Effect of occupational aluminum exposure on cognitive function among informal aluminum foundry industry workers
Bibliographic record
Abstract
Background: Occupational exposure to aluminum can potentially cause health problems for workers in the aluminum foundry industry, which might associate with cognitive impairment. However, studies in the informal aluminum foundry industry are still very limited. This study aimed to determine the relationship between aluminum exposure and cognitive impairment in informal aluminum foundry workers. Methods: This study used a cross sectional design with logistic regression analysis. Seventy-nine workers in the informal aluminum foundry industry participated in this study. Aluminum in urine was measured using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Cognitive function was measured using the Montreal Cognitive Assessment-Indonesian version (MoCA-Ina) instrument. Results: A total of 69.6% of the subjects experienced cognitive impairment. There was a statistically significant relationship between urinary aluminum levels and cognitive impairment. Multivariate logistic regression analysis showed that urinary aluminum levels (adjusted odds ratio (aOR) = 6.550; 95% confidence interval (CI) = 1.281-33.499) and length of education (aOR = 16.885; 95% CI = 2.042 – 139.604) were associated with cognitive impairment, with cut-off value set at 45.985 µg/L. Other results showed that workers with less than 7 years of formal education have a 16.885 times higher risk of experiencing cognitive impairment. Conclusion: Workers with urinary aluminum levels ≥45.985µg/L and formal education fewer than 7 years have a higher risk of having cognitive impairment. Regular bio-monitoring of workers' urinary aluminum levels and adequate aluminum exposure control efforts are needed to prevent cognitive impairment in informal aluminum foundry workers.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".