ABSTRACT
BACKGROUND: To compare the frequencies of risk factors, we describe risks for depression as a function of race among consecutively admitted participants in a randomized clinical trial of indicated depression prevention in later life. METHODS: Seventy-two black and 143 white participants were screened for risk factors for depression. RESULTS: Black participants were more likely to have fewer years of education and lower household income. They were more likely to be obese, live alone, experience functional disability, have a history of alcohol and drug abuse, and have lower scores on the Mini-mental State Examination and the Executive Interview (EXIT). White participants were not found to have greater prevalence or higher mean score on any risk factor. On average, black participants experienced approximately one more risk factor than white participants (t(213) = 3.32, p = 0.0011). CONCLUSIONS: In our sample, black participants had higher frequencies of eight risk factors for depression and a greater mean number of risk factors compared to white participants.
Subject(s)
Aging/psychology , Black or African American , Depression/ethnology , White People , Aged , Aged, 80 and over , Alcoholism/ethnology , Comorbidity , Cross-Sectional Studies , Depression/etiology , Depression/psychology , Disabled Persons/psychology , Disabled Persons/statistics & numerical data , Educational Status , Female , Humans , Income , Male , Middle Aged , Obesity/ethnology , Pennsylvania/epidemiology , Prevalence , Quality of Life , Risk Factors , Substance-Related Disorders/ethnologyABSTRACT
During 2005, a risk assessment tool based on the Gail model was used to calculate the five-year risk of developing breast cancer for 445 women who live in socioeconomically disadvantaged urban communities in western Pennsylvania and who attended health fairs and other community-sponsored activities. This tool allowed us to evaluate each woman and advise her of her risks in a process lasting 15-20 minutes. Of the 445 women, 71.7% were black and 21.6% had a higher than average risk. The proportion of white women at high risk was significantly greater than the proportion of black women at high risk (33.3% vs. 16.9%; P < 0.01). The Gail model assessment tool for use in low-income and minority populations holds promise because it is noninvasive, is easy to use and provides immediate data about risk. This risk communication may help encourage minority and low-income women to receive screening mammography. It has the potential to improve breast cancer screening rates.
