The effect of stress on the onset of chronic spontaneousurticaria in the elderly
Bibliographic record
Abstract
Introduction: Chronic spontaneous urticaria (CSU) can occur at every age, however, knowledge of the elderly with CSU is limited.Aim: To examine the relationship between the onset of CSU and previous stressful life events, disease activity, and perceived general stress in the elderly age group.Material and methods: A hundred and sixty-four elderly patients with CSU were included.To evaluate urticaria activity, Turkish-validated seven days Urticaria Activity Score (UAS7) was used.Patients were questioned by physicians to respond "yes" or "no" to evaluate having stress, and their opinion on the relationship between a stressful event and onset of urticaria.Severity of stress level was assessed by using 10-point Visual Analogue Scale (VAS).Patients were divided into two groups according to the VAS.VAS ≤ 5 and > 5 were considered as patients with no stress (Group 1, n = 66), and patients with stress (Group 2, n = 98), respectively.Results: A hundred patients had at least one stressful life event within three months of the onset of CSU.There was a strong correlation between having stress and onset of CSU (r = 0.871, p < 0.001), a positive correlation was determined between VAS and UAS7 (r = 0.418, p < 0.001).Concomitant disease history and UAS7 were significantly higher in Group 2 than in Group 1 (p = 0.018 and p < 0.001, respectively).Conclusions: Stressful life events and perceived high stress may be a trigger for CSU in the elderly.To control CSU in the elderly, having stressful life events should be questioned and multidisciplinary management including psychiatry consultation should be done.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.003 | 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".