#TrainingInHome - Home-based training during COVID-19 (SARS-COV2) pandemic: physical exercise and behavior-based approach
Bibliographic record
Abstract
Coronavirus is part of a group of viruses responsible for seasonally causing acute respiratory syndromes that can be accompanied from mild symptoms to severe conditions with a significant mortality rate. In addition to hygiene care, social distance is one of the most efficient strategies to mitigate the spread of the virus and reduce impacts on the world. Therefore, government strategies have directed efforts to ensure the isolation at home of much of the world"™s population. One of the strategies that has been considered an important tool to facilitate adherence to isolation is the encouragement of regular physical exercise, especially due to its ability to reduce feelings of anxiety and stress in the population. Thus, in parallel with the expansion of coronavirus in the world, the search for exercise at home has gained prominence on the internet, demonstrating the emerging need to think of strategies that can lead to an effective home practice in promoting adherence to a physically active lifestyle. On the other hand, some pertinent questions may arise, such as: how will the exercise prescription and follow-up of the population be carried out during this period? What guidelines should be followed for a safe and efficient prescription? What types of exercises should be prioritized? What are the criteria for this selection? Based on these questions, this study aimed to present a proposal, integrating the physiological and psychobiological aspects, of how physical exercise could be prescribed at home, considering the barriers faced by the population in the face of social isolation worldwide. In summary, here we suggest a prescription model that estimates the weekly performance of at least 150 minutes of aerobic exercises, as well as strength exercises for the main muscle groups. In addition, we guide the use of tools that allow the assessment of physical effort and personal satisfaction in training, with the aim of improving adherence and maintenance to a physical exercise program and thus contributing to health promotion during the COVID-19 pandemic.Palavras-chave: exercice prescription, home training, lifestyle, pandemic Covid-19
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".