0749 Adolescents’ Self-Reported Insomnia, Subjective Experiences And Objective Sleep Measures During The COVID-19 Pandemic
Bibliographic record
Abstract
Abstract Introduction Studies examining adolescents’ sleep during the COVID-19 pandemic yielded inconsistent results, with some studies finding a significant increase in insomnia symptoms but others finding no change. A majority of these studies used retrospective or concurrent reports of insomnia symptoms and did not include objective sleep measures, making it impossible to know the extent to which the reported symptoms were associated with actual sleep patterns. In addition, these studies did not account for factors that might have biased adolescents’ subjective reporting of insomnia such as negative emotions or high levels of pre-bedtime cognitive arousal. The goal of the present study was to examine the associations of self-reported symptoms of insomnia among typically developing adolescents with their emotional experiences, cognitive arousal at bedtime, and objective sleep measures during the COVID-19 pandemic. Methods Participants. Seventy-six adolescents (33 female, M(SD) age = 13.74(0.87) years). Procedure. Each participant’s sleep pattern was assessed in the home environment using actigraphy and a sleep log for seven consecutive nights in 2021. Adolescents provided information regarding their experiences during the COVID-19 pandemic using the COVID-19 Adolescent Symptom & Psychological Experience (CASPE) questionnaire; information regarding their arousal at bedtime using the Pre-Sleep Arousal Scale and information regarding the insomnia symptoms using the Insomnia Severity Index. Results Principal-component analysis produced a three-factor solution for the CASPE labeled as Negative-Anxious, Negative-Angry and Positive Emotions. Hierarchical regression analysis was conducted to examine the cross-sectional associations among adolescents’ emotional responses and subjective and objective sleep measures during the COVID-19 pandemic. Being a girl, reporting high level of pre-bedtime cognitive arousal and high Negative-Anxious emotions accounted the explained variance in adolescents’ self-reported insomnia symptoms. Actigraphy measured sleep efficiency, latency or duration did not increase significantly the explained variance. Conclusion These findings suggest that documentation of adolescents’ insomnia during the COVID-19 pandemic might have captured adolescents’ negative emotions rather than their objective sleep patterns. Limitations The cross-sectional design of this study limits the ability to determine causality. Support (if any) CIHR, SSHRC
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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 | 0.002 |
| 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) | 0.002 | 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".