Impact of chronic airflow obstruction in a working population
Bibliographic record
Abstract
Data on the individual and collective impact of chronic airflow obstruction at a population level are scarce. In a nationwide survey, dyspnoea, quality of life and missed working days were compared between subjects with and without spirometrically diagnosed chronic airflow obstruction. Subjects aged > or =45 yrs were recruited in French health prevention centres (n = 5,008). Results of pre-bronchodilator spirometry and questionnaires (European Community Respiratory Health Survey-derived questionnaire and European quality of life five-dimension questionnaire) were collected. Adequate datasets were available for 4,764 subjects aged 60+/-10 yrs (only 2% were aged > or =80 yrs). The prevalence of airflow obstruction (forced expiratory volume in one second/forced vital capacity of <0.70) was 7.5%. The vast majority (93.9%) of cases had not been diagnosed previously. Health status was significantly influenced by dyspnoea. Both were associated with the number of missed working days. Despite mild-to-moderate severity, subjects with chronic airflow obstruction exhibited more dyspnoea, poorer quality of life and higher numbers of missed working days (mean 6.71 versus 1.45 days.patient(-1).yr(-1) in patients without airflow obstruction, for the population with no known heart or lung disease). In conclusion, even mild-to-moderate airflow obstruction is associated with an impaired health status, which represents an additional argument in favour of early detection in chronic obstructive pulmonary disease.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".