A significant proportion of patients with a personality disorder do not benefit from treatment. Monitoring treatment progress can help adjust ineffective treatments. This study examined whether early changes in symptoms and personality dysfunction during the first phase of therapy could predict treatment outcomes. Data from 841 patients who received specialized treatment for personality disorders were analyzed. The study focused on whether changes in the Outcome Questionnaire-45.2 (OQ-45.2) symptom distress scale (SD), the General Assessment of Personality Disorder (GAPD), and Severity Indices of Personality Problems (SIPP) in the early phase of therapy predicted post-treatment personality dysfunction, as measured by the SIPP and GAPD. Early changes within a specific SIPP domain were the strongest predictors of post-treatment outcomes in that same domain. Early changes in symptoms significantly predicted outcomes in Self-Control, Relational Functioning, and Identity Integration, while the GAPD predicted outcomes in Self-Control and Social Attunement on the SIPP. For the GAPD, early changes on the GAPD itself, followed by early changes on the OQ-45 SD and the SIPP domain Social Attunement, were significant predictors. Thus, when it comes to personality dysfunction, early changes in a specific domain or measure are the best predictors of outcomes in that same domain. While the OQ-45 predicted some aspects of personality dysfunction, it should not replace disorder-specific measures. Additionally, the SIPP domains and the GAPD should not be used interchangeably to predict each other. In sum, considering these factors, monitoring early change can be useful in assessing progress in the treatment of patients with personality disorders.

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The escalating global concerns surrounding radicalization and violent extremism necessitate a comprehensive understanding and explanation. Identifying the risk factors associated with radicalism and violent extremism is critical to the development of risk assessment, prevention, and intervention strategies. It is imperative to distinguish these risks from civic responsibilities (i.e., activism) to safeguard individual rights. This study aims to examine the association between well-established risk factors for violence-personality disorder symptoms-and violent extremist attitudes, radicalism, and activism. Findings indicate that antisocial personality disorder symptoms were linked to violent extremist attitudes and radicalism, whereas obsessive-compulsive disorder symptoms were related to activism. This suggests that obsessive-compulsive personality disorder may signify a readiness for legal and nonviolent political action; in contrast, antisocial personality disorder symptoms signify a readiness for extremist violence and illegal political action.

Personality disorder (PD) is particularly common in adolescents, which underscores the significance of early screening, diagnosis, and intervention. To date, the definition of PD in the new ICD-11 has not yet been investigated in adolescents. This study therefore aimed to investigate the unidimensionality and criterion validity of self-reported ICD-11 PD features in Peruvian adolescents using the Personality Disorder Severity ICD-11 (PDS-ICD-11) scale. A total of 1,073 students (63% female; age range 12-16 years) were administered the PDS-ICD-11 scale along with criterion measures of personality pathology and symptom distress. The PDS-ICD-11 score showed adequate unidimensionality and conceptually meaningful associations with external criterion variables. The findings indicate that ICD-11 PD features, as measured with the PDS-ICD-11 scale, are structurally and conceptually sound when employed with adolescents. Norm-based cutoffs derived from the present study may be used for clinical interpretation. The PDS-ICD-11 may be employed as an efficient screening tool for personality dysfunction in adolescents.

Background: Posttraumatic stress disorder (PTSD) is associated with high rates of cluster C personality disorders (PD), which may negatively affect PTSD treatment. It is unknown whether concurrent treatment for PTSD and comorbid PD leads to superior treatment effects, compared to standard trauma-focused treatment.Objective: The objective was to test the efficacy of adding personality disorder treatment (group schema therapy; GST) to individual trauma-focused treatment (imagery rescripting; ImRs).Method: A two-arm randomized clinical trial (1:1 allocation ratio) was conducted between 2018 and 2023 at two sites of a mental health institution in the Netherlands. Raters were blind to treatment allocation. Adult outpatients with PTSD and comorbid cluster C personality disorders were randomized to receive either ImRs (12-18 sessions) or ImRs + GST (12-18 ImRs + 52-58 GST). The main outcome was PTSD severity one year after start of treatment measured with the Clinician-Administered PTSD Scale for DSM-5.Results: Of 130 patients (mean [SD] age = 40.6 [11.2], 110 [85%] females), 66 were assigned to ImRs and 64 to ImRs + GST. At 12 months, there were large decreases in PTSD severity (dImRs = 2.42, 95%CI = 1.97-2.87; dImRs + GST = 2.44, 95%CI = 1.99-2.90), but there was no significant difference between conditions (d = 0.02, 95%CI = -0.33-0.36, p = .944). Reductions in personality disorder symptoms and all other secondary outcomes were observed in both conditions. There were no significant differences between conditions on any of the secondary outcomes at 12 months.Conclusion: The more intensive concurrent trauma-focused and personality disorder treatment (ImRs + GST) was not superior to trauma-focused treatment alone (ImRs) for patients with PTSD and comorbid CPD. This suggests that trauma-focused treatment is the preferred primary treatment in patients presenting with both internalizing personality disorder and PTSD, reserving the stepping up to more intensive psychotherapy aimed at the personality disorder as a second line of treatment.Trial registration: ClinicalTrials.gov identifier: NCT03833531.
Concurrent trauma-focused and personality disorder treatment was not superior to only trauma-focused treatment for patients with posttraumatic stress disorder (PTSD) and comorbid cluster C personality disorders.Large reductions in PTSD severity and medium-to-large reductions in all secondary outcomes, including personality disorder symptoms, were observed in both treatment arms.These findings are remarkable, given the higher therapy dosage and specialized treatment for personality disorder comorbidity in the combined treatment arm.

UNASSIGNED: Psychopathology research mainly focused on the cross-sectional and longitudinal associations between personality and psychiatric disorders without considering the moment-to-moment dynamics of personality in response to environmental situations. The present study aimed to both cluster a young sample according to three mixed clinical conditions (poor sleep quality, depression, and somatization) and to predict the derived clusters by maladaptive personality traits and sex differences using a deep machine learning approach.
UNASSIGNED: A sample of 839 adults aged 18-40 years (64% female) from the west of Iran were clustered according to the mixed clinical conditions using the cluster analysis techniques. An Artificial Neural Network (ANN) modeling is used to predict the derived clusters by maladaptive personality traits and biological gender. A receiver operating characteristic (ROC) curve was used to identify independent variables with high sensitivity specific to the derived clusters.
UNASSIGNED: The cluster analysis techniques suggested a fully stable and acceptable four-cluster solution for Depressed Poor Sleepers, Nonclinical Good Sleepers, Subclinical Poor Sleepers, and Clinical Poor Sleepers. The ANN model led to the identification of one hidden layer with two hidden units. The results of Area under the ROC Curve were relatively to completely acceptable, ranging from.726 to.855. Anhedonia, perceptual dysregulation, depressivity, anxiousness, and unusual beliefs are the most valuable traits with importance higher than 70%.
UNASSIGNED: The machine learning approach can be well used to predict mixed clinical conditions by maladaptive personality traits. Future research can test the complexity of normal personality traits connected to mixed clinical conditions.

BACKGROUND: Misophonia is a chronic condition in which the exposure to specific sounds increases the arousal and recurrence of specific intense negative emotions. We hypothesized that misophonia may be strongly related to maladaptive interpersonal schemas that create difficulties in interpersonal relationships. Subjects with maladaptive interpersonal schemas think that other people try to subjugate, criticize, dominate, exploit, deceive, disregard, and humiliate them. Furthermore, these patients typically endorse a representation of self as mistreated, constricted, harmed, damaged, humiliated, impotent, inadequate, or fragile.
METHODS: We describe the course of a treatment of Metacognitive Interpersonal Therapy (MIT) in a young man presenting misophonia and co-occurrent obsessive-compulsive personality disorder (OCPD) and avoidant personality disorder (AvPD), with narcissistic traits and normal hearing. We collected qualitative and quantitative data at the beginning of the intervention and at 2 years follow-up.
RESULTS: The therapy aimed at increasing awareness of maladaptive interpersonal schemas and promoting a healthy self. The results reported a significant decrease in misophonia; behavioural experiments were used to increase the quality of social relationships and tolerance to the trigger sounds.
CONCLUSIONS: MIT can be an effective therapy for the treatment of misophonia.

BACKGROUND: High dropout and low treatment attendance rates among patients with posttraumatic stress disorder (PTSD) and personality disorders (PDs) continue to pose a significant challenge. Despite numerous studies focusing on enhancing treatment attendance, the identification of consistent and reliable predictors in patients with PTSD and comorbid PDs remains limited.
OBJECTIVE: This study aims to investigate a wide range of potential predictors of treatment attendance, encompassing demographic, patient-severity, treatment, and therapist-related variables in patients with PTSD and comorbid borderline and/or cluster C PDs.
METHODS: Utilizing data from 255 patients participating in two randomized controlled trials comparing trauma-focused treatment with or without concurrent PD treatment, candidate predictors were individually analyzed in univariate regression models. Significant predictors were then combined in a multiple ordinal regression model.
RESULTS: In total, 40% of patients attended fewer trauma-focused treatment sessions than the minimum recommended in treatment guidelines. Out of the 38 candidate predictors examined, five significant, independent predictors of treatment attendance emerged in a multiple ordinal regression model. Higher baseline PTSD severity (OR = 1.04, p = .036), higher education level (OR = 1.22, p = .009) and a stronger patient-rated working alliance (OR = 1.72, p = .047) with the therapist predicted higher treatment attendance. Conversely, inadequate social support from friends (OR = 0.90, p = .042) and concurrent PD treatment and trauma-focused treatment (OR = 0.52, p = .022) were associated with lower treatment attendance.
CONCLUSIONS: In conclusion, this constitutes the first study investigating predictors of treatment attendance in patients with PTSD and comorbid PDs. The results highlight the complexity of pinpointing reliable predictors. Nevertheless, the identification of five predictors provides valuable insights, aiding clinicians in customizing treatment strategies for individual patients and enhancing overall treatment attendance.

UNASSIGNED: Borderline Personality Disorder (BPD) traits play a crucial role in the prognosis of psychiatric disorders, as well as in assessing risks associated with negativity and impulsivity. However, there is a lack of data regarding the distribution characteristics of BPD traits and symptoms within clinical populations.
UNASSIGNED: A total of 3015 participants (1321 males, 1694 females) were consecutively sampled from outpatients at the psychiatric and psycho-counseling clinics at the Shanghai Mental Health Center. BPD symptoms were assessed using a self-reported personality diagnostic questionnaire. Having BPD traits is defined as having five or more positive items in self-reported BPD characteristics. Participants were stratified into male and female groups, age groups, and diagnostic groups (schizophrenia, mood disorders, anxiety disorders). Exploratory factor analysis using principal components analysis was conducted. Three factors were identified: \"F1: Affective Instability and Impulsivity\", \"F2: Interpersonal Unstable and Extreme Reactions\", and \"F3: Identity Disturbance\".
UNASSIGNED: Among 3015 participants, 45.9% of the patients self-reported BPD traits. Comparing of male and female patients, there was no statistically significant difference in the occurrence rate of BPD traits (χ2 = 1.835, p=0.176). However, in terms of symptoms, female patients reported more symptoms than male patients. Female patients also exhibited more pronounced features on F2 compared to male patients (t =-1.972, p=0.049). There is a general decrease in BPD traits, symptoms, and factors with increasing age. Specifically, the proportion of positive BPD traits is approximately halved before the age of 30 and decreases to around one-third after the age of 30. BPD traits were most common in the Mood Disorders group at 55.7%, followed by the Anxiety Disorders group at 44.4%, and Schizophrenia group at 41.5% (χ2 = 38.084, p<0.001).
UNASSIGNED: Our study revealed the pervasive presence of BPD traits and symptoms among psychiatric outpatients, exhibiting distinctive distributions across gender, age, and diagnostic categories. These findings emphasize the significance of identifying and addressing BPD pathology in the clinical care of psychiatric outpatients.

BACKGROUND: We describe a collection of themes for a research agenda for personality disorders that was originally formulated for the ESSPD Borderline Congress in 2022.
METHODS: Experts with lived and living experience (EE), researchers and clinicians met virtually, exchanged ideas and discussed research topics for the field of personality disorders. The experts - patients, relatives, significant others - named the topics they thought most relevant for further research in the field. These topics were presented at the ESPPD conference in October 2022.
RESULTS: The five top themes were: 1. Prevention, early detection and intervention, 2. Recovery beyond symptom improvement, 3. Involvement of relatives in treatment, 4. Gender dysphoria, and 5. Stigma.
CONCLUSIONS: In general, the topics reflect current issues and changes in societal values. Overarching aims of research on these topics are the improvement of social participation and integration in society, better dissemination of research, and better information of the general public and political stakeholders.