HIV prevention efforts focused on changing individual behaviors have failed to halt transmission in high-risk groups such as men who have sex with men MSMwho make up the majority of incident HIV cases in the United States Better understanding the contribution of specific drinking contexts to alcohol use and risky sexual behaviors can help target effective prevention programs to specific locations and types of drinkers. Two measures were used to examine overall and context-specific relationships of alcohol use to risky sex. As expected, those married or in a steady relationship reported fewer partners and less unplanned sex but more unprotected sex. In particular, heavy drinking at Greek parties and in bars were both associated with a greater number of unprotected and unplanned sex events in the past 28 days. Context-specific frequencies F i and continued volumes V i -F i were derived for five distinct drinking contexts: Protective behavioral strategies and interventions could focus on nodes of social or affiliation networks within specific contexts.
At dorms or residence halls.
Reducing Risky Sex Among College Students: Prospects for Context-Specific Interventions
Ponicki2 and Paul J. Analyses Data were analyzed using censored Tobit models with frequencies of number of sex partners, unplanned sex, and unprotected sex measured as rates of events per 28 days; this enabled direct assessments of these rates relative to rates of drinking, F iand volumes consumed, V imeasured on the same time scale. Unfortunately the data collected for these analyses did not include individual social cognitive measures such as impulsivity. Greater alcohol use may differentially disinhibit risky sexual behaviors between men and women, because of differential beliefs and expectations with regard to alcohol effects between genders 25differential alcohol impacts on risky or aggressive behaviors 26or because heavy drinking marks for greater risk taking among men. Does alcohol lead to sexual risk behavior? For each problem outcome, analysis models were first run with only demographic characteristics and campus controls Model 1 ; next, context-specific frequencies of use were added and tested as a block for significance Model 2 ; finally, continued volumes for each context were added and tested. Respondents were asked how many people they had sexual intercourse with since the beginning of the semester.