Dyadic patterns of mental health and quality of life change in partners and patients during three months of cardiac rehabilitation.
Bibliographic record
Abstract
= 184 dyads) completed questionnaires measuring anxiety, depression, and QoL at baseline (enrollment) and 3 months (discharge). Dyadic data were analyzed using the Actor-Partner Interdependence Model with integrated latent change scores. The results indicated that improved anxiety was associated with significant positive changes in physical and emotional QoL for both the patient and partner (actor effects). A reduction in depression in both partners from baseline to follow-up predicted an increase in emotional QoL for patients and partners, and an increase in physical QoL for partners (actor effects). Patients whose depression decreased from enrollment to the completion of cardiac rehabilitation were associated with partners' greater positive changes in emotional QoL than were patients whose depression did not decrease, and reductions in partners' anxiety over time predicted positive changes in patients' physical QoL (partner effects). Findings underscore the need to screen for and attend to patients' and partners' mental health outcomes postcardiac event, as positive changes in mental health symptoms may optimize changes in patients' and partners' emotional and physical QoL. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".