Quality of Life and Employment Status of Workers With Western Red Cedar Asthma
Bibliographic record
Abstract
OBJECTIVE: The impact of current employment status and other factors on quality of life was evaluated for workers diagnosed with western red cedar asthma in British Columbia, Canada. METHODS: Telephone interviews by questionnaire included the Short Form 36 (SF-36) and Marks Asthma quality-of-life instruments. RESULTS: Of the 302 subjects contacted, 70.5% (n = 213) participated. Employment status was the most consistent predictor of quality-of-life domains, with highest scores for employed subjects, particularly those who were no longer exposed to red cedar. Subjects who had quit work because of their asthma had worse scores, particularly for vitality and general health perceptions. Other factors independently associated with specific aspects of poor quality of life were having asthma-like symptoms, taking medication, and not being married. CONCLUSIONS: Continued employment was associated with better quality of life for workers with western red cedar asthma.
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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 | 0.000 | 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 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".