204 Changes in Physical Activity During the COVID-19 Pandemic Associated with Changes in Sleep
Bibliographic record
Abstract
Abstract Introduction The COVID-19 global pandemic has likely led to changes in physical activity as behavioral patterns were disrupted. This is important because sleep and physical activity are interrelated and promote health, and well-being. This study examined whether changes to physical activity were related to changes to sleep health as a result of the COVID-19 pandemic. Methods A sample of N=419 US adults completed online surveys about sleep and COVID-19 experiences. Participants were asked to estimate the number of minutes per day they engaged in physical activity during the pandemic, as well as before. These were subtracted from each other, and a difference score was computed. Then, responses were categorized as no change (<=15 mins difference), 16-45 minutes more or less activity, or 46+ minutes more or less activity (5 categories total). Outcome variables included the degree to which participants believed that due to the pandemic, they experienced (1) more schedule regularity, (2) better sleep, (3) worse sleep, (4) more difficulty falling asleep, (5) more difficulty maintaining sleep, (6) more sleepiness, and (7) more napping. Ordinal regressions were adjusted for age, and sex. Results Those who increased their activity by over 45 minutes per day reported that they were less likely to experience more daytime sleepiness (oOR=0.28, p<0.02). Those who decreased their activity by over 45 minutes per day reported that they were more likely to experience worse sleep (oOR=2.38, p<0.01) and less likely to experience a more regular schedule (oOR=0.37, p<0.003) than prior to the pandemic. Conclusion Overall, those who increased their physical activity since the beginning of the pandemic reported less daytime sleepiness; and those who decreased their physical activity reported worse sleep experiences and a more irregular schedule. The relationship between physical activity and sleep during the pandemic may be bidirectional. Support (if any) R01MD011600, R01DA051321
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".