Black Impact: Improving Cardiovascular Health in Black Men
This study is testing a program called "Black Impact Intervention" to see if it can help improve heart health in Black men. The program is designed to reduce stress and improve overall cardiovascular health (heart and blood vessel health). Researchers want to see if this 24-week program can improve measures like physical activity, diet, blood pressure, and more. You might be able to join if you are a Black man, 18 or older, live in Metropolitan Columbus, Ohio, speak English, and have less-than-ideal heart health. The study aims to enroll 340 participants, but its current recruitment status is unclear.
- Study design
- This is an interventional study planning to enroll 340 participants. It is testing a behavioral intervention.
- What's involved
- Participants will engage in 45 minutes of weekly physical activity and 45 minutes of weekly health education for 24 weeks.
- Compensation
- Not stated in the trial record.
- Follow-up
- Cardiovascular health will be measured at 24 weeks.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Black Impact: The Mechanisms Underlying Psychosocial Stress Reduction in a Cardiovascular Health Intervention
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Joshua Joseph, MD · PRINCIPAL_INVESTIGATOR · Ohio State University
Who to contact
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Do you actually qualify for this trial?
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Exclusion
What this trial measures
- Cardiovascular Health24 weeks
The primary outcome for the randomized controlled trial is change in cardiovascular health at 24-week follow-up, which will be calculated using between-subject differences rather than within-subject differences, using a linear mixed-effects to evaluate changes from baseline in Life's Essential 8 score (range 0-100, higher scores are better). Study wave will be a covariate in the models. The model will contain data from baseline (0 weeks), during-intervention (12 weeks), and post-intervention (24-weeks). These models will assess differences between waitlist control and intervention participants using an interaction between time and treatment indicator. Residual plots will examine model assumptions and model fit, with transformation of the outcomes (e.g. log, square-root, Box-Cox) used as needed to satisfy modelling assumptions (e.g. normality, constant variance) and achieve appropriate model fit.