Prevalence of Peanut Allergy in Offspring of Peanut Farmers
Bibliographic record
Abstract
Introduction: While exposure to environmental peanut during infancy appears to promote sensitization by the epicutaneous route, early and frequent peanut ingestion during infancy may prevent peanut allergy through oral tolerance. Due to parental occupation, the offspring of peanut farmers are likely exposed to peanut protein in their environment, but they may also have early introduction into their diet due to ready access. The purpose of this study was to determine the prevalence of peanut allergy in offspring of peanut farmers. Methods: A survey was mailed by the National Peanut Board to peanut farmers in the United States collecting information on peanut consumption, peanut reactions, physician-confirmed peanut allergy (PA), epinephrine auto-injector prescription and history of other allergies in offspring. Egg allergy (EA) served as a comparator to peanut allergy. Results: Of 10,349 households surveyed, 1050 responses were received (2493 offspring, participation rate 10%). The self-reported prevalence of peanut allergy in the general population in the USA is 0.9%, 1.3%, and 0.7% for children 0 - 5 years, 6 - 10 years, and 11 - 17 years, respectively. In offspring of peanut farmers, PA vs EA was reported in 3.69% (10/271) vs 2.6% (7/271), 2.8% (14/493) vs 2.0% (10/493), and 1.48% (37/2493) vs 1.4% (35/2493) of offspring ≤10 years, offspring ≤15 years and all offspring, respectively. Physician-confirmed PA was reported in 3.3% (9/271), 2.6% (13/493), and 1.24% (31/2493) in the three groups, respectively. Physician-confirmed PA with epinephrine auto-injector prescription was reported in1.8% (5/271), 1.8% (9/493), and 0.68% (17/2493) in the three groups, respectively. Conclusions: We found that the self-reported prevalence of peanut allergy in offspring of peanut farmers was similar to that reported in the general population. This is a unique population that may provide insight into factors that influence development of peanut allergy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".