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ABSTRACT: The Revised Diagnostic Interview for Borderlines (DIB-R; Zanarini, Gunderson, Frankenburg, & Chauncey, 1989) measures four major aspects of borderline personality disorder (BPD): Affect, Cognition, Impulse Action Patterns, and Interpersonal Relationships. In the present study, 353 young adults completed the DIB-R at age 18 (Wave 1) and again two years later (Wave 2) at age 20. Concerning the prediction of future BPD features, three models were compared: (a) Wave 1 Affect scores predicting all Wave 2 BPD features (NA model); (b) Wave 1 Impulse Action Patterns scores predicting all Wave 2 BPD features (IMP model); and (c) both Wave 1 Affect and Impulse Action Patterns scores predicting all Wave 2 BPD features (NA-IMP model). Each model controlled for stabilities over time and within-time covariances. Results indicated that the NA model provided the best fit to the data, and improved model fit over a baseline stabilities model and the other models tested. However, even within the NA model there was some evidence that the impulsivity scores were not accounted for by other BPD features. These results suggest that although negative affect is predictive of most BPD symptoms, it does not fully predict future impulsive behavior.
Journal of personality disorders 06/2010; 24(3):377-91. · 3.08 Impact Factor
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ABSTRACT: Models of borderline personality disorder (BPD) suggest that extreme levels of affective instability/emotional dysregulation, impulsivity, or the combination of these two traits account for the symptoms characteristic of BPD. The present study utilized longitudinal data to evaluate the ability of Personality Assessment Inventory-Borderline Features (PAI-BOR; Morey, 1991) subscale scores to predict BPD features two years later as a test of these models of BPD. Participants were 156 male and 194 female young adults who completed the PAI-BOR at age 18 and again two years later. Three models were compared: (a) Wave 1 affective instability scores predicting Wave 2 BPD features (AI model); (b) Wave 1 self-harm/impulsivity scores predicting Wave 2 BPD features (IMP model); and (c) both Wave 1 affective instability and self-harm/impulsivity scores predicting Wave 2 BPD features (AI-IMP model), all controlling for stabilities and within-time covariances. Results indicated that the AI model provided the best fit to the data, and improved model fit over a baseline stabilities model and the other models tested. These results are consistent with Linehan's theory (1993) that emotional dysregulation drives the other BPD symptoms.
Journal of Personality Disorders 01/2008; 21(6):603-14. · 2.31 Impact Factor
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ABSTRACT: Increasingly, mobile technologies are used to gather diary data in basic research and clinical studies. This article considers issues relevant to the integration of electronic diary (ED) methods in clinical assessment. EDs can be used to gather rich information regarding clients' day-to-day experiences, aiding diagnosis, treatment planning, treatment implementation, and treatment evaluation. The authors review the benefits of using diary methods in addition to retrospective assessments, and they review studies assessing whether EDs yield higher quality data than conventional, less expensive paper-pencil diaries. Practical considerations--including what platforms can be used to implement EDs, what features they should have, and considerations in designing diary protocols for sampling different types of clinical phenomena--are described. The authors briefly illustrate with examples some ways in which ED data could be summarized for clinical use. Finally, the authors consider barriers to clinical adoption of EDs. EDs are likely to become increasingly popular tools in routine clinical assessment as clinicians become more familiar with the logic of diary designs; as software packages evolve to meet the needs of clinicians; and as mobile technologies become ubiquitous, robust, and inexpensive.
Psychological Assessment 04/2007; 19(1):25-43. · 2.99 Impact Factor
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ABSTRACT: We describe several dimensional models of personality disorders and highlight future directions for the integration of dimensional approaches in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V). This review is timely and relevant, given the upcoming revision of DSM (DSM-V).
Research has identified four common higher order factors that could be used to characterize personality pathology. Evidence supports the inclusion of this dimensional representation of personality disorders in DSM-V, possibly as an adjunct to the traditional categorical classification scheme. A dimensional approach would ameliorate many of the problems associated with the categorical approach. Issues that still need to be addressed are on how to integrate these dimensions into the current classification system in a way that they will be accepted by clinicians and psychopathologists. The clinical utility of the dimensional models must be demonstrated, and the development of a method that combines trait elevations and impairment associated with personality pathology is needed in order to define personality disorder from a dimensional perspective.
Although there may be some initial resistance to the incorporation of the dimensional models in the future diagnostic manuals, researchers and clinicians are expected to benefit from the more reliable and valid portrayal of personality pathology.
Current Opinion in Psychiatry 02/2007; 20(1):52-6. · 3.05 Impact Factor
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Marika. Solhan
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ABSTRACT: Affective instability and impulsivity are primary features of borderline personality disorder (BPD). We examined the effect of an interaction between these features, represented by FFM analogues of negative affectivity and disinhibition, on the expression of BPD symptoms. Our sample consisted of college undergraduates, a portion of whom endorsed clinically significant borderline personality features, assessed twice over two years. Results indicate that the interaction between affective instability and impulsivity accounted for a significant amount of variance in BPD symptoms, measured both concurrently and prospectively. These findings suggest that individuals high in both negative affectivity and disinhibition exhibited increased levels of BPD symptomatology, even after controlling for comorbid mood and substance use disorders. These results are important for understanding the etiology and course of BPD and for improving assessment, diagnosis, and treatment of BPD The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Mode of access: World Wide Web. Title from title screen of research.pdf file (viewed on August 28, 2007) Thesis (M.A.) University of Missouri-Columbia, 2006. Includes bibliographical references.
