Serum uric acid and risk of occupational disability: Findings from a cohort study of male construction workers in Germany
Bibliographic record
Abstract
OBJECTIVE: The role of serum uric acid (UA) as an independent risk factor for several health outcomes remains controversial. However, given the accumulating evidence that UA is related to predictors of occupational disability such as obesity, excessive alcohol consumption, hypertension, and diabetes mellitus, UA may represent a relevant risk indicator for occupational disability, which has emerged as an important public health problem. METHODS: The association between UA and occupational disability was examined in a cohort of 16,532 male construction workers in Germany who underwent occupational health examinations from 1986 to 1992 and were followed until 2005. Cox regression analysis was employed with adjustment for established risk factors. RESULTS: A total of 3,002 cases of disability pension occurred during the followup. Risk of all-cause occupational disability was significantly increased for UA concentration in the top quartile (hazard ratio [HR] 1.25, 95% confidence interval [95% CI] 1.12-1.40) after adjustment for potential confounders when compared with UA levels in the lowest quartile (≤ 5.23 mg/dl). Cause-specific analysis revealed a significant association between increased UA and occupational disability due to cardiovascular diseases (HR 1.62, 95% CI 1.20-2.17). In addition, positive but statistically nonsignificant associations were observed for occupational disabilities due to respiratory diseases (HR 1.78, 95% CI 0.99-3.23), musculoskeletal disorders (HR 1.16, 95% CI 0.98-1.37), diseases of the digestive system (HR 1.59, 95% CI 0.69-3.67), and mental disorders (HR 1.40, 95% CI 0.95-2.06). CONCLUSION: Our study is the first to our knowledge to indicate that increased UA might also serve as a potential independent risk indicator for occupational disability, in particular due to cardiovascular diseases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 source (direct Gemma or distilled Codex), 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".