Relationship between cardiopulmonary fitness and depressive symptoms in cardiac rehabilitation patients with coronary artery disease
Bibliographic record
Abstract
OBJECTIVE: To identify independent predictors of depressive symptoms in a cohort of patients with coronary artery disease entering cardiac rehabilitation. DESIGN: Cross-sectional cohort study. PATIENTS AND METHODS: Consecutive patients entering a cardiac rehabilitation and secondary prevention programme underwent screening for depressive symptoms using the Center for Epidemiological Studies Depression (CES-D) scale and cardiopulmonary fitness testing to quantify peak oxygen consumption. RESULTS: Of the 366 patients with coronary artery disease, 22.3% reported at least mild (CES-D > or = 16) and 10.4% reported significant (CES-D > or = 23) depressive symptoms. Antidepressant medications were being used by 6.3% of patients. Sociodemographic, cardiopulmonary and cardiac characteristics, and medical co-morbidities previously associated with depression accounted for 14.7% of the variance in a multiple linear regression model (F = 8.713, p < 0.001) predicting CES-D scores. Significant independent predictors of CES-D scores were lower peak oxygen consumption, younger age, female sex, lower maximum diastolic blood pressure, angina pectoris and antidepressant use. CONCLUSION: Reduced physical fitness, younger age, female sex and ischaemic symptoms of coronary artery disease predict higher depressive symptoms in patients entering cardiac rehabilitation.
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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".