Design of Black Impact: A Randomized Controlled Trial Evaluating the Mechanisms Underlying Psychosocial Stress Reduction in a Cardiovascular Health Intervention
Bibliographic record
Abstract
BACKGROUND: Lower attainment of cardiovascular health (CVH), indicated by lower scores on the American Heart Association's Life's Essential 8 metrics, is a major contributor to Black men having the shortest life expectancy of any nonindigenous race/sex group. Evidence-based community interventions to improve CVH in Black men are sparse; thus, an academic-community-government-industry partnership was developed to cocreate and test a 24-week CVH intervention for Black men, Black Impact, in line with best practices for community-based participatory research. METHODS AND RESULTS: The Black Impact intervention is delivered by health coaches, fitness trainers, and community health workers and emphasizes weekly physical activity, health education, and addressing social needs. Together, academic-community-government-industry partners will conduct a randomized, waitlist-controlled trial among 340 Black men with suboptimal CVH to determine intervention: (1) efficacy on CVH and psychosocial stress; (2) effect on individual and interpersonal outcomes; (3) effect on biological mechanisms responsive to psychosocial stress; and (4) organizational contexts and resources necessary for sustainability of the academic-community-government-industry partnership. An intervention working group of academic-community-government-industry partner representatives will guide implementation and evaluation. Upon trial completion, findings (eg, change in CVH at 24 weeks [primary], change in perceived stress at 24 weeks [coprimary], biological mechanisms, psychosocial process mediators [stress, social and interpersonal processes]) will be disseminated in scientific and lay settings. CONCLUSIONS: Robust clinical trials are needed to test novel interventions focused on CVH equity. Black Impact will determine intervention efficacy, evaluate biological and psychosocial mediators of impact, and lay a framework for sustainability and scalability. REGISTRATION: URL: https://clinicaltrials.gov/; Unique Identifier: NCT06055036.
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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 | 0.026 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| 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".