PHYSICAL ACTIVITY, EATING AND SLEEP IN ATHLETES ONE YEAR AFTER THE COVID-19 PANDEMIC
Bibliographic record
Abstract
ABSTRACT Introduction: The pandemic caused by COVID-19 has resulted in worrying effects related to the “new” habits adopted by the population. The long period of school closures and social isolation have profoundly impacted the learning, health, and protection of children and adolescents. Objective: To re-evaluate school athletes quarantined by COVID-19, highlighting the main physical activity (PA), eating and sleeping habits, and the implications related to physical and mental health after one year of the pandemic in the city of Curitiba, Brazil. Methods: Two surveys were conducted, 342 attended the first assessment, and 222 attended the second. An online questionnaire (Google docs) was applied to the students, consisting of 18 closed and open questions in the first moment (beginning of the pandemic) and 22 at the second moment (after one year of the pandemic). Results: Half of the students (53.2%; 57%) reported eating up to three meals daily. With regard to sleeping hours, the majority of students (80%; 79.5%) were able to sleep at night between 6:00 and 10:00. There was a significant decrease in the time spent on social networks, migrating to school activities (p <0.005). Approximately a quarter of the student-athletes (27%) practiced PA every day and felt fulfilled in the first assessment, and in the second assessment, this number increased to 43% (p = 0.009). Conclusion: Despite the decrease in screen time and the increase in regular PA, there was an increase in body weight in more than a third of the athletes evaluated. Those who maintained their body weight maintained healthier lifestyles with several meals within the recommended range and slept 6 to 10 hours per night. Level of Evidence III; Retrospective comparative study.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".