Exposure to Pesticides and Non-Hodgkin Lymphoma in Canadian Women
Bibliographic record
Abstract
ISEE-103 Objective: Exposure to pesticides is recognized as an important environmental factor associated with increased risk of cancer. The study examines the association between exposure to pesticides and the risk of non-Hodgkin lymphoma (NHL) in Canadian women. Material and Methods: Mailed questionnaires were completed by 789 incidents, histologically confirmed cases of NHL, and 2492 population controls between 1994 and 1997 in 8 Canadian provinces. Measurement included information on socioeconomic status, lifestyle habits, diet, occupation, or nonoccupational exposure to pesticides and years of exposure. Odds ratios (ORs) and 95% confidence intervals (CIs) were derived through unconditional logistic regression. Results: Exposure to pesticides had an increased risk of NHL. Compared with no exposure to pesticides, the OR was 1.5 (95% CI, 1.1–2.0). ORs increased with increasing exposure in years to pesticides (OR, 1.2 for 1–3 years exposure and 1.5 for >3 years). It was notable that 65% Canadian women exposed to pesticides at home and 30% in both at home and at work. Only 5% women exposed to pesticides at work. Conclusions: Case-control and cohort studies have given particular attention to agricultural pesticide use and risk of NHL. Most studies were focused on men. A number of studies reported that occupational exposure to pesticides increased the risk of NHL. We found that nonoccupational exposure to pesticides may play a major role in the etiology of NHL in Canadian women. Our findings add to the evidence that exposure to pesticides increased the risk of NHL.
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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 | 0.003 | 0.002 |
| 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".