Transdiagnostic analysis of adverse childhood experiences and their association with psychopathology–A TRANS-D conform study

•Distinct adverse childhood experience (ACE)-patterns were identified in a transdiagnostic analysis following TRANS-D guidelines.•ACE-patterns cut across diagnostic groups.•Improvement of the transdiagnostic vs. diagnostic approach in predicting psychopathology was demonstrated in a state-of-the art...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Psychiatry research 2023-11, Vol.329, p.115545-115545, Article 115545
Hauptverfasser: Goerigk, Stephan, Reinhard, Matthias A., Barton, Barbara B., Burkhardt, Gerrit, Ehring, Thomas, Bertsch, Katja, Amann, Benedikt L., Sarubin, Nina, Seidl, Elias, Falkai, Peter, Musil, Richard, Jobst, Andrea, Padberg, Frank
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Distinct adverse childhood experience (ACE)-patterns were identified in a transdiagnostic analysis following TRANS-D guidelines.•ACE-patterns cut across diagnostic groups.•Improvement of the transdiagnostic vs. diagnostic approach in predicting psychopathology was demonstrated in a state-of-the art cross-validation framework.•ACE-patterns were validated in an external validation sample. Transdiagnostic approaches challenge traditional psychiatric classification systems. Adverse childhood experiences (ACE) represent a transdiagnostic risk factor for psychopathology with dose dependency. As different qualities of ACE typically co-occur, we identified ACE patterns to assess their power for predicting psychopathology compared to traditional diagnoses. Following TRANS-D guidelines, we categorized participants (N=360) with persistent depressive disorder (PDD), borderline personality disorder (BPD), or healthy control status (HC) into subcategories defined by ACE pattern, using the Childhood Trauma Questionnaire (CTQ). Improvement of the transdiagnostic vs. diagnostic approach in predicting psychopathology was evaluated in a cross-validated predictive modeling framework focusing on the clinical sample of PDD and BPD patients. Results were externally validated in another transdiagnostic sample (N=138). Seven pattern-based subcategories with distinct ACE profiles were identified in the primary sample and replicated in the validation sample. Patterns cut across diagnostic groups. Predictive modeling showed that diagnoses could not predict depressive symptoms and loneliness. Transdiagnostic constructs systematically predicted all measures. This study showcases ACE as a promising construct for transdiagnostic research. Our data-driven framework identified robust ACE subcategories mapping onto general and interpersonal psychopathology. Patterns of CTQ-based information may provide an approach to integrating information on co-occurring ACE to inform diagnostics and treatment. [Display omitted]
ISSN:0165-1781
1872-7123
DOI:10.1016/j.psychres.2023.115545