is employed as head of innovation at VAMED Gesundheit Holding Deutschland GmbH (private German Health Care Provider running several rehabilitation hospitals and other health care facilities). Dr. Ebert has served as a consultant to/on the scientific advisory boards of Sanofi, Novartis, Minddistrict, Lantern, Schoen Kliniken, Ideamed and German health insurance companies (BARMER, Techniker Krankenkasse) and a number of federal chambers for psychotherapy. Dr. Ebert is a stakeholder of HelloBetter-GET.ON institute for health training online, which aims to implement scientific findings related to digital health interventions into routine All other authors declare no conflict of interest.

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical-based classification of psychopathology. Detachment is one of the six spectra in the current HiTOP working model. The aim of this study was to develop preliminary scales for the HiTOP Detachment spectrum that can be used in the next phase of developing a comprehensive measure of HiTOP. We had 456 participants from MTurk (Sample 1) and 266 university students (Sample 2) complete an online survey including a pool of 247 Detachment items assessing 15 consensually defined low-order constructs. Using a stepwise procedure involving factor analyses and ant colony optimization methods, we developed seven 8-item scales that capture unipolar facets of Detachment: anhedonia, suspiciousness, social withdrawal, intimacy avoidance, unassertiveness, risk aversion, and restricted affectivity. Three other 8-item scales emerged that tapped into a Maladaptive Extraversion construct (attention-seeking, thrill-seeking, and domineering), which was mostly unrelated to unipolar Detachment in factor analyses. The 10 scales were unidimensional, reliable, and showed some evidence of convergent and discriminant validity. We discuss challenges of assessing Detachment when moving forward with developing a comprehensive measure of HiTOP.

The LoPF-Q 12–18 (Levels of Personality Functioning Questionnaire) was designed for clinical use and to promote early detection of personality disorder (PD). It is a self-report measure with 97 items to assess personality functioning in adolescents from 12 years up. It operationalizes the dimensional concept of personality disorder (PD) severity used in the Alternative DSM-5 Model for Personality Disorders and the ICD-11. In this study, we investigated the factorial structure of the LoPF-Q 12–18. Additionally, a short version was developed to meet the need of efficient screening for PD in clinical and research applications. To investigate the factorial structure, several confirmatory factor analysis models were compared. A bifactor model with a strong general factor and four specific factors showed the best nominal fit (CFI = .91, RMSEA = .04, SRMR = .07). The short version was derived using the ant colony optimization algorithm. This procedure resulted in a 20-item version with excellent fit for a hierarchical model with four first order factors to represent the domains and a secondary higher order factor to represent personality functioning (CFI = .98, RMSEA = .05, SRMR = .04). Clinical validity (effect size d = 3.1 between PD patients and controls) and clinical utility (cutoff ≥ 36 providing 87.5% specificity and 80.2% sensitivity) for detecting patients with PD were high for the short version. Both, the long and short LoPF-Q 12–18 version are ready to be used for research and diagnostic purposes.

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Abstract. Background: Little is known about the relations of the mindfulness facets to mental and physical health among meditators and nonmeditators. Aim: The main purpose of the present study was to investigate the relationship between the mindfulness facets and mental as well as physical health of university students with and without meditation experience using attentional control, body awareness, nonattachment, and emotion regulation as mediators. Method: Data were collected from a sample of 508 university students (meditators: n = 195, nonmeditators n = 313). Path analysis models were used to examine the associations between the mindfulness facets, all candidate mediators and the outcome variables mental and physical health complaints. Additionally, a bootstrapping procedure was used to test the significance of the indirect effects. Results: Results showed that the associations between the mindfulness facets, the proposed mediators, and mental and physical health complaints were similar between students with and without meditation experience. Nonattachment and body awareness were the most important mediators. Limitations: Only self-report questionnaires were used in the study, and the majority of the sample was women and enrolled in health and social science studies. Conclusion: The results indicated that the investigation of mindfulness at the facet level is worthwhile. The study helps to clarify the associations between the mindfulness facets and mental as well as physical health among students with and without meditation experience. Further, mindfulness mediators should be examined in intervention studies.