ERGONOMIC EDUCATION – A TOOL TO MAINTAIN HEALTH
Bibliographic record
Abstract
Objective : To identify the occurrence of leg pain amongst computer users and assess its relation to age, sex, occupation and duration of computer use. Methodology : It was a cross sectional study conducted from January till December 2011. A self reported questionnaire tailored with Occupational Health and Safety Act of the Ministry of Labor, Ontario, Canada was used. Participants were randomly selected; responses analyzed by SPSS software version 15. Chi square test was applied to results and considered significant with p value <0.05 Results : A total of 416 participants responded with mean age of 34.87±8.78 years. There were 231(55.5 %) males. Out of 416, 123(29.5%) participants had work related leg symptoms [66(15.8%) male and 57 (13.7%) female]. Occurrence of leg pain within one to two hours of consecutive work was significantly more in 26-35 and 36-45 year age groups. Postural changes incorporated through frequent short breaks improved leg symptoms in between eight to nine out of ten participants (104/123). The improvement was significantly more in 26-35 and 36-45 year age groups. Leg symptoms showed no relation with the length of computer usage or daily usage or between both sex and working groups. Conclusion : Leg pain/tingling/numbness is an early sign of repetitive injuries that can be timely addressed by ergonomic education and improving postural health through short breaks.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".