Major Depressive Disorder Predicts Completion, Adherence, and Outcomes in Cardiac Rehabilitation
Bibliographic record
Abstract
Article AbstractObjective: To compare completion, adherence, and cardiac rehabilitation (CR) outcomes between participants with and without major depressive disorder (MDD) undertaking CR. Method: In a prospective cohort study of consecutive patients with coronary artery disease (n = 195) entering 1-year outpatient CR between January 2006 and August 2008, rates of noncompletion (comprehensive CR criteria), nonadherence (< 70% attendance at scheduled CR visits), and CR outcomes were compared between patients with and without MDD based on the Structured Clinical Interview for DSM-IV criteria. Results: Major depressive disorder was diagnosed in 22.1% of participants. Rates of noncompletion were 44.2% and 28.9%, and rates of nonadherence were 53.0% and 34.9% for those with and without MDD, respectively. Major depressive disorder was associated with increased risks of noncompletion (multivariate hazard ratio , 2.5; 95% confidence interval , 1.3-4.7) and nonadherence (multivariate HR, 2.4; 95% CI, 1.3-4.2). More participants with MDD failed to complete CR for medical reasons than those without MDD (25.6% vs 12.3%, respectively; P = .031) in post hoc comparisons. Participants with MDD achieved poorer cardiopulmonary fitness increases (change in mean ± SD peak oxygen uptake of 3.3 ± 3.2 vs 6.6 ± 5.7 mL/kg/min; P = .021) and poorer body fat outcomes (a mean ± SD increase of 2.1% ± 4.5% vs a decrease of 0.4% ± 3.4%, P = .009) than those without MDD. Conclusions: Major depressive disorder was associated with poorer rates of completion and adherence in CR, and it mitigated improvements in clinical outcomes. Despite depression screening and psychosocial support as structured components of care, MDD remained a significant barrier to effective CR.J Clin PsychiatrySubmitted: October 30, 2009; accepted January 7, 2010. Online ahead of print: November 2, 2010 (doi:10.4088/JCP.09m05810blu). Corresponding author: Krista L. Lanctôt, PhD, Neuropsychopharmacology Research Group, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Ste FG05, Toronto, Ontario, Canada, M4N 3M5 (krista.lanctot@sunnybrook.ca).
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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 | 0.004 | 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 | 0.001 |
| 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".