A Model-Based Strategy for Interfacing Traits of the DSM-5 AMPD With Neurobiology
Author(s) -
Colin B. Bowyer,
Keanan J. Joyner,
Robert D. Latzman,
Noah C. Venables,
Jens Foell,
Christopher J. Patrick
Publication year - 2020
Publication title -
journal of personality disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.23
H-Index - 93
eISSN - 1943-2763
pISSN - 0885-579X
DOI - 10.1521/pedi.2020.34.5.586
Subject(s) - psychology , operationalization , trait , psychopathology , big five personality traits , personality , developmental psychology , structural equation modeling , clinical psychology , social psychology , philosophy , statistics , mathematics , epistemology , computer science , programming language
The DSM-5 alternative model for personality disorders (AMPD) groups traits into domains based on factor analyses of self-report data. AMPD traits may need to be configured differently to interface with neurobiology. Focusing on biobehavioral risk for externalizing problems in 334 adults, the authors used structural modeling to evaluate how well alternative configurations of AMPD traits, operationalized using the Personality Inventory for DSM-5 (PID-5), interface with neural indicators of externalizing liability. A model specifying two correlated factors defined by traits within the PID-5 Disinhibition domain and brain-response indicators of externalizing proneness exhibited inadequate fit. However, a model using PID-5 traits with better coverage of biobehavioral externalizing liability evidenced good fit. Scores on this PID-5 trait factor, termed "PID-5 Externalizing Proneness," converged well with criterion measures of externalizing proneness and diverged from measures of threat sensitivity. Findings illustrate how AMPD traits can be configured for use in investigations of biobehavioral risk for psychopathology.
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