Of Sound Heart and Mind
Bibliographic record
Abstract
BACKGROUND: Heart disease is related to the etiology of mental health problems such as depression, anxiety, and posttraumatic stress. OBJECTIVE: The goal of this scoping review was to determine which factors pose a significant risk for the onset of symptoms of depression, anxiety, and posttraumatic stress in patients with heart disease, as well as to identify what might protect them from these afflictions. METHOD: We conducted a thorough search of relevant medical and psychological databases (Scopus, PsycARTICLES, Psychology and Behavioral Sciences Collection, Sage Journals, and MEDLINE) and identified 41 studies that met inclusion criteria, which included all types of heart disease. RESULTS: The results of our review indicate that mental health history, the tendency to stifle negative emotional experiences (known as "type D personality"), and social support in patients with heart disease are related to the onset of or protection from depression, anxiety, and posttraumatic stress. These factors, along with gender and younger age, seem to be relatively consistent predictors of mental health problems in this population. CONCLUSIONS: As per our results, it is important for clinicians to attend to the mental health history, type D personality, and presence and quality of social support in patients with heart disease. More research into prevention and gender differences is necessary to hone the detection and treatment of these problems in people with heart disease. CLINICAL IMPLICATIONS: Attention to their mental health history, their ability to express and regulate affect, their age, and their gender will most likely assist in identifying symptoms of depression, anxiety, and posttraumatic stress in people with cardiac disease. Gender differences, particularly in the manifestation of depression, ought to be taken into account.
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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 | 0.000 |
| 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".