Determinants of health-related quality of life among residents with and without COPD in a historically industrialised area
Bibliographic record
Abstract
PURPOSE: Chronic obstructive pulmonary disease (COPD) is associated with substantial morbidity, including impaired health-related quality of life (HRQoL). Despite the prominent role of occupational factors in the aetiology of COPD, the relationship between these exposures and HRQoL has not been well elucidated. METHODS: A subpopulation from an epidemiological study, designed to assess the workplace contribution to COPD, was administered the EQ5D HRQoL tool. Demographics, an index of economic deprivation, health endpoints including the presence of COPD and lung function were also recorded. Workplace exposures were categorised using both self-reported exposures and also by the use of an established job exposure matrix (JEM). RESULTS: A total of 623 individuals participated (mean age 67.1 years). One hundred and forty-eight (24%) reported having received a physician diagnosis of COPD, 355 (57%) were male, and 386 (62%) were ever smokers. As anticipated, the presence of COPD was associated with a poorer HRQoL. Additionally, however, HRQoL was significantly lower in the presence of both self-reported vapours, gases, dusts and fumes exposure and JEM-based exposure irrespective of the presence of COPD. Regression analysis, adjusting for a variety of covariates including the presence of COPD, confirmed a persisting higher likelihood of occupational exposure categorised by JEM being associated with poorer HRQoL scores (β estimate: -0.069; p < 0.05). CONCLUSIONS: Our findings suggest that work may have an important link to HRQoL and that this effect can persist even among those who have retired. In those with COPD, HRQoL is worse than among those without this condition, but the work-associated decrement appears to be similar across both groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".