Abstract 17321: Race Differences in Hemodynamic Responses to Acute Mental Stress and the Role of Depressive Symptoms
Bibliographic record
Abstract
Introduction: Increased hemodynamic responses to psychological stress have been associated with adverse CAD events. African Americans (AA) have worse CAD outcomes than other groups. Heightened hemodynamic responses to stress may play a role. Our hypothesis was that AA would have higher hemodynamic reactivity to a standardized mental stress compared to Non-African Americans (NAA). Methods: We evaluated 574 patients (163 AA) with CAD, who underwent a standardized mental stress challenge. Hemodynamics were obtained at rest, during stress (speaking task), and during recovery. The rate-pressure product (RPP) was calculated as systolic blood pressure (SBP) x heart rate (HR). Hemodynamic reactivity was evaluated as the difference in RPP at rest and during stress. Depressive symptoms were measured with the Beck Depression Inventory-II (BDI). Results: As compared to NAA, AA patients were younger, had lower education and income, and higher prevalence of diabetes, obesity, hypertension, smoking, and depressive symptoms (BDI mean scores 9.8 vs. 7.6, p= 0.003). AA patients had higher blood pressure during all three periods (Table). However, hemodynamic reactivity with stress was significantly lower in AA than NAA (RPP reactivity 3114 vs 3620, p= 0.02). Adjusting for baseline RPP, age, gender and smoking did not substantially alter the association. However, after adjusting for depressive symptoms, the association was attenuated by 23% (p=0.16). BMI, diabetes and beta-blocker use had minimal additional explanatory role. In the final model, baseline RPP, depressive symptoms and BMI were significantly associated with a lower RPP reactivity (p<0.01). Conclusion: AA patients with CAD, compared with NAA, have elevated blood pressure throughout mental stress, but tend to have blunted hemodynamic reactivity to stress. Depressive symptoms, which are more elevated among AA, play a role in this different response to stress and may be implicated in the higher CAD risk of this group.
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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 | 0.001 |
| 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) | 0.004 | 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".