Severity of Depressive Symptoms Pre- and Postcardiac Rehabilitation
Bibliographic record
Abstract
PURPOSE: Depression is 3 times more prevalent in the cardiac than the general population in high-income countries and is particularly high in middle-income countries. Comorbid depression is associated with twice the mortality after a cardiovascular event. The objectives of this study were to describe and compare depressive symptoms pre- and postcardiac rehabilitation (CR) among patients in high-income countries and middle-income countries in the Americas. METHODS: The study design was prospective and observational. A convenience sample of CR participants completed the Patient Health Questionnaire-9 (PHQ-9) at CR intake and again at program discharge. Clinical data were extracted from medical charts. RESULTS: There were 779 participants: 45 Brazilian (5.8% of sample), 214 Canadian (27.5%), 126 Colombian (16.2%), 309 American (39.7%), and 85 Venezuelan (10.9%). Pre-CR depressive symptoms significantly differed between countries (P < .05), with Colombian participants reporting higher scores than Canadians and Venezuelans. Total PHQ-9 scores significantly decreased during CR in Colombia (mean change =-2.33; P < .001), the United States (mean change =-1.12; P < .001), and Venezuela (mean change =-2.14; P < .001), but not in Brazil (where less psychosocial intervention was offered) or Canada (where pre-CR scores were low). Among the 102 (13.1%) participants with scores in the elevated range pre-CR, the mean change in PHQ-9 scores was -6.57 ± 1.09 and 40 (39.2%) participants no longer had elevated symptoms postprogram. CONCLUSIONS: Depressive symptoms are variable among patients with CR in South and North American countries. CR programs incorporating psychosocial components can reduce these symptoms.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".