Frequency of higher risk sexual behaviors for men who have sex with men

Safer sexual behaviors have been widely promoted for many years as an effective means of preventing the transmission of HIV. However, creating an initial change in an individual\u27s behavior does not guarantee that an individual will maintain that behavior change. This meta-analysis looked at one population---men who have sex with men---and fit a random effects model to the data for the available studies on the frequency of higher risk sexual behaviors. It is clear the prevention programs need to be developed that focus on maintenance of changes to safer sexual behaviors. By identifying the important predictors of the frequency of higher risk sexual behaviors, this meta-analysis provides suggestions on what may be important to include in targeted prevention programs

Predictors and patterns of participant adherence to a cortisol collection protocol

Cortisol, a stress-related hormone, has been measured in many psychoimmunological studies via collection of saliva; however, patterns of participant adherence to protocol procedures are rarely described in the literature

Engaging African American breast cancer survivors in an intervention trial: culture, responsiveness and community

Younger breast cancer survivors often lead extremely busy lives with multiple demands and responsibilities, making them difficult to recruit into clinical trials. African American women are even more difficult to recruit because of additional historical and cultural barriers. In a randomized clinical trial of an intervention, we successfully used culturally informed, population-specific recruitment and retention strategies to engage younger African-American breast cancer survivors

Frequency of higher risk sexual behaviors for men who have sex with men

Safer sexual behaviors have been widely promoted for many years as an effective means of preventing the transmission of HIV. However, creating an initial change in an individual's behavior does not guarantee that an individual will maintain that behavior change. This meta-analysis looked at one population---men who have sex with men---and fit a random effects model to the data for the available studies on the frequency of higher risk sexual behaviors. It is clear the prevention programs need to be developed that focus on maintenance of changes to safer sexual behaviors. By identifying the important predictors of the frequency of higher risk sexual behaviors, this meta-analysis provides suggestions on what may be important to include in targeted prevention programs.</p