Examining the Convergence of Clinicians’ Ratings of Maladaptive Personality Traits and Categorical Diagnostic Criteria of Borderline Personality Disorder

Maladaptive personality trait domains of negative affectivity, antagonism, and disinhibition undergird the borderline personality disorder (BPD) diagnosis according to the Alternative Model for Personality Disorders (AMPD). The current study compared the associations among clinicians' ratings of maladaptive personality traits, categorical BPD diagnostic criteria, and the global BPD diagnosis in response to a clinical vignette using a large, diverse sample (<i>N</i> = 426) of licensed mental health care practitioners in the United States and Canada. Negative affectivity emerged as the most consistent predictor of BPD criteria and the global diagnosis. At the trait facet level, emotional lability was the most consistent independent predictor of BPD criteria and diagnosis. These findings suggest that clinicians' agreement with BPD diagnostic criteria corresponds with their perceptions of the patients as experiencing problems related to instability of emotional experiences, feelings of nervousness and frequent worry, and a tendency to engage in dangerous and risky behaviors.

Authors

Institutions

Publication Details

Journal
Journal of Personality Disorders
Published
2025-10-01
DOI
https://doi.org/10.1521/pedi.2025.39.5.355
Primary Topic
Personality Disorders and Psychopathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examining the Convergence of Clinicians’ Ratings of Maladaptive Personality Traits and Categorical Diagnostic Criteria of Borderline Personality Disorder

Ana Carolina de Araujo Oliveira, Craig Rodriguez-Seijas
Journal of Personality Disorders
Personality Disorders and Psychopathology
article

Examining the Convergence of Clinicians’ Ratings of Maladaptive Personality Traits and Categorical Diagnostic Criteria of Borderline Personality Disorder

Ana Carolina de Araujo Oliveira, Craig Rodriguez-Seijas
article en

Abstract

Maladaptive personality trait domains of negative affectivity, antagonism, and disinhibition undergird the borderline personality disorder (BPD) diagnosis according to the Alternative Model for Personality Disorders (AMPD). The current study compared the associations among clinicians' ratings of maladaptive personality traits, categorical BPD diagnostic criteria, and the global BPD diagnosis in response to a clinical vignette using a large, diverse sample (<i>N</i> = 426) of licensed mental health care practitioners in the United States and Canada. Negative affectivity emerged as the most consistent predictor of BPD criteria and the global diagnosis. At the trait facet level, emotional lability was the most consistent independent predictor of BPD criteria and diagnosis. These findings suggest that clinicians' agreement with BPD diagnostic criteria corresponds with their perceptions of the patients as experiencing problems related to instability of emotional experiences, feelings of nervousness and frequent worry, and a tendency to engage in dangerous and risky behaviors.

Journal of Personality DisordersVol. 39(5)
University of Michigan (US)
Openalex Percentile: Top 58%
Personality Disorders and Psychopathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Examining the Convergence of Clinicians’ Ratings of Maladaptive Personality Traits and Categorical Diagnostic Criteria of Borderline Personality Disorder — Ana Carolina de Araujo Oliveira, Craig Rodriguez-Seijas · Journal of Personality Disorders (2025) | TGRS Research Map | TGRS