Cutaneous and respiratory symptoms among professional cleaners
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Occupational dermatitis is very common and has a large economic impact. Cleaners are at an increased risk for both work-related cutaneous and respiratory symptoms. AIMS: To compare the prevalence of occupational cutaneous symptoms among professional indoor cleaners to other building workers (OBW) and to determine associations with exposures and with respiratory symptoms among cleaners. METHODS: A questionnaire completed by indoor professional cleaners and OBW to compare rash and respiratory symptoms between these groups examined workplace factors such as training, protective equipment and work tasks. RESULTS: In total, 549 of the 1396 professional cleaners (39%) and 593 of the 1271 OBW (47%) completed questionnaires. The prevalence of rash was significantly higher in the cleaners compared to the OBW. For male cleaners, 21% (86/413) had a rash in the past 12 months compared to only 11% (13/115) of OBW (P < 0.05). The rashes experienced by the cleaners were more likely to be on their hands and worse at work. Cleaners washed their hands significantly more often than OBW. Cleaners with a rash were less likely to have received workplace training regarding their skin and were more likely to find the safety training hard to understand. Cleaners with a rash within the past year were significantly more likely to have work-related asthma symptoms than cleaners without a rash (P < 0.001). CONCLUSIONS: This study demonstrates a strong link between work-related symptoms of asthma and dermatitis among cleaners. Effective preventive measures, such as the use of protective skin and respiratory equipment, should be emphasized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it