The prevalence of neck pain, back pain and low back pain among third-year medical students at universities in the metropolitan region of Porto Alegre in times of Covid-19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To determine the prevalence of cervical, dorsal and lumbar pain caused by switching to remote classes during the Covid-19 pandemic. Methods: This is an original article based on a cross-sectional study among men and women over the age of 18 who are third-year medical students to assess the incidence of neck pain, back pain and low back pain, using online forms with questions about physical and mental health. Results: Around 60% of the participants said they had adapted their study environment because of the remote classes, with a further 70% saying they were attending classes in the office, with their backs poorly supported. In addition, there was a low number of overweight students who performed daily stretching. Conclusion: The data was analyzed using tables, descriptive statistics and the statistical test: Mann-Whitney Non-parametric Test and Krsukal-Wallis Non-parametric Test and the importance of further research was highlighted, given that this research topic is essential for the prevention of possible comorbidities.
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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 | 0.081 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it