Neighborhood-Level Predictors of Sexual Violence Across Intimate Partner and Non-Intimate Partner Relationships: A Case-Control Study.

Ample research explores individual factors associated with sexual violence, yet individual, dyadic, and environmental influences on intimate partner sexual violence (IPSV) occurring in the larger context of non-intimate partner violence (NIPSV) remain relatively unexplored. The current study aimed to determine the extent to which county-level indicators in combination with individual and dyadic factors are associated with sexual violence across relationship types. Reported IPSV and NIPSV cases were obtained from the Tennessee Bureau of Investigation's (TBI) online incident-based reporting system. County-level variables indicative of neighborhood physical disorder, violent crime, income inequality, firearm prevalence, and community alcohol use patterns were retrieved from the online resource County Health Rankings and Roadmaps. Using a nested case-control design, we determined significant sexual violence risk within younger cohorts and across relationship types, finding three significant county-level factors: 1) income inequality, 2) rate of firearm fatalities, and 3) percentage of female residents. Suggested prevention and intervention efforts include targeting younger age groups for IPSV and NIPSV education, developing resources for a range of relational partners, improving legal access and law enforcement training for reporting, and continued examination of the role of firearms.

Predictors of Treatment Noncompletion in a Sample of Inpatient Sex Offenders With Serious Mental Illness.

OBJECTIVE: Very little is known regarding noncompletion of sex offender treatment among sex offenders with serious psychiatric illness. The purpose of the study was to identify factors predictive of treatment noncompletion in a forensic psychiatric sample of 156 adult male sex offenders. METHODS: All data were coded from archival client medical records. Variables of interest, including indicators of historical risk and clinical diagnoses made by hospital psychiatrists, were entered into both a linear regression equation with percentage of groups attended over two years as a continuous variable and a logistic regression equation for predicting more or less than 50% sex offender treatment group attendance. RESULTS: Significant predictors of treatment noncompletion included number of arrests, recent physical aggression, length of admission, and diagnoses of borderline personality disorder, psychosis, and intellectual impairments. CONCLUSIONS: The resulting predictors indicate a combination of relevant variables for psychiatric sex offenders, combining both criminal risk and clinical risk indicators. Suggested reasons for these findings and implications for predicting treatment noncompletion by psychiatric sex offenders are discussed.