The purpose of this exploratory study was to identify the key predictors of prostate cancer; such study may lead to the development of appropriate interventions and prevention. Previous epidemiological studies have found these following factors to be key predictors for being diagnosed with hormone-associated carcinoma such as prostate cancer: age, ethnicity, physical activity, family history, diet, sleep amount, marital status, and having another form of carcinoma. Many studies have included results only for men over the age of 65, however, prostate cancer is claiming the lives of many African American, Hispanic and White American men over the age of 35, and younger men are more likely to battle it if they are genetically predisposed. The sample population (N =21,646) was selected because men aged 35 or over have the highest prevalence of prostate cancer. Of this sample, 619 reported having prostate cancer, and 1,401 reported having some other type of cancer. This study employs a logistic regression model using SAS® and utilizes the National Health Interview Survey data set and a multivariate analysis of the years 2006, 2007, and 2008. To improve the quality of future research the methods need modification, the subpopulation being studied should be larger, and the studies should be longitudinal. This particular study found the aforementioned factors to be critical in predicting prostate cancer. Maximum sun exposure was found to be also related to having prostate cancer. Key predictors for prostate cancer diagnosis are age, ethnicity, having some other cancer and maximum sun exposure, and education. Though previous studies have found physical activity, sleep amount, and occupation to be beneficial in reducing the risk for prostate cancer, it was not confirmed in this particular study.
