Abstract 14359: Impact of Marital Stress on 12-month Health Outcomes Among Young Adults With Acute Myocardial Infarction
Bibliographic record
Abstract
Background: Psychosocial stress is associated with worse cardiac outcomes, but little is known about the prognostic impact of marital stress in young adults (≤55 years) with acute myocardial infarction (AMI). We investigated the association between marital stress and 1-year health outcomes in young AMI survivors. Methods: We used data from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), which enrolled people aged 18-55 years with AMI (2008-2012). Marital stress was assessed among married/partnered participants at 1 month post-AMI using the Stockholm Marital Stress Scale, categorized as absent/mild, moderate, and severe. Main outcomes were physical/mental health status, generic/disease-specific quality of life, angina, depressive symptoms, and all-cause readmission at 1 year post-AMI. Linear and logistic regression models were sequentially adjusted for baseline health status, demographics, and socioeconomic factors (including education level, income level, employment status, and insurance status). Results: Among the 1593 married/partnered participants in our study, more women reported severe marital stress than men (39.4% vs 30.4%, p=0.001). Having severe marital stress was associated with worse physical and mental health, lower generic and cardiovascular-specific quality of life, more angina and depressive symptoms, and 1.48 times higher all-cause readmission at 1 year post-AMI. These associations remained significant after adjusting for baseline health score and patient demographics ( Table Model 1 ), but they attenuated and became non-significant when further adjusting for socioeconomic factors ( Model 2 ). Conclusion: Marital stress was associated with worse health outcomes in young AMI patients, which can be partially mediated by socioeconomic factors. Further research is needed to understand this complex relationship and potential causal pathway associated with these findings.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".