Physical activity and its associated factors in Canadian individuals with and without COPD: a sub-analysis from the CanCOLD study
Bibliographic record
Abstract
ABSTRACT \n\nBackground\nChronic Obstructive Pulmonary Disease (COPD) has a prevalence of 500.000 in Canada and an estimated equal number of individuals undiagnosed. Dyspnea in COPD patients decreases physical activity (PA), which is related to high mortality. Studies on associated factors of PA in the COPD population give insight in who are more prone to worse outcomes. However, studies on related factors of PA in COPD lack in participants from general population samples. \nAim\nTo assess the relationship between symptom burden and diagnosis status with moderate PA levels in individuals with COPD, and explore possible predictive factors of PA in individuals with and without COPD.\nMethods\nFrom the CanCOLD cohort 1561 individuals from a general population were assessed in this sub-study. The study included participants with mild to severe COPD, healthy individuals and those who are at risk and included patients that were newly diagnosed at enrollment of study. Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire measured PA levels in all participants. Differences between COPD groups, categorized respectively in low-high symptom burden and diagnosed-undiagnosed, were tested. General Linear Modeling (GLM) was performed for associations of symptom burden and diagnosis status with PA in patients with COPD and for exploration of possible predictors in COPD and non-COPD participants. \nResults\nSignificant associations were found between high symptom burden and lower PA in the total COPD group and in moderate to severe COPD. Undiagnosed patients were significantly more active than diagnosed patients, for the total COPD group and for moderate to severe COPD. PA was lower in mild COPD with high symptom burden, however this result failed to be significant. Other factors, such as poor exercise habits showed significant associations with lower PA levels in both COPD and non-COPD participants. \nConclusion and key findings \nAs health symptom burden is associated with PA, this factor could help identify patients with mild to severe COPD and undiagnosed COPD that are less active. Follow-up of the study population is needed to investigate if health status and other predictors for low PA levels indeed show deterioration in PA levels and progression or onset of COPD.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".