Depression Symptoms have a Greater Impact on the 1-Year Health-Related Quality of Life Outcomes of Women Post-Myocardial Infarction Compared to Men
Bibliographic record
Abstract
OBJECTIVE: Several studies report that women with CAD have a poorer prognosis than men and suggest that depressive symptoms may be a contributing factor. The purpose of this study was to examine gender differences in depressive symptoms, as they relate to health-related quality of life outcomes following an AMI. METHODS: Patients with documented AMI completed a questionnaire including the Short Form 36 physical (PCS), and mental component summary (MCS) scores, and Beck Depression Inventory at baseline and at 1 year after AMI admission. RESULTS: 486 (82%) patients completed the follow-up questionnaire. Females had significantly worse PCS and MCS scores at baseline and 1-year follow-up compared to males The mean 1-year Beck scores were significantly higher (p=0.01) for females (10.02+/-8.23) compared to males (7.78+/-8.01) indicating more reported depressive symptomatology. Multivariate analyses showed significant gender-related differences in the PCS scores at 1 year, but no gender-related differences in the 1-year MCS scores. CONCLUSIONS: These results suggest that gender differences in mental health at 1 year relate to gender-related differences at 1-year depression levels. The higher level of depression in women may be a consequence of gender differences in recovery patterns from an AMI and requires further investigation.
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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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".