lockdown set a goal to reduce RT variability whereas Lockdown set a goal to decrease TIB, and AYAs made behaviour changes to meet their goals. For both groups, sleep onset, duration of awakenings, sleep duration and efficiency, and insomnia severity significantly improved at endpoint. Conclusions: AYAs slept differently during lockdowns, perhaps due to decreased scheduling. The pandemic revealed the need for accessible strategies to improve sleep health. Findings support the feasibility of using evidence-based apps, and that AYAs can effectively use self-management tools across variable global and social contexts to improve their sleep.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 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".