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).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".