Problematic Behaviors and Predicting Online Risk Behaviors in High School Students.

Adolescent behavior now occurs offline and online. Frequently studied and treated independently, the relationship between offline problem behaviors and online risk taking is not well understood. This study asked whether there are any problematic behaviors predictive of online risk taking by high school students. Using a 2009 dataset of 2,077 high school students grades 9-12, five areas of offline problematic behaviors were examined: Academic problems, anxiety, behavioral wrongdoing, bullying, and social-emotional. Nine binary results were classified as online risk: Sexting, online harassment (perpetrating and experiencing), visiting sex sites, talking about sex, receiving sexual pictures, meeting offline, anything sexual happened, feeling nervous or uncomfortable. Behavioral wrongdoing (fighting, school suspension, trouble with police, theft), emerged as a significant predictor appearing in all nine models, followed by bullying experience (bully or victim) in six models. Identifying common problem behaviors that predict online risk taking are key components in developing strategies to promote adolescent health and well-being.

The Scope of Rape Victimization and Perpetration Among National Samples of College Students Across 30 years.

Research Questions: Rape prevention practice and policy have roots in data from 1985. This study uses 2015 national data to project recent prevalence, assesses whether rates now differ from those of 30 years ago, and disaggregates 2015 prevalence into rape of alcohol incapacitated victims, rapes combining both alcohol and physical tactics, and violent rape. Methods: Cross-sectional analyses were conducted comparing two national samples. The first was collected in 1984-85 (Koss, Gidycz, & Wisniewski, 1987); the second was collected 30 years later in 2014-2015. Both surveys used in-person administration and measurement by the most current version at the time of the Sexual Experiences Survey (SES). Prevalence rates were compared using Bayesian binomial tests. Results: In 2015, 33.4% (1 in 3) of women reported experiencing rape or attempted rape and 12.7% of men reported perpetration (1 in 8). Using Jeffreys' label for effect size of the Bayes binomial (1961), both results are "decisively" greater than expected given the 1985 benchmarks of 27.9% for victimization and 7.7% for perpetration. Victimization when incapacitated characterized approximately 75% of incidents in 2015 up from 50% in 1985. Cautions apply as cross-sectional data does not establish causality and the recent data set involved the revised SES. Conclusions: Across 30 years, neither containment nor reduction of rape was demonstrated and the increasingly prominent association with alcohol was apparent. Among the men who disclosed raping, 9 of 10 incidents were alcohol-involved. Prevention focus might profitably be directed to constraining alcohol environments and policies that facilitate rape of incapacitated persons and on misconduct responses that are proportional to the harm caused to rape victims, thereby raising the perceived risks of perpetration.

Factors predictive of sexual violence: Testing the four pillars of the Confluence Model in a large diverse sample of college men.

This article focuses on the characteristics of sexually violent men who have not been convicted of a crime. The objective of this study was to test the four key interrelated pillars of the Confluence Model. The first key pillar posits the interaction of Hostile Masculinity and Impersonal Sex as core risk predictors. The second pillar entails a "mediated structure" wherein the impact of more general risk factors is mediated via those specific to aggression against women. The third pillar comprises a single latent factor underlying various types of sexual violence. The fourth pillar expands the core model by including the secondary risk factors of lower empathy, peer support, extreme pornography use, and participation in alcohol parties. An ethnically diverse sample of 1,148 male students from 13 U.S. colleges and universities completed a comprehensive survey that assessed the hypothesized risk factors and self-reported sexual violence, which included noncontact sexual offenses, contact sexual coercion, and contact sexual aggression. A series of multiple regression analyses were conducted before testing structural equation models. The results supported the integration of the four pillars within a single expanded empirical model that accounted for 49% of the variance of sexual violence. This study yielded data supporting all four key pillars. These findings provide information about non-redudant risk factors that can be used to develop screening tools, group-based and individually tailored psychoeducational and treatment interventions.

Student views on campus sexual assault.

Objective: To report on college student opinions about the scope of college sexual misconduct (CSM), suggested university sanctions, and treatment of students found responsible of CSM. Participants: In all, 23 US undergraduate students (14 females and 9 males) with a mean age of 20 years. Methods: Students participated either in female, male, or mixed-sex focus groups that facilitated the discussion of factors related to CSM. Results: Students provided in-depth feedback on the climate on US college campuses and factors related to CSM. They agreed upon CSM risk factors and context characteristics, but raised different male and female issues across sex groups. They further provided resolute suggestions for the solution of CSM, experienced treatment barriers, and limited victim reporting. Conclusion: Student focus groups provide important information about the scope of CSM and offer valuable suggestions for the solution of the problem that may be crucial for the development of successful sexual assault interventions.

Visual-spatial working memory performance and temporal gray matter volume predict schizotypal personality disorder group membership.

BACKGROUND: Prior work shows individuals with schizotypal personality disorder (SPD) evince temporal lobe volume abnormalities similar to schizophrenia but sparing of prefrontal cortex, which may mitigate psychosis and the severe neurocognitive impairments observed in schizophrenia. This study examined the extent to which frontal-temporal gray matter volume and neurocognitive performance predict: (1) SPD group membership in a demographically-balanced sample of 51 patients and 37 healthy controls; and (2) symptom severity in SPD. METHODS: Dimensional gray-matter volume (left frontal-temporal regions (Brodmann area (BA) 10, 21, 22)) and neurocognitive performance on key memory tasks (California Verbal Learning Test (CVLT), Dot Test, Paced Auditory Serial Addition Test (PASAT)), all salient to schizophrenia-spectrum disorders were examined in a multi-variable model. RESULTS: Middle temporal gyrus (BA21) volume and spatial-working memory (Dot Test) performance were significant predictors of SPD group membership likelihood, with poorer working-memory performance indicating increased probability of SPD membership. Combining across regional volumes or cognitive measures resulted in fair-to-good discrimination of group membership, but including neurocognitive and non-collinear regional volume measures together resulted in a receiver-operating-characteristic (ROC) curve with improved diagnostic discrimination. Larger BA10 volume in dorsolateral prefrontal cortex (DLPFC) significantly predicted less symptom severity in SPD. CONCLUSIONS: These findings suggest that temporal lobe volume and spatial-working memory performance are promising biological/phenotype markers for likelihood of SPD classification, while greater DLPFC volume may serve as a protective factor.