Risk factors associated with work-related musculoskeletal disorders in dentistry
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
PURPOSE: To evaluate musculoskeletal system-related complaints; identify regions at risk in dentists by observing and inquiring the dentists at work; and find out the associations with age, sex, working years, academic position and departments, positions during work and daily working hours. METHODS: Modified Nordic Questionnaire (m-nMQ) was used to evaluate pain, hospital admissions and absenteeism. Quick Exposure Check (QEC) form was utilized to assess risk exposure levels related with low-back, neck, hand-wrist and shoulder-arm. RESULTS: 163 dentists were included the most painful regions were found to be back (66.9%), neck (65%) and low back (64.4%). Musculoskeletal symptoms were more prevalent in women and research assistants. QEC scores were found to be lower in those who performed regular exercises. CONCLUSION: Dentists should be educated about ergonomics at the beginning of their professional life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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