Cross Sectional Design

The research design is accurately addressing the issues of racism and disease. As a result, the cross-sectional design is appropriate for this study examining the association in the in-depth description and determining the relationship between the variables. The variables of inference are cardiovascular disease race/ethnicity, gender, and residence, emphasizing the risk factors of alcohol consumption, tobacco usage and physical activity adversely affecting health outcome. Now of the individual's age, gender and level of education at the time of the participation in the survey. The fundamental idea of the study is a focus on the population to understand the attitude and behaviors observing the causes for the unfortunate health effects on cardiovascular disease (Havranek et al., 2015). The outcome is to present if the community-based programs are reachable to the community to the likelihood of changing adverse health outcomes will

The survey data offers a systematic assignment lowering the risk of researcher bias, also building upon the results of numerical data presenting an understanding of personal racism acting as a stressor inducing the reaction that negatively affects cardiovascular health. The philosophy of the relationship based on persistent inequities of potential health risk factors and outcomes in the continued burden of disease (Benjamin, Mackey, Matchar, Turan, Virani, Kissela, & Wong, 2014). The aim is to define the association with the independent variable cardiovascular disease, and measuring, aiming to change the dependent variables of alcohol consumption, smoking tobacco, and sedentary behavior in the heterogeneous sampling of one hundred and fifty- three. The generalization representation of the African American community living in rural Northern Virginia is the correlation between variables, also the frequency of risk behaviors and differences in means in a case-control design in the comparison of