Physician education on World Asthma Day aids in disease management during the COVID-19
Bibliographic record
Abstract
Anxiety and depression can negatively affect the management of asthma. The study aimed to assess the psychosocial effects of asthma patients during COVID-19 and analyze potential risk factors and interventions.In June 2022, the "Questionnaire Star" electronic questionnaire system was used to collect data. A total of 98 asthma patients from the affiliated hospital of the medical school of Ningbo University were invited to complete the questionnaires. According to our study, the prevalence of symptoms of anxiety and depression in the asthma patients in the institution was 91.8 and 77.6%, respectively. Patients who had an asthma exacerbation in the previous two months were more likely to have anxiety symptoms (OR = 0.142 95%CI 0.025-0.820), while patients who did not participate in asthma day activities were more likely to have anxiety symptoms than those who did (OR = 0.130 95%CI 0.022-0.762).This study found that routine disease educational lectures on asthma day can successfully alleviate asthma sufferers' anxiety and depression.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".