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Background: With the development of multidisciplinary addictology teams, the ability of an addictologist to reliably assess personality psychopathology can be considered an important prerequisite that significantly enters the process of treatment planning. Aims: Verification of the reliability and validity of the assessment of personality psychopathology in master's students of Addictology (addiction science) based on the Structured Interview of Personality Organization (STIPO) scoring course. Methods: 31 Master's students of Addictology independently evaluated 7 STIPO protocols based on recordings. The presented patients were unknown to the students. The resulting scores of students were compared with 1. expert scores of a clinical psychologist with extensive experience with the STIPO; 2. scores of 4 psychologists without previous experience with the STIPO who have attended the course; 3. information on previous clinical experience and education of the students. The comparison of scores was performed using a coefficient of intraclass correlation, a social relation model analysis and linear mixed-effect models. Results: Students demonstrated a high degree of inter-rater reliability with a significant degree of agreement in patient assessments, as well as a high to satisfactory degree of validity in the STIPO assessments. An increase in validity after the individual phases of the course was not proven. Their evaluations were generally independent of previous education, as well as diagnostic and therapeutic experience. Conclusions: The STIPO seems to be a useful tool to facilitate the communication of personality psychopathology between independent experts within multidisciplinary addictology teams. Training in the STIPO can be a useful addition to the study curriculum.

BackgroundThere is a presumption that pathological narcissism, or narcissistic personality disorder per se, can be considered a precursor to addiction. Although the ICD-11 model does not distinguish specific personality disorders, narcissistic psychopathology should be captured through personality trait qualifiers.ObjectivesTo verify the capacity of the ICD-11 model in the detection of narcissistic psychopathology in patients with addiction; to test its discrimination capacity, convergent validity, and specificity toward the gender and the type of addiction.Materials and methodsTwo samples were employed in the study. Sample 1 (n = 421) consisted of patients with addiction; Sample 2 (n = 567) consisted of general population volunteers. Age range was 18–75 years and a battery of self-assessment questionnaires containing Personality Inventory for DSM-5–Brief Form Plus Modified; Triarchic Psychopathy Measure; Hypersensitive Narcissism Scale; and Level of Personality Functioning Scale-Self-Report was administered by pencil-and-paper method.ResultsThe following was confirmed: (1) capacity of the ICD-11 model in relation to capture narcissistic pathology; (2) the differentiation capacity between the clinical and non-clinical population; (3) gender specificity in relation to grandiose and vulnerable narcissism; (4) the connection between the overall degree of impairment in personality functioning and most of trait qualifiers; (5) certain specifics of patients with addiction in relation to the type of addiction.ConclusionResults support the empirical and clinical relevance of the ICD-11 model in capturing narcissistic pathology in addicted patients. Clinical implications concerning assessment and treatment in addiction settings, and certain limits regarding the Anankastia domain are discussed.

Background: Personality pathology does not have to be a contraindication to a bariatric surgery if a proper pre-surgical assessment is done. Indicating subgroups of patients with their specific needs could help tailor interventions and improve surgical treatment outcomes.Objectives: Using the Alternative DSM-5 model for personality disorders (AMPD) and the ICD-11 model for PDs to detect subgroups of patients with obesity based on a specific constellation of maladaptive personality traits and the level of overall personality impairment.Methods: 272 consecutively consented patients who underwent a standard pre-surgical psychological assessment. The majority were women (58.0%), age range was 22–79 years (M = 48.06, SD = 10.70). Patients’ average body mass index (BMI) was 43.95 kg/m2. All participants were administered the Personality Inventory for DSM-5 (PID-5) from which Level of Personality Functioning Scale-Self Report (LPFS-SR) and Standardized Assessment of Severity of Personality Disorder (SASPD) scores were gained using the “crosswalk” for common metric for self-reported severity of personality disorder. The k-means clustering method was used to define specific subgroups of patients with obesity and replicated for equality testing to the samples of non-clinical respondents and psychiatric patients.Results: The cluster analysis detected specific groups in the sample of patients with obesity, which differed quantitatively from the samples of non-clinical respondents and psychiatric patients. A vast majority of patients with obesity showed above-average values in most of the PID-5 facets compared to the United States representative general community sample. In two out of the three clusters defined, patients demonstrated moderate (> M + 1.5 × SD) to severe (> M + 2.0 × SD) personality psychopathology within the Detachment and Negative Affectivity domains according to PID-5, which in one of the clusters corresponded to the mild overall impairment in both, LPFS-SR (M = 2.18, SD = 0.27) and SASPD (M = 8.44, SD = 2.38). Moreover, higher levels of psychopathology prove to be associated with higher age and use of psychiatric medication.Conclusions: The dimensional DSM-5 and ICD-11 trait models are suitable procedures for defining specific “characters” of patients in a pre-bariatric setting. As such, they help to identify subgroups of patients with obesity who are different from general population and psychiatric patients. Implications for clinical practice and further research are discussed.

Background: Empirical soundness and international robustness of the PID5BF+M, a shortened version of the PID-5 developed for simultaneous evaluation of maladaptive personality traits in the DSM-5 AMPD and ICD-11 models for personality disorders, was recently confirmed in 16 samples from different countries. Because the modified PID5BF+ scale (36 items) was extracted from the complete 220-item PID-5, an independent evaluation of psychometric properties of a stand-alone PID5BF+M is still missing.Objectives: The present study evaluated the validity and reliability of the 36-item PID5BF+M in comparison with the extracted version from the original PID-5. It also assessed associations between the Borderline Pattern qualifier and trait domain qualifiers.Methods: Two non-clinical samples meeting the inclusion criteria were employed in the study. Sample 1 (n = 614) completed the 220-item PID-5; Sample 2 (n = 1,040) completed the independent 36-item PID5BF+M. Participants were from all 14 regions of the Czech Republic. The Borderline Pattern qualifier was evaluated using a shortened IPDEQ screener.Results: The proposed latent structure of the independent PID5BF+M was confirmed, with an exception of the Disinhibition domain. The results confirmed good internal consistency and test-retest reliability of the measure, as well as some support for the measurement invariance of the independent PID5BF+M in comparison with the extracted version from the original PID-5. Significant associations between the Negative affectivity, Disinhibition, and Psychoticism qualifiers and the IPDEQ items for the emotionally unstable personality disorder of both impulsive and borderline types confirmed good predictive validity of the PID5BF+M in pursuing borderline psychopathology within the ICD-11 model.Conclusions: The independent PID5BF+M was found to be a valid and reliable tool for evaluation of the ICD-11 trait model. However, the Disinhibition domain deserves further investigation in clinical samples as well as in international community samples.