Sexual assault on college campuses is a public health issue. However varying research methodologies (e.g., different sexual assault definitions, measures, assessment timeframes) and low response rates hamper efforts to define the scope of the problem. To illuminate the complexity of campus sexual assault, we collected survey data from a large population-based random sample of undergraduate students from Columbia University and Barnard College in New York City, using evidence based methods to maximize response rates and sample representativeness, and behaviorally specific measures of sexual assault to accurately capture victimization rates. This paper focuses on student experiences of different types of sexual assault victimization, as well as sociodemographic, social, and risk environment correlates. Descriptive statistics, chi-square tests, and logistic regression were used to estimate prevalences and test associations. Since college entry, 22% of students reported experiencing at least one incident of sexual assault (defined as sexualized touching, attempted penetration [oral, anal, vaginal, other], or completed penetration). Women and gender nonconforming students reported the highest rates (28% and 38%, respectively), although men also reported sexual assault (12.5%). Across types of assault and gender groups, incapacitation due to alcohol and drug use and/or other factors was the perpetration method reported most frequently (> 50%); physical force (particularly for completed penetration in women) and verbal coercion were also commonly reported. Factors associated with increased risk for sexual assault included non-heterosexual identity, difficulty paying for basic necessities, fraternity/sorority membership, participation in more casual sexual encounters (“hook ups”) vs. exclusive/monogamous or no sexual relationships, binge drinking, and experiencing sexual assault before college. High rates of re-victimization during college were reported across gender groups. Our study is consistent with prevalence findings previously reported. Variation in types of assault and methods of perpetration experienced across gender groups highlight the need to develop prevention strategies tailored to specific risk groups.

Objectives We examined psychographic characteristics associated with tobacco use among Project DECOY participants. Methods Project DECOY is a 2-year longitudinal mixed-methods study examining risk for tobacco use among 3418 young adults across 7 Georgia colleges/universities. Baseline measures included sociodemographics, tobacco use, and psychographics using the Values, Attitudes, and Lifestyle Scale. Bivariate and multivariable analyses were conducted to identify correlates of tobacco use. Results Past 30-day use prevalence was: 13.3% cigarettes; 11.3% little cigars/cigarillos (LCCs); 3.6% smokeless tobacco; 10.9% e-cigarettes; and 12.2% hookah. Controlling for sociodemographics, correlates of cigarette use included greater novelty seeking (p < .001) and intellectual curiosity (p = .010) and less interest in tangible creation (p = .002) and social conservatism (p < .001). Correlates of LCC use included greater novelty seeking (p < .001) and greater fashion orientation (p = .007). Correlates of smokeless tobacco use included greater novelty seeking (p = .006) and less intellectual curiosity (p < .001). Correlates of e-cigarette use included greater novelty seeking (p < .001) and less social conservatism (p = .002). Correlates of hookah use included greater novelty seeking (p < .001), fashion orientation (p = .044), and self-focused thinking (p = .002), and less social conservatism (p < .001). Conclusions Psychographic characteristics distinguish users of different tobacco products.

Addressing psychiatric disorder and SUD among PHIV+ AYA may improve ART adherence outcomes in this population. Targeted interventions should be developed and tested.

In 1992, Wentworth Area Health Service in New South Wales, Australia, initiated the first area-wide review of the role of clinical nurse consultants (CNCs). Its purpose was to determine and define the role and function of CNCs. Previously, only broad guidelines had been described in the state Nurses Award. The review included an analysis of how Wentworth Area Health Service CNCs spent their time, a comparison with CNCs from other Area Health Services, and a survey of the opinions of Wentworth Area Health Service nurse managers. The four common components of CNC roles identified were: education, liaison/resource, research, and clinical. The review highlighted the diversity of the CNC role, and outcomes from the review included a statement of role descriptors, development of a professional peer support group, and better utilization of CNCs within this Area Health Service.

A current trend emphasizes simplified models of traits and personality functioning that would reduce individuals to as few as five potential traits and one dimension of personality functioning. However, the evidence behind those models is based on linear methods of analysis that authors from Cattell to Kernberg (2016) believe do not capture the potential moderating interaction effects of personality. Using models of traits and functioning from the DSM-5, this study demonstrates not only that traits and functioning interact, but that they do so in a rich and meaningful way that points up the dangers of collapsing these concepts. Without taking the interaction into account, satisfaction in romantic or work relationships often could not be predicted or understood. If we cannot predict satisfaction in these relationships with precision, honest confusion arises over how to guide others toward these goals. Low Detachment depends on high levels of Self-Definition, just as low Antagonism relies on high levels of Empathy to be successful. Most interestingly, negative traits and low functioning can actually lead to individual satisfaction, suggesting not only that interaction is key but that nonlinear effects may also be present.

Despite challenges, this procedure can be implemented with this population and can help identify adherence barriers important for interventions that address medication-taking behaviors.

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