Clinical Psychological Science最新文献

In a recent call to action, we described pressing issues in the health-service-psychology (HSP) internship from the perspective of interns. In our article, we sought to initiate a dialogue that would include trainees and bring about concrete changes. The commentaries on our article are a testament to the readiness of the field to engage in such a dialogue, and we applaud the actionable recommendations that they make. In our response to these commentaries, we seek to move the conversation further forward. We observe two themes that cut across these responses: the impetus to gather novel data on training (the "need to know") and the importance of taking action (the "need to act"). We emphasize that in new efforts to gather data and take policy-level action, the inclusion of trainee stakeholders (as well as others involved in and affected by HSP training) is a crucial ingredient for sustainable and equitable change.

Clinical high risk for psychosis (CHR) is a transdiagnostic risk state. However, it is unclear how risk states such as CHR fit within broad transdiagnostic models such as the Hierarchical Taxonomy of Psychopathology (HiTOP). In this study, a hierarchical dimensional symptom structure was defined by unfolding factor analysis of self-report data from 3,460 young adults (m_age=20.3). A subsample (n=436) completed clinical interviews, 85 of whom met CHR criteria. Regression models examined relationships between symptom dimensions, CHR status, and clinician-rated symptoms. CHR status was best explained by a reality distortion dimension, with contributions from internalizing dimensions. Positive and negative attenuated psychotic symptoms were best explained by multiple psychotic and nonpsychotic symptom dimensions including reality distortion, distress, fear, detachment, and mania. Attenuated psychotic symptoms are a complex presenting problem warranting comprehensive assessment. HiTOP can provide both diagnostic precision and broad transdiagnostic coverage, making it a valuable resource for use with at-risk individuals.

Sexual-minority adolescents frequently endure peer rejection, yet scant research has investigated sexual-orientation differences in behavioral and neural reactions to peer rejection and acceptance. In a community sample of adolescents approximately 15 years old (47.2% female; same-sex attracted: n = 36, exclusively other-sex attracted: n = 310), we examined associations among sexual orientation and behavioral and neural reactivity to peer feedback and the moderating role of family support. Participants completed a social-interaction task while electroencephalogram data were recorded in which they voted to accept/reject peers and, in turn, received peer acceptance/rejection feedback. Compared with heterosexual adolescents, sexual-minority adolescents engaged in more behavioral efforts to ingratiate after peer rejection and demonstrated more blunted neural reactivity to peer acceptance at low, but not medium or high, levels of family support. By using a simulated real-world social-interaction task, these results demonstrate that sexual-minority adolescents display distinct behavioral and neural reactions to peer acceptance and rejection.

To effectively address the staggering burden of mental illness, clinical psychological science will need to face some uncomfortable truths about current training practices. In a commentary authored by 23 current or recent trainees, Palitsky and colleagues highlight a number of urgent challenges facing today's clinical interns. They provide a thoughtful framework for reform, with specific recommendations and guiding questions for a broad spectrum of stakeholders. Key suggestions are applicable to the entire sequence of clinical training. While there is cause for cautious optimism, overcoming these systemic barriers will require a coordinated, all-hands approach and a more collaborative approach to policy-making.

Over the past 10 years, the general factor of psychopathology, p, has attracted interest and scrutiny. We review the history of the idea that all mental disorders share something in common, p; how we arrived at this idea; and how it became conflated with a statistical representation, the Bi-Factor Model. We then leverage the Environmental Risk (E-Risk) longitudinal twin study to examine the properties and nomological network of different statistical representations of p. We find that p performed similarly regardless of how it was modelled, suggesting that if the sample and content are the same the resulting p factor will be similar. We suggest that the meaning of p is not to be found by dueling over statistical models but by conducting well-specified criterion-validation studies and developing new measurement approaches. We outline new directions to refresh research efforts to uncover what all mental disorders have in common.