Timothy J. Trull

Personality and disinhibitory psychopathology: alcoholism and antisocial personality disorder.

: We discuss the relation between personality factors and two adult forms of disinhibitory psychopathology--alcohol abuse or dependence and antisocial personality disorder. First, we briefly review various methodological issues relevant to research in this area. Next, we review empirical findings relating three broad-band personality trait dimensions neuroticism/emotionality, impulsivity/disinhibition, extraversion/sociability) to both alcohol abuse and dependence and antisocial personality disorder. Finally, theoretical models of the relationship between personality and each of these two disorders are presented. We conclude that although no single personality description is likely to be both a sensitive and specific indicator of either alcoholism or antisocial personality disorder, personality variables are important components of etiological models of these disorders.

Plate tectonics in the classification of personality disorder: shifting to a dimensional model.

The diagnostic categories of the American Psychiatric Associations Diagnostic and Statistical Manual of Mental Disorders were developed in the spirit of a traditional medical model that considers mental disorders to be qualitatively distinct conditions (see, e.g., American Psychiatric Association, 2000). Work is now beginning on the fifth edition of this influential diagnostic manual. It is perhaps time to consider a fundamental shift in how psychopathology is conceptualized and diagnosed. More specifically, it may be time to consider a shift to a dimensional classification of personality disorder that would help address the failures of the existing diagnostic categories as well as contribute to an integration of the psychiatric diagnostic manual with psychologys research on general personality structure.

BORDERLINE PERSONALITY DISORDER AND SUBSTANCE USE DISORDERS: A REVIEW AND INTEGRATION

The empirical literature on the comorbidity between borderline personality disorder (BPD) and substance use disorders (SUDs) is reviewed. BPD-SUD comorbidity data obtained from studies published from 1987 to 1997 document the frequent co-occurrence of these diagnoses. Methodological issues and theoretical models for understanding this co-occurrence are discussed. Finally, we present our conceptualization of the relations and interactions of the major factors influencing the development of BPD and contributing to the comorbidity between BPD and SUDs.

Revised NESARC Personality Disorder Diagnoses: Gender, Prevalence, and Comorbidity with Substance Dependence Disorders

We applied different diagnostic rules for diagnosing personality disorders to the NESARC epidemiological study of over 40,000 individuals. Specifically, unlike previous NESARC publications, we required that each personality disorder criterion be associated with significant distress or impairment in order to be counted toward a personality disorder (PD) diagnosis. Results demonstrated significant reductions in prevalence rates for PDs (9.1% versus 21.5% using original NESARC algorithms), and these revised prevalence rates were much more consistent with recent epidemiological studies in the U.S. and Great Britain. We also found gender differences in the prevalence rate for most PDs. Comorbidity analyses revealed strong associations between PDs and alcohol dependence, drug dependence, and tobacco dependence. PD diagnoses were also associated with scores on dysfunction and impairment, perceived stress and less social support, lifetime history of suicide attempts, interpersonal difficulties, and problems with legal authorities.

Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment.

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was used to characterize and quantify a dynamic process--affective instability in borderline personality disorder (BPD). Sixty outpatients (34 with BPD and affective instability; 26 with current depressive disorder but not with BPD or affective instability) carried electronic diaries for approximately 1 month and were randomly prompted to rate their mood state up to 6 times a day. Results indicated that BPD patients (a) did not report significantly different mean levels of positive or negative affect; (b) displayed significantly more variability over time in their positive and negative affect scores; (c) demonstrated significantly more instability on successive scores (i.e., large changes) for hostility, fear, and sadness than did patients with depressive disorders; and (d) were more likely to report extreme changes across successive occasions (>or=90th percentile of change scores across participants) for hostility scores. Results illustrate different analytic approaches to quantifying variability and instability of affect based on intensive longitudinal data. Further, results suggest the promise of electronic diaries for collecting data from individuals in their natural environment for purposes of clinical research and assessment.

Borderline Personality Disorder Features in Nonclinical Young Adults: 1. Identification and Validation.

Two studies were conducted that sought to (a) establish and validate a self-report method of identifying nonclinical young adults who present with significant borderline personality disorder (BPD) features and (b) evaluate the clinical correlates of this classification across a number of relevant areas of functioning. Specifically, the Personality Assessment Inventory Borderline Features Scale (PAI-BOR; Morey, 1991) was used to screen and select nonclinical participants whose scores indicated the presence of significant BPD features (B + group) and participants whose scores indicated the relative absence of BPD features (B − group). B+ and B− participants were compared across a range of domains that are believed to be related to BPD in clinical samples (e.g., depression, personality traits, coping, Axis I disorders, interpersonal problems). Results supported the validity of this method of classification based on PAI-BOR scores and documented the level of dysfunction exhibited by the B+ participants

Analysis of Affective Instability in Ecological Momentary Assessment: Indices Using Successive Difference and Group Comparison via Multilevel Modeling

Temporal instability of affect is a defining characteristic of psychological disorders such as borderline personality disorder (BPD) and mood cycling disorders. Ecological momentary assessment (EMA) enables researchers to directly assess such frequent and extreme fluctuations over time. The authors examined 4 operationalizations of such temporal instability: the within-person variance (WPV), the first-order autocorrelation, the mean square successive difference (MSSD), and the probability of acute change (PAC). It is argued that the MSSD and PAC measures are preferred indices of affective instability because they capture both variability and temporal dependency in a time series. Additionally, the performance of these 2 measures in capturing within- and between-day instability is discussed. To illustrate, the authors present EMA data from a study of negative mood in BPD and major depressive disorder patients. In this study, MSSD and PAC captured affective instability better than did WPV. Given that MSSD and PAC are individual difference measures, the authors propose that group differences on these indices be explored using generalized multilevel models. Versions of MSSD and PAC that adjust for randomly elapsed time interval between assessments are also presented.

Ecological Momentary Assessment of Mood Disorders and Mood Dysregulation.

In this review, we discuss ecological momentary assessment (EMA) studies on mood disorders and mood dysregulation, illustrating 6 major benefits of the EMA approach to clinical assessment: (a) Real-time assessments increase accuracy and minimize retrospective bias; (b) repeated assessments can reveal dynamic processes; (c) multimodal assessments can integrate psychological, physiological, and behavioral data; (d) setting- or context-specific relationships of symptoms or behaviors can be identified; (e) interactive feedback can be provided in real time; and (f) assessments in real-life situations enhance generalizability. In the context of mood disorders and mood dysregulation, we demonstrate that EMA can address specific research questions better than laboratory or questionnaire studies. However, before clinicians and researchers can fully realize these benefits, sets of standardized e-diary questionnaires and time sampling protocols must be developed that are reliable, valid, and sensitive to change.

Structural relations between borderline personality disorder features and putative etiological correlates.

This study assessed the structural relations between borderline personality disorder (BPD) features and purported etiological correlates. Approximately 5,000 18-year-old nonclinical young adults were screened for BPD features, and 2 cohorts of participants (total N = 421; approximately one half of whom endorsed significant borderline features) completed the laboratory phase of the study. Measures included self-report and interview-based assessments of BPD psychopathology, personality, psychopathology in biological parents, and childhood physical and sexual abuse. Significant relations between BPD features and purported etiological correlates of BPD were found. A multivariate model that included parental psychopathology, childhood abuse, and personality factors provided an adequate fit to the data and supported the contention that the personality traits disinhibition and negative affectivity underlie BPD features.

Using Experience Sampling Methods/Ecological Momentary Assessment (ESM/EMA) in Clinical Assessment and Clinical Research: Introduction to the Special Section

This article introduces the special section on experience sampling methods and ecological momentary assessment in clinical assessment. We review the conceptual basis for experience sampling methods (ESM; Csikszentmihalyi & Larson, 1987) and ecological momentary assessment (EMA; Stone & Shiffman, 1994). Next, we highlight several advantageous features of ESM/EMA as applied to psychological assessment and clinical research. We provide a brief overview of the articles in this special section, each of which focuses on 1 of the following major classes of psychological disorders: mood disorders and mood dysregulation (Ebner-Priemer & Trull, 2009), anxiety disorders (Alpers, 2009), substance use disorders (Shiffman, 2009), and psychosis (Oorschot, Kwapil, Delespaul, & Myin-Germeys, 2009). Finally, we discuss prospects, future challenges, and limitations of ESM/EMA.