Socioeconomic and Clinical Factors Associated with Disease-Related Knowledge of Cardiac Rehabilitation Patients in Brazil
Bibliographic record
Abstract
Objective: The objective of this study was to identify socioeconomic and clinical factors associated with disease-related knowledge of cardiac rehabilitation (CR) patients. Methods: Adults with coronary artery disease (CAD) were recruited during CR Phase 1 and completed questionnaires on the 1 st day of Phase 2. Disease-related knowledge was assessed by the short version of the CAD Education Questionnaire. Socioeconomic status was defined by educational level, family income, and employment status. MannWhitney U and Spearman correlation were calculated to determine the association of knowledge with socioeconomic factors, number of risk factors, and wait time between hospital discharge and start of outpatient CR. Results: A convenience sample of 39 patients were recruited. Overall, the mean knowledge was 12.00 ± 3.3, which corresponds to 60% of possible scores. Monthly family income and number of risk factors influenced medical condition knowledge ( P < 0.05), and employment status influenced total knowledge ( P = 0.005) and risk factor knowledge ( P = 0.002). Participants with three or more risk factors presented significantly higher knowledge ( P = 0.02). Those that waited more than 17 weeks to start the CR presented significantly lower knowledge ( P = 0.04). Conclusion: Participants with low income and unemployed were more likely to have inadequate disease-related knowledge; however, the entire sample presented low understanding of their condition. Public health strategies and educational interventions must continue to focus on these vulnerable groups.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".