The perceived environment and physical activity in heart disease patients
Bibliographic record
Abstract
Background:Several studies in non-diseased populations have shown that a relationship exists between the perceived environment (i.e., home and community) and moderate to vigorous physical activity (MVPA). Yet, little is known about this relationship in people living with heart disease. The purpose of the present study was to shed light on this issue. Methods: 269 patients were recruited that were < 65 years (55%), had < grade 12 education (59.5%), were male (74.3%), had coronary artery disease (51.3%), and had = 1 comorbidity. The patients completed a questionnaire assessing demographic, clinical, perceived home environment (e.g., having access to a treadmill), perceived access to MVPA opportunities in their communities (e.g., having access to walking trails), and physical activity variables at baseline, three, six, nine, and 12 months after hospitalization for heart disease. Charts were reviewed for height, weight and clinical diagnosis.Results:In terms of the home environment, partial correlations (i.e., controlling for age, gender, education, and season) between MVPA and each home environment variable showed that having skis (i.e., water and / or snow) was significantly related to increased MVPA at baseline (r = .14) and 6 months after hospitalization (r = .23), whereas having access to skates was also significant at 6 months (r = .13). In terms of the community environment, having access to courts (e.g.,tennis, basketball, etc…) was significantly related to MVPA 3 months after hospitalization (r = .21), whereas having access to walking paths was significantly related 9 months after hospitalization (r = .13). Conclusions:The relationship between the perceived environment and MVPA in heart disease patients appears to be time dependent. However, further studies need to incorporate objective environmental measures to better understand the role of the environment in heart disease patients.Acknowledgments: Nova Scotia Health Research Foundation
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".