Primary osteoarthritis and occupations: a national cross sectional survey of 10 412 symptomatic patients
Bibliographic record
Abstract
AIMS: To describe the age standardised prevalence of symptomatic osteoarthritis (OA) in a nationwide cross sectional survey of 10 412 patients in France, and their functional and work limitations. METHODS: Cases in the survey were compared with their expected counterpart by age, gender, and occupational groupings using data from the 1998 French National Survey on Health Impairment and Disability. RESULTS: Women represented 66.2% of the sample; mean age was 66.2 years. One third of patients had OA of the knee, 16% of the hip, and 12% of the hand; a third had multiple joint OA. Peak prevalence of symptomatic OA was in the 60-69 year category in women and in the 70-79 year category in men. Agricultural workers showed a significant excess prevalence of OA, with an observed to expected (O/E) ratio of 1.7 in women and 2.3 in men. Linear trends in prevalences between white collar, "mixed" collar, and blue collar workers were also significant, with odds ratios respectively of 1.0, 2.9, and 2.6 in women and 1.0, 1.2, and 1.7 in men. Specific excess prevalence was found in women among housekeepers (O/E 4.4), and in men among unskilled labour workers (O/E 10.3) and truck drivers (O/E 6.7). Total work disability was highest among blue collar workers and partial disability among agricultural workers. CONCLUSION: Results contribute to the mounting evidence that OA is potentially aetiologically linked to occupation in a sizeable segment of the population and that OA can no longer be considered an inevitable disease of ageing.
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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 | 0.000 |
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".