The Personality Psychopathology Five (PSY-5) model represents 5 broadband dimensional personality domains that align with the originally proposed DSM-5 personality trait system, which was eventually placed in Section III for further study. The main objective of this study was to examine the associations between the PSY-5 model and personality disorder criteria. More specifically, we aimed to determine if the PSY-5 domain scales converged with the alternative DSM-5 Section III model for personality disorders, with a particular emphasis on the personality trait profiles proposed for each of the specific personality disorder types. Two samples from The Netherlands consisting of clinical patients from a personality disorder treatment program (n = 190) and forensic psychiatric hospital (n = 162) were used. All patients had been administered the MMPI-2 (from which MMPI-2-RF PSY-5 scales were scored) and structured clinical interviews to assess personality disorder criteria. Results based on Poisson or negative binomial regression models showed statistically significant and meaningful associations for the hypothesized PSY-5 domains for each of the 6 personality disorders, with a few minor exceptions that are discussed in detail. Implications for these findings are also discussed.

This meta-analysis is the first to our knowledge to evaluate the predictive properties of dynamic sex offender risk assessment instruments, which are designed to assess factors associated with recidivism that are amenable to change. Based on 52 studies (N = 13,446), we found that dynamic risk assessment instruments have small-to-moderate predictive properties, with Cohen's ranging between 0.71 for sexual recidivism (41 studies, 22 unique samples, N = 5,699) and 0.43 for violent (including sexual) recidivism (27 studies, 14 unique samples, N = 10,368). Incremental predictive validity of dynamic over static risk assessment instruments was significant but modest; Cox hazard ratios varied between 1.08 for sexual recidivism (19 studies, 13 unique samples, N = 3,747) and 1.05 for any recidivism (11 studies, 8 unique samples, N = 2,511). Cox hazard ratios for the predictive validity of change scores on dynamic risk assessment instruments, controlling for static and initial dynamic scores, varied between 0.91 for sexual recidivism (6 studies, 6 unique samples, n = 1,980) and 0.95 for any recidivism (3 studies, 3 unique samples, n = 1,172). These findings indicate that dynamic risk assessment instruments can, in terms of Andrews and Bonta's (2010) risk and need principles, be a useful tool for improving sex offender treatment. They have the potential to contribute to the selection of appropriate, more individually tailored treatment approaches (focusing on individually relevant criminogenic need factors) and can assist in the evaluation of treatment effects. Considering this, further development of dynamic risk assessment instruments is warranted. (PsycINFO Database Record

In the current study, we evaluated the associations between the Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF; Ben-Porath & Tellegen, 2008) scale scores and the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013) Section II personality disorder (PD) criterion counts in inpatient and forensic psychiatric samples from The Netherlands using structured clinical interviews to operationalize PDs. The inpatient psychiatric sample included 190 male and female patients and the forensic sample included 162 male psychiatric patients. We conducted correlation and count regression analyses to evaluate the utility of relevant MMPI-2-RF scales in predicting PD criterion count scores. Generally, results from these analyses emerged as conceptually expected and provided evidence that MMPI-2-RF scales can be useful in assessing PDs. At the zero-order level, most hypothesized associations between Section II disorders and MMPI-2-RF scales were supported. Similarly, in the regression analyses, a unique set of predictors emerged for each PD that was generally in line with conceptual expectations. Additionally, the results provided general evidence that PDs can be captured by dimensional psychopathology constructs, which has implications for both DSM-5 Section III specifically and the personality psychopathology literature more broadly.

Although dynamic risk factors are considered important in the assessment and treatment of adult male sex offenders, little is known about their interrelationships. We apply network analysis to assess their associations and to provide an analysis of their shortest pathways to sexual and violent (including sexual contact) recidivism. Analyses revealed a central position for general rejection/loneliness (in all networks), poor cognitive problem solving (in networks containing sexual or violent—including sexual contact—recidivism), and impulsive acts (only in the network including sexual recidivism). These variables represented links between clusters of dynamic risk factors composed of factors relating to sexual self-regulation, emotionally intimate relationships, antisocial traits, and self-management. Impulsive acts showed the strongest independent association with sexual and violent (including sexual contact) recidivism.

Sexual offending behavior is a complex and multifaceted phenomenon. Most existing etiological models describe sexual offending behavior as a variant of offending behavior and mostly include factors referring to disinhibition and sexual deviance. In this article, we argue that there is additional value in describing sexual offending behavior as sexual behavior in terms of an incentive model of sexual motivation. The model describes sexual arousal as an emotion, triggered by a competent stimulus signaling potential reward, and comparable to other emotions coupled with strong bodily reactions. Consequently, we describe sexual offending behavior in terms of this new model with emphasis on the development of deviant sexual interests and preferences. Summarized, the model states that because sexual arousal itself is an emotion, there is a bidirectional relationship between sexual self-regulation and emotional self-regulation. Not only can sex be used to regulate emotional states (i.e., sexual coping), emotions can also be used, consciously or automatically, to regulate sexual arousal (i.e., sexual deviance). Preliminary support for the model is drawn from studies in the field of sex offender research as well as sexology and motivation research.

Sex offender treatment is most effective when tailored to risk-need-responsivity principles, which dictate that treatment levels should match risk levels as assessed by structured risk assessment instruments. The predictive properties, missing values, and interrater agreement of the scores of 9 structured risk assessment instruments were compared in a national sample of 397 Dutch convicted sex offenders. The instruments included the Rapid Risk Assessment for Sexual Offense Recidivism, Static-99, Static-99R, a slightly modified version of Static-2002 and Static-2002R, Structured Anchored Clinical Judgments Minimum, Risk Matrix 2000, Sexual Violence Risk 20, and a modified version of the Sex Offender Risk Appraisal Guide; sexual and violent (including sexual) recidivism was assessed over 5- and 10-year fixed and variable follow-up periods. In general, the instrument scores showed moderate to large predictive accuracy for the occurrence of reoffending and the number of reoffenses in this sample. Predictive accuracy regarding latency showed more variability across instrument scores. Static-2002R and Static-99R scores showed a slight but consistent advantage in predictive properties over the other instrument scores across outcome measures and follow-up periods in this sample. The results of Sexual Violence Risk 20 and Rapid Risk Assessment for Sexual Offense Recidivism scores were the least positive. A positive association between predictive accuracy and interrater agreement at the item level was found for both sexual recidivism (r = .28, p = .01) and violent (including sexual) recidivism (r = .45, p < .001); no significant association was found between predictive accuracy and missing values at the item level. Results underscore the feasibility and utility of these instruments for informing treatment selection according to the risk-need-responsivity principles.

Theory and accumulating data suggest systematic heterogeneity among offenders with psychopathic traits. Several empirical investigations converge on the nature of subtypes, but little is known about differences in treatment responsivity. We have used the 4-facet model of the Psychopathy Checklist–Revised (PCL-R) to provide a framework for detecting subtypes. The present study used the full range of PCL-R scores in a sample of male violent offenders (N = 190) to replicate subtypes found in a partly overlapping sample by Neumann, Vitacco, and Mokros (2016), using Latent Profile Analysis (LPA), and subsequently to examine potential differences in treatment responsivity. Four subtypes emerged. Within the prototypical psychopathic group, the distinction between intent-to-treat and completers was crucial. Prototypical psychopathic offenders were significantly more likely to drop out, but completers appeared to proceed through the different phases of treatment in much the same way as the other groups. Clearly, more research is needed to elucidate treatment interfering mechanisms and their associated patient characteristics, particularly for the prototypical psychopathic group. Developing therapeutic strategies to improve treatment compliance is a necessary step in the development of specialized treatment programs for these difficult patients.

Objective: Risk of sexual reoffending of adult men who committed sexual offenses can be understood as involving a network of causally connected dynamic risk factors. This study examined to what degree findings from previous network analyses, estimated using data from the Dynamic Supervision Project (N = 803; van den Berg et al., 2020), could be replicated. Method: Networks produced with data from the provincial corrections system of British Columbia (N = 4,511) were compared with those found in the original sample, using the Network Comparison Test (van Borkulo et al., 2019) and by correlating both the adjacency matrices of the networks and the rank of the node’s strength centrality across networks. Results: Networks without recidivism, with sexual recidivism, and with violent recidivism (including sexual contact) statistically significant differ in network structure, but not in global strength. Both the adjacency matrices of the networks as well as the rank of the node’s strength centrality across networks were highly correlated. Dynamic risk factors general social rejection/loneliness, lack of concern for others, poor cognitive problem-solving, and impulsive acts showed high-strength centralities. Besides, all networks contained distinct communities of risk factors related to sexual self-regulation, emotionally intimate relationships, antisocial traits, and self-management. Conclusions: We successfully replicated most findings of our original study. Dynamic risk factors concerning social rejection/loneliness, cognitive problem-solving skills, impulsive behavior, and callousness appear to have a relatively strong role in the risk of sexual reoffending. Risk management and treatment strategies to reduce recidivism would benefit from a stronger focus on these dynamic risk factors.