Epidemiology of chronic respiratory diseases and associated factors in the adult Italian population
Bibliographic record
Abstract
Background: Detailed epidemiology of Chronic Respiratory Diseases (CRDs) and of their risk and protective factors is needed to plan preventive interventions to reduce the burden of CRDs on population health. This study determines the prevalence of doctor-diagnosed CRDs and its associated factors in the adult Italian population. Methods: Data was collected from adults participating in the ongoing cross-sectional Italian Behavioural Risk Factor Surveillance System (PASSI) between 2013 and 2015. Results: Among 108 705 respondents, 7.0% reported a CRD (3.4% asthma, 2.6% COPD, 1.0% Asthma-COPD Overlap Syndrome). Current smoking was more frequent in the group with CRD compared to those without (30.8% vs. 25.2%, P < 0.001), as was physical inactivity (41.9% vs. 36.4%, P 0.009) and overweight/obesity (52.4% vs. 41.4%, P 0.009). Adults with CRDs also reported appropriate perception of insufficient physical activity and excessive body weight, adopted protective behaviours and received preventive interventions more often than those without CRDs. Conclusions: Italian adults with CRDs are more likely to be exposed to aggravating factors but are also knowledgeable of their condition and amenable to behaviour change. Since effective interventions for modifying these factors are available, there is an opportunity to reduce the significant disease burden of CRDs through specifically targeted health promotion interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.010 |
| 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) | 0.000 | 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 teacher head, 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".