Psychological distress is related to poor health behaviours in COPD and non-COPD patients: Evidence from the CanCOLD study
Bibliographic record
Abstract
BACKGROUND: Patients with psychiatric disorders (depression, anxiety) are more likely to have poor health behaviours, including higher smoking and lower physical activity (PA) levels. Smoking is a major risk factor for Chronic Obstructive Pulmonary Disease (COPD), and PA is critical for COPD management. However, no studies have assessed associations between psychological distress and these behaviours among patients with vs without COPD. This is a sub-analysis of the CanCOLD study that assessed the relationships between psychological disorders (depression, anxiety) and poor health behaviours (smoking, PA). METHODS: 717 COPD and 797 matched non-COPD individuals from the CanCOLD study, completed the Hospital Anxiety Depression Scale (HADS) to assess anxiety and depression. Smoking behaviour was self-reported pack-years smoking. The CHAMPS PA questionnaire determined calorific expenditure as a PA measure. Regressions determined relationships between anxiety/depression and health behaviours, adjusting for age, sex, BMI, GOLD stage and COPD status. RESULTS: Across the whole sample, we observed relationships between depression (β = 1.107 ± 0.197; 95%CI = 0.691-1.462; p < .001) and anxiety (β = 0.780 ± 0.170; 95%CI = 0.446-1.114; p < .001) and pack years. Higher depression (β = -0.220 ± 0.028; 95%CI = -0.275 to -0.165; p < .001) and anxiety (β = -0.091 ± 0.025; 95%CI = -0.139 to -0.043; p < .001) scores were related to lower PA. These associations were comparable across COPD and non-COPD patients. CONCLUSIONS: Results showed that higher levels of anxiety and depression were related to higher cumulative smoking and lower levels of PA in patients with and without COPD, suggesting symptoms of psychological distress is similarly associated with poorer health behaviours in COPD and non-COPD individuals. Future studies need to determine if treating symptoms of psychological distress can improve health behaviours and outcomes in this population.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".