OCORRÊNCIA DE SINTOMA OSTEOMUSCULAR EM TRABALHADORES DA INDÚSTRIA METALÚRGICA
Bibliographic record
Abstract
The aim of this study was to verify the occurrence of pain in individuals in the metallurgical industry in the city of Ponta Grossa, PR. The data collection was carried out through the application of five instruments: the first composed of individual issues; the second refers to the Nordic Musculoskeletal Symptoms Questionnaire; the third McGill pain questionnaire; the fourth Roland Morris Disability Questionnaire; and the fifth on the Visual analog scale of pain. These instruments had the objective to identify and characterize the musculoskeletal symptoms related to pain, as well as the body regions most affected. The sample was composed of 74 male employees with an average age of 31 years. The results indicated that the region's most affected were the lumbar spine region with 69%, followed by thoracic spine region with 65%, ankle and foot with 58%, wrist, hands and fingers with 56%, shoulders with 48% , arm with 43%, forearm with 36%, knees with 35%, waist and thigh with 33%, neck with 30% and elbows with 16%. In the workers with musculoskeletal symptoms in lumbar spinal region, it was found that they had a low functional impairment related to their pain. In the multidimensional assessment of pain, it was observed that the category that received the highest percentage was the evaluative category, which is the one that allows the expression of the overall evaluation of the painful experience. As for the painful sensation intensity measured by the Visual analogue scale of pain, has a mean of 6.8 and a standard deviation of 1.8. The scenario researched, identifies the need to promote the guidelines, ergonomic analyses and preventive actions targeting the most appropriate way for the employee to develop their jobs, in order to eliminate or minimize the incidence of musculoskeletal disorders.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.059 | 0.019 |
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; both teacher heads agree on what is shown here.
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".