The Characteristics of Allergic Contact Dermatitis in Military and Civilian Populations: A Multicenter Cross-Sectional Study
Bibliographic record
Abstract
Abstract: Background: Contact dermatitis is a common condition in the general population, with a global prevalence of 20%. It is an inflammatory skin disease that is classified as irritant contact dermatitis (80%) and allergic contact dermatitis (ACD) (20%). In addition, it is the most common presentation of occupational dermatoses and is one of the primary reasons for seeking medical attention among military personnel. Only few studies have compared the characteristics of contact dermatitis in soldiers and civilians. Objective: To compare the characteristics of ACD between civilians and soldiers. Methods: This large retrospective study was conducted in Israel and involved 1800 civilians and 750 soldiers with suspected ACD. All patients underwent relevant patch tests based on their clinical presentation and medical history. Results: At least 1 positive allergic reaction was found in 382 civilians (21.22%) and 208 soldiers (27.73%) (nonsignificant). Moreover, 69 civilians (18.06%) and 61 soldiers (29.32%) had at least 1 positive occupational allergic reaction ( P < 0.05). Widespread dermatitis was significantly more common among soldiers. The most frequent occupations among civilians with positive allergic reactions were hairdressers/beauticians. “Professional, technical, and managerial occupations” were the most frequent categories among soldiers (24.6%), with computing professionals being the most common occupation (46.67%). Conclusion: Military personnel and civilians have different characteristics associated with ACD. Therefore, considering these characteristics before placement in a workplace can help prevent ACD.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".