Psychological factors and depressive symptoms in ischemic heart disease.
Bibliographic record
Abstract
The aim of this study was to determine whether learned helplessness, cognitive distortions, self-efficacy, and dispositional optimism assessed at Time 1 (T1; questionnaires mailed at 1 month postdischarge) would predict depressive symptoms at Time 2 (T2; questionnaires mailed at 1-year follow-up) in a sample of 86 patients hospitalized with ischemic heart disease. Multiple regression results indicated that optimism and cognitive distortions at T1 were significantly associated with T1 depressive symptoms after controlling for confounding variables. When the T1 psychological factors were analyzed with T2 depressive symptoms, only optimism continued to predict depressive symptoms after controlling for confounds and T1 depressive symptoms. The global expectancies that optimism assessed appeared to be more stable over time than the statelike beliefs of cognitive distortions and may have accounted for why optimism predicted T2 depressive 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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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".