Sex- and Gender-Related Factors Associated With Cardiac Rehabilitation Enrollment
Bibliographic record
Abstract
PURPOSE: To assess sex- and gender-related factors associated with cardiac rehabilitation (CR) enrollment following acute coronary syndrome among systematically referred patients. METHODS: This secondary analysis of a randomized controlled trial used an exploratory approach to examine the TRANSITion process for patients between the coronary care unit and CR (TRANSIT-UC). The present analysis examined the relationship between sex- and gender-related factors and CR enrollment in systematically referred women (n = 35) and men (n = 207). We performed χ and logistic regression analyses to identify statistically significant results. Using the Bonferroni method, a P value of .002 or less was considered a significant statistical result. A raw difference of 15% or more between enrolled and nonenrolled participants was considered a difference worthy of further investigation. RESULTS: Men who were regularly engaged in physical activity prior to their hospitalization and who lived near the CR center showed a statistically higher CR enrollment rate. In women and men, a radial entry site for percutaneous coronary intervention resulted in a clinically significant difference in favor of CR enrollment. In women, 3 sex-related and 9 gender-related variables were associated with a difference of 15% or more between enrolled and nonenrolled participants. CONCLUSION: Factors related to CR enrollment in women and men are suggested. As women keep showing a lower rate of CR enrolment, the investigation of these factors in a larger sample of patients may hold valuable insights to improve CR enrolment.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".