Online Program

Analyzing risk factors of Black to White prostate cancer rate based on simulation model

Monday, November 2, 2015

William N. Washington, DPA, MPA, MPH, CHES, MSPH Program, Meharry Medical College, Nashville, TN
Chau-Kuang Chen, Ed.D., School of Graduate Studies, Meharry Medical College, Nashville, TN
John Hughes Jr., BS, Office of Institutional Research, Meharry Medical College, Nashville, TN
Prostate cancer is a major health concern for men over 50 years of age.  More than 200,000 new cases in the United States are diagnosed annually, and around 30,000 die from it each year. Risk factors that increase chances of one getting this disease include family history, race (especially African American), steadily consuming fatty foods, being physically inactive, and frequent exposure to cadmium, an extremely toxic metal found in industrial workplaces. Studies have also shown risk factors such as age, smoking, drinking, socioeconomic status, physical inactivity, obesity, and lifestyle can play a major role in the development of prostate cancer. This presentation will describe a study done to determine which risk factors contribute significantly to the prospect of acquiring prostate cancer so that interventions can be developed to either prevent or control the disease.  A Monte Carlo simulation model in IBM SPSS was constructed to determine the relationship between U.S. state-level Black-to-White prostate cancer rate and related risk factors. Simulation model was run on the initial analysis for multiple linear regression function. Of the 12 risk factors related to state-level Black-to-White prostate cancer rate, the most influential four factors were identified as cigarette smoking, per capita income, alcohol consumption, and obesity. The study results from simulation model were consistent with those in the literature. Analyzing multiple risk factors of prostate cancer in the communities may lead to the proposal of more comprehensive and integrated policies and intervention programs to solve the population-based problem.

Learning Areas:

Advocacy for health and health education
Biostatistics, economics
Public health or related education
Public health or related research

Learning Objectives:
Identify two important risk factors effecting prostate cancer List the most influential risk factors based on tornado charts in simulation model

Keyword(s): Cancer and Men’s Health, Statistics

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have worked in the public health field for more than 20 years and function at a professor at Meharry Medical College teaching in the field of public health
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.