Cumplimiento de las Recomendaciones de Movimiento de 24 horas y Salud en estudiantes universitarios durante el confinamiento por COVID-19
Bibliographic record
Abstract
Objectives: i) examine the proportion of university students who meet Canadian 24-hour movement guidelines (Sleep + Screen + Physical Activity) during COVID-19 lockdown; ii) determine the physical and mental health risks associated with non-adherence with Canadian 24-hour movement guidelines. Method: a convenience sample of 98 university students (64 boys and 34 girls), aged 18-25 years, attending the Sports Science degree at University of Tras-os-Montes e Alto Douro, Portugal, were include. Self-reported physical activity was measured with the International Physical Activity Questionnaire (IPAQ), screen time was assessed with two questions reporting the total of hours and minutes, per weekday or weekend, the students spend watching videos and playing video games, as well as the duration and quality of sleep during the weekdays or on weekends. Results: only 30.6% of the students meet the guidelines for sleep plus physical activity and sedentary behavior. Multivariate logistic regression shows that the variables associated with non-compliance with any of the recommendations are: father's professional status, unemployed or lay-off (OR=10.412, 95%CI: 1.256-86.325), poor and average health perception (OR=24.213, 95%CI: 1.323-443.074) and the quality of sleep, who never and sometimes sleeps well (OR=8.896, 95%CI: 1.807-43.788). Conclusion: students who did not meet with the guidelines were at higher risk of having disturbed sleep and lower self-perception of health.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".