Association Between Depression, Lung Function, and Inflammatory Markers in Patients with Asthma and Occupational Asthma
Bibliographic record
Abstract
OBJECTIVE: Depression is associated with autonomic and immune dysregulation, yet this remains poorly explored in asthma. We assessed associations between depressive disorder, lung function, and inflammatory markers in patients under investigation for occupational asthma (OA). METHODS: One hundred twelve patients under investigation for OA (60% men) underwent a psychiatric interview to assess depressive disorder, and spirometry, a methacholine test, sputum induction, and specific inhalation challenge (SIC) to assess OA. Blood and sputum inflammatory markers were assessed. RESULTS: There was a statistically significant association between depressive disorder (P = 0.0195) and forced expiratory volume in 1 second (FEV1) responses, with the drop in FEV1 post-SIC smaller in patients with OA and depression, versus OA with no depression (P < 0.001). CONCLUSION: The presence of depressive disorder may influence FEV1 in patients with OA, which may be via autonomic pathways. However, further studies are warranted in order to determine the mechanisms that underlie these effects.
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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 | 0.002 |
| 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) | 0.001 | 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".