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.
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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 | 0.000 | 0.002 |
| 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) | 0.003 | 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".