Relationship between Distress Related to Caregiver Burden and Physical Activity in Informal Caregivers of Patients with COPD
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) can lead to increased dependence on the informal caregiver and, consequently, to distress associated with caregiving burden. In the general population, higher levels of physical activity (PA) are related to lower distress levels; however, this relationship has been scarcely studied in COPD. This study aimed to explore the relationship between distress and PA in informal caregivers of patients with COPD, and the influence of caregivers’ (age, sex) and patients’ (age, sex, lung function) characteristics and caregiving duration on this relationship.A cross-sectional study was conducted with 50 caregivers (62.7 ± 9.8 years, 88% female; 78% caring for a spouse/partner; 38% caring >40 h/week; patients’ FEV1=45.2 ± 21.3% predicted). Data collection comprised questions related to the caregiving context, distress related to caregiving burden assessed with the Informal Caregiver Burden Assessment Questionnaire (QASCI; total score, 7 subscales), and self-reported PA with the Habitual Physical Activity Questionnaire (HPAQ). Spearman’s correlation coefficient and linear regressions were used.Significant, negative and moderate correlations were found between the QASCI (28.5 ± 19.8) and the HPAQ (5.2 ± 1.3) (ρ=-0.46; p = 0.01); and between the HPAQ and some QASCI subscales (emotional burden ρ=-0.47; implications for personal life ρ=-0.52; financial burden ρ=-0.44; perception of efficacy and control mechanisms ρ=-0.42; p < 0.01). Two linear regression models were tested to predict QASCI total score including as predictors: 1) HPAQ alone (p = 0.001; r2=0.23); 2) HPAQ and caregiving h/week (p < 0.001; r2=0.34).Higher self-reported PA levels are related to decreased levels of distress associated with caregiver burden in COPD caregivers. Duration of caregiving may negatively influence this relationship.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".