Astım Hastalarında Astım Kontrolünün Beden Algısı ve Semptom İfadesi ile İlişkisi
Bibliographic record
Abstract
Objective: Asthma is a chronic disease characterized by persistent airway inflammation, even though symptoms appear episodically.Chronic inflammation in the airways leads to bronchial obstruction, edema, remodeling, and mucus hypersecretion.Disease control in asthma patients is evaluated using respiratory function tests and scales.This study investigated the relationship between asthma control and quality of life with excessive body sensation and the adequacy of symptom expression in asthma patients. Material and Methods:The Asthma Control Test (ACT), SF-36 Quality of Life Scale (SF-36), Body Sensation Questionnaire (BSQ), and Toronto Alexithymia Scale (TAS-20) were administered to patients followed up with a diagnosis of asthma.The study group consisted of outpatients diagnosed with asthma in a stable period.The scales were applied to each patient once during outpatient control, and the relationships among them were investigated.Results: Sixty patients were included in the study.A significant correlation was found between the Asthma Control Test and SF-36 quality of life scores.An inverse correlation was found between the Body Sensation Questionnaire and the Asthma Control Test (p=0.011,r=-0.327).According to the control of asthma; Body Sensation Questionnaire scores were 14.0±9.07 in full control and 14.40±13.63 in partial control, while it was significantly 21.95±11.07(p<0.05) in uncontrolled patients.It has been shown that individuals with a high BSQ score use a higher rate of reliever inhalers.Conclusion: This study demonstrated that exaggerated symptom perception could decrease Asthma Control Test scores and lead to increased medication use.It is necessary to identify new methods and increase objectivity in the evaluation to provide symptom control.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".