Previous physical activity level as a predictor of cognitive and emotional status during acute exacerbation of COPD
Bibliographic record
Abstract
Introduction: Sedentary behavior has been shown to be associated with adverse health outcomes in middle to older age adults and patients with COPD. However no previous studies have determined if previous PA levels are related to cognitive and emotional status when COPD patients suffer an exacerbation. Objective: The aim of this study was to examine the association between previous PA levels and cognitive and emotional status during an exacerbation of COPD. Methods: An observational study was performed. Patients admitted to the Pneumology Service of Complejo Hospitalario Universitario de Granada suffering an exacerbation of COPD were included. PA was assessed using the modified Baecke questionnaire, cognitive impairment was measured using the Montreal Cognitive Assessment (MoCA) and emotional status was evaluated using the Hospital Anxiety and Depression Scale (HAD). Results: 151 patients were finally included, and divided in two groups according to PA (cut off point 9). 40 patients were included in the non-sedentary group and 111 patients in the sedentary group. Significant differences (p<0.05) have been shown on visuoconstructional, attention, language, orientation MoCA subscores and MoCA total score, as well as in HAD subescales and total score between sedentary and non-sedentary patients. Additionally, PA levels are correlated to cognitive and emotional status, so that, higher previous PA levels are related with a better cognitive status and better emotional status. Conclusions: Previous physical activity can predict cognitive and emotional status in patients hospitalized due to acute exacerbation of COPD.
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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 | 0.002 |
| 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 | 0.000 |
| 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".