Discrimination, religious affiliation, and arterial stiffness in African American women and men.
Bibliographic record
Abstract
OBJECTIVE: This study examined the interactive relations of experienced interpersonal discrimination, sex, and religious affiliation with pulse wave velocity (PWV), a noninvasive measure of arterial stiffness and indicator of subclinical cardiovascular disease (CVD) prognostic for clinical CVD. METHOD: We used multivariable linear regression analyses with cross-sectional data from 797 African American midlife adults in the Healthy Aging in Neighborhoods of Diversity Across the Life Span study in Baltimore, Maryland, to examine the interactive relations of both linear and quadratic discrimination, religious affiliation status, and sex with PWV in models adjusted for age and poverty status. RESULTS: = .008). Both lower and higher levels of discrimination were related to higher PWV. No such relations emerged among unaffiliated men or women. Findings remained robust after sensitivity analyses adjusted for depressive symptoms, cigarette use, obesity, marital status, hypertension, Type 2 diabetes, CVD medical history, cholesterol, lipid-lowering medication use, systolic blood pressure, and heart rate. CONCLUSION: Religiously affiliated African American men who reported the lowest and highest experienced discrimination showed a heightened risk for subclinical CVD. Having a religious identity might either play a role in suppressing men's unwanted memories of discrimination or increase men's susceptibility to and salience of mistreatment, which might manifest in adverse cardiovascular health outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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) | 0.002 | 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".