Browse
Submit Data
Databases
API
Help

Dataset Information

22 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Can clinicians recognize DSM-IV personality disorders from five-factor model descriptions of patient cases?

ABSTRACT:

Objective

This article examined, using theories from cognitive science, the clinical utility of the Five-Factor Model (FFM) of Personality, an assessment and classification system under consideration for integration into the forthcoming fifth edition of the Diagnostic and Statistical Manual (DSM) of Mental Disorders. Specifically, the authors sought to test whether FFM descriptors are specific enough to allow practicing clinicians to capture core features of personality disorders.

Method

In two studies, a large nationwide sample of clinical psychologists, psychiatrists, and clinical social workers (N=187 and N=191) were presented case profiles based on symptom formats from either the DSM-IV and/or FFM. Ratings for six aspects of clinical utility for DSM-IV and FFM profiles were obtained and participants provided DSM-IV diagnoses. Prototypic cases (only one personality disorder) and comorbid cases were tested in separate studies.

Results

Participants rated the DSM-IV as more clinically useful than the FFM on five out of six clinical utility questions. Despite demonstrating considerable background knowledge of DSM-IV diagnoses, participants had difficulty identifying correct diagnoses from FFM profiles.

Conclusion

The FFM descriptors may be more ambiguous than the criteria of the DSM-IV and the FFM may therefore be less able to convey important clinical details than the DSM-IV. The findings flag challenges to clinical utility for dimensional-trait systems such as the FFM.

SUBMITTER: Rottman BM

PROVIDER: S-EPMC2834175 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

DSM-IV personality disorders in the WHO World Mental Health Surveys.

Project description:BackgroundLittle is known about the cross-national population prevalence or correlates of personality disorders.AimsTo estimate prevalence and correlates of DSM-IV personality disorder clusters in the World Health Organization World Mental Health (WMH) Surveys.MethodInternational Personality Disorder Examination (IPDE) screening questions in 13 countries (n = 21 162) were calibrated to masked IPDE clinical diagnoses. Prevalence and correlates were estimated using multiple imputation.ResultsPrevalence estimates are 6.1% (s.e. = 0.3) for any personality disorder and 3.6% (s.e. = 0.3), 1.5% (s.e. = 0.1) and 2.7% (s.e. = 0.2) for Clusters A, B and C respectively. Personality disorders are significantly elevated among males, the previously married (Cluster C), unemployed (Cluster C), the young (Clusters A and B) and the poorly educated. Personality disorders are highly comorbid with Axis I disorders. Impairments associated with personality disorders are only partially explained by comorbidity.ConclusionsPersonality disorders are relatively common disorders that often co-occur with Axis I disorders and are associated with significant role impairments beyond those due to comorbidity.

| S-EPMC2705873 | biostudies-literature

The relationship of DSM-IV personality disorders to nicotine dependence-results from a national survey.

Project description:This study examined the prevalence of nicotine dependence (ND) and its associations with DSM-IV personality disorders (PDs) among current smokers (n=7078), controlling for sociodemographic characteristics and comorbid Axis I and II disorders. Data were derived from a nationally representative sample of the U.S. population. Although all PDs were significantly associated with ND when sociodemographic factors were controlled, only schizotypal, borderline, narcissistic and obsessive-compulsive PDs were associated with ND after adding controls for Axis I and other Axis II disorders. These associations remained significant after controlling for degree of smoking exposure. The results suggest that both shared and PD-specific pathogenetic factors underlie these PD-ND associations. Implications are also discussed in terms of the relationship between personality features of schizotypal, borderline, narcissistic and obsessive-compulsive PDs and the self-medication hypothesis and the role of neurotransmission.

| S-EPMC2836161 | biostudies-literature

DSM-IV personality disorders and associations with externalizing and internalizing disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Project description:Although associations between personality disorders and psychiatric disorders are well established in general population studies, their association with liability dimensions for externalizing and internalizing disorders has not been fully assessed. The purpose of this study is to examine associations between personality disorders (PDs) and lifetime externalizing and internalizing Axis I disorders.Data were obtained from the total sample of 34,653 respondents from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Drawing on the literature, a 3-factor exploratory structural equation model was selected to simultaneously assess the measurement relations among DSM-IV Axis I substance use and mood and anxiety disorders and the structural relations between the latent internalizing-externalizing dimensions and DSM-IV PDs, adjusting for gender, age, race/ethnicity, and marital status.Antisocial, histrionic, and borderline PDs were strong predictors for the externalizing factor, while schizotypal, borderline, avoidant, and obsessive-compulsive PDs had significantly larger effects on the internalizing fear factor when compared to the internalizing misery factor. Paranoid, schizoid, narcissistic, and dependent PDs provided limited discrimination between and among the three factors. An overarching latent factor representing general personality dysfunction was significantly greater on the internalizing fear factor followed by the externalizing factor, and weakest for the internalizing misery factor.Personality disorders offer important opportunities for studies on the externalizing-internalizing spectrum of common psychiatric disorders. Future studies based on panic, anxiety, and depressive symptoms may elucidate PD associations with the internalizing spectrum of disorders.

| S-EPMC3881358 | biostudies-literature

Ten aspects of the Big Five in the Personality Inventory for DSM-5.

Project description:Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) includes a dimensional model of personality pathology, operationalized in the Personality Inventory for DSM-5 (PID-5), with 25 facets grouped into 5 higher order factors resembling the Big Five personality dimensions. The present study tested how well these 25 facets could be integrated with the 10-factor structure of traits within the Big Five that is operationalized by the Big Five Aspect Scales (BFAS). In 2 healthy adult samples, 10-factor solutions largely confirmed our hypothesis that each of the 10 BFAS would be the highest loading BFAS on 1 and only 1 factor. Varying numbers of PID-5 scales were additional markers of each factor, and the overall factor structure in the first sample was well replicated in the second. Our results allow Cybernetic Big Five Theory (CB5T) to be brought to bear on manifestations of personality disorder, because CB5T offers mechanistic explanations of the 10 factors measured by the BFAS. Future research, therefore, may begin to test hypotheses derived from CB5T regarding the mechanisms that are dysfunctional in specific personality disorders.

| S-EPMC4818974 | biostudies-literature

Inter-Rater Reliability of the Structured Interview of DSM-IV Personality (SIDP-IV) in an Adolescent Outpatient Population.

Project description:Personality disorders (PDs) are a class of mental disorders which are associated with subjective distress, decreased quality of life and broad functional impairment. The presence of one or several PDs may also complicate the course and treatment of symptom disorders such as anxiety and depression. Accurate and reliable means of diagnosing personality disorders are thus crucial to ensuring efficient treatment planning and resource allocation, a fact which is widely acknowledged within the adult mental health field. In adolescents, on the other hand, the consensus view has been that the rapid and discontinuous processes of normal personality development render the construct of PD in adolescents clinically unhelpful and conceptually dubious. However, recent research has established the reliability and validity of the construct, heralding an increased interest in the field, with important conceptual and clinical implications. The present article presents reliability data for the Structured Interview of DSM-IV Personality (SIDP-IV) in an adolescent outpatient population. For this study, 25 interviews conducted by experienced clinicians were blindly re-scored based on sound recordings, which allowed for the calculation of intra-class correlation metrics. The intra-class correlation coefficient for categorical diagnosis of specific personality disorders was found to be 0.876 (95% CI 0.718-0.945); Cohen's kappa for presence/absence of personality diagnosis was found to be 0.896. The present study found excellent intra-rater reliability for the sample, which suggests that the SIDP-IV is a suitable instrument for assessing personality pathology in adolescent populations.

| S-EPMC9566621 | biostudies-literature

The Bidirectional Associations Between Psychotic Experiences and DSM-IV Mental Disorders.

Project description:While it is now recognized that psychotic experiences are associated with an increased risk of later mental disorders, we lack a detailed understanding of the reciprocal time-lagged relationships between first onsets of psychotic experiences and mental disorders. Using data from World Health Organization World Mental Health (WMH) Surveys, the authors assessed the bidirectional temporal associations between psychotic experiences and mental disorders.The WMH Surveys assessed lifetime prevalence and age at onset of psychotic experiences and 21 common DSM-IV mental disorders among 31,261 adult respondents from 18 countries. Discrete-time survival models were used to examine bivariate and multivariate associations between psychotic experiences and mental disorders.Temporally primary psychotic experiences were significantly associated with subsequent first onset of eight of the 21 mental disorders (major depressive disorder, bipolar disorder, generalized anxiety disorder, social phobia, posttraumatic stress disorder, adult separation anxiety disorder, bulimia nervosa, and alcohol abuse), with odds ratios ranging from 1.3 (95% CI=1.2-1.5) for major depressive disorder to 2.0 (95% CI=1.5-2.6) for bipolar disorder. In contrast, 18 of 21 primary mental disorders were significantly associated with subsequent first onset of psychotic experiences, with odds ratios ranging from 1.5 (95% CI=1.0-2.1) for childhood separation anxiety disorder to 2.8 (95% CI=1.0-7.8) for anorexia nervosa.While temporally primary psychotic experiences are associated with an elevated risk of several subsequent mental disorders, these data show that most mental disorders are associated with an elevated risk of subsequent psychotic experiences. Further investigation of the underlying factors accounting for these time-order relationships may shed light on the etiology of psychotic experiences.

| S-EPMC5175400 | biostudies-literature

Comparative performance of the AUDIT-C in screening for DSM-IV and DSM-5 alcohol use disorders.

Project description:OBJECTIVE:Under the proposed DSM-5 revision to the criteria for alcohol use disorder (AUD), a substantial proportion of DSM-IV AUD cases will be lost or shifted in terms of severity, with some new cases added. Accordingly, the performance of the AUDIT-C in screening for DSM-IV AUD cannot be assumed to extend to DSM-5 AUD. The objective of this paper is to compare the AUDIT-C in screening for DSM-IV and DSM-5 AUD. METHODS:Using a broad range of performance metrics, the AUDIT-C was tested and contrasted as a screener for DSM-IV AUD (any AUD, abuse and dependence) and DSM-5 AUD (any AUD, moderate AUD and severe AUD) in a representative sample of U.S. adults aged 21 and older and among past-year drinkers. RESULTS:Optimal AUDIT-C cutpoints were identical for DSM-IV and DSM-5 AUD: ?4 for any AUD, ?3 or ?4 for abuse/moderate AUD and ?4 or ?5 for dependence/severe AUD. Screening performance was slightly better for DSM-5 severe AUD than DSM-IV dependence but did not differ for other diagnoses. At optimal screening cutpoints, positive predictive values were slightly higher for DSM-5 overall AUD and moderate AUD than for their DSM-IV counterparts. Sensitivities were slightly higher for DSM-5 severe AUD than DSM-IV dependence. Optimal screening cutpoints shifted upwards for past-year drinkers but continued to be identical for DSM-IV and DSM-5 disorders. CONCLUSIONS:Clinicians should not face any major overhaul of their current screening procedures as a result of the DSM-5 revision and should benefit from fewer false positive screening results.

| S-EPMC3469743 | biostudies-literature

Structure of genetic and environmental risk factors for symptoms of DSM-IV borderline personality disorder.

Project description:Previous studies have indicated that the psychopathological dimensions of borderline personality disorder (BPD) are influenced by a unitary liability factor. However, to our knowledge, the underlying etiological nature of the individual criteria for BPD as defined by the DSM-IV has not been explored.To determine the structure of genetic and environmental risk factors for the symptoms of BPD.Multivariate twin study with BPD criteria assessed by personal interview within a general community setting. Participants included 2794 young adults from the Norwegian Institute of Public Health Twin Panel.The 9 criteria for BPD assessed by the Structured Interview for DSM-IV Personality.A common pathway model dominated by 1 highly heritable (55%) general BPD factor that strongly influenced all 9 BPD criteria (standardized path coefficients, 0.53-0.79) fit the data best. The model also included 2 additional common liability factors, mainly influencing criteria reflecting the affective and interpersonal dimensions. Both of these were mostly influenced by environmental liability factors (heritability, 29.3% and 2.2%). With 1 exception (criterion 2, unstable and intense relationships), the specific criteria were strongly influenced by environmental factors. Five of the 9 criterion-specific genetic effects were either 0 or negligible.These results indicate that most of the genetic effects on the individual BPD criteria derive from 1 highly heritable general BPD factor, whereas the environmental influences were mostly criterion specific.

| S-EPMC3927987 | biostudies-literature

Genetic and Environmental Structure of DSM-IV Criteria for Antisocial Personality Disorder: A Twin Study.

Project description:Results from previous studies on DSM-IV and DSM-5 Antisocial Personality Disorder (ASPD) have suggested that the construct is etiologically multidimensional. To our knowledge, however, the structure of genetic and environmental influences in ASPD has not been examined using an appropriate range of biometric models and diagnostic interviews. The 7 ASPD criteria (section A) were assessed in a population-based sample of 2794 Norwegian twins by a structured interview for DSM-IV personality disorders. Exploratory analyses were conducted at the phenotypic level. Multivariate biometric models, including both independent and common pathways, were compared. A single phenotypic factor was found, and the best-fitting biometric model was a single-factor common pathway model, with common-factor heritability of 51% (95% CI 40-67%). In other words, both genetic and environmental correlations between the ASPD criteria could be accounted for by a single common latent variable. The findings support the validity of ASPD as a unidimensional diagnostic construct.

| S-EPMC5404958 | biostudies-literature

Improving characterization of psychopathy within the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), alternative model for personality disorders: Creation and validation of Personality Inventory for DSM-5 Triarchic scales.

Project description:The latest edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) bridges a significant gap in psychiatric nosology by providing trait-based characterizations of psychopathy along with antisocial personality disorder within the Section III alternative model for personality disorders (AMPD). However, the representation of psychopathy in the AMPD has met with some criticisms (Crego & Widiger, 2014; Few, Lynam, Maples, MacKillop, & Miller, 2015). The current study was undertaken to establish an improved means for characterizing psychopathy in DSM-5 Section III terms, by creating scale measures of triarchic psychopathy dimensions using items from the best-established assessment instrument for the AMPD, the Personality Inventory for DSM-5 (PID-5). Using data from a sample of community adults (N = 210), we employed a construct rating and psychometric refinement approach to develop item-based PID-5 Triarchic scales for measuring psychopathy dimensions of boldness, meanness, and disinhibition. The validity of the PID-5 Triarchic scales was then evaluated in relation to criteria including other scale measures of the triarchic constructs and psychopathy, self-reported antisocial behavior and substance use, empathy, internalizing and other clinical problems, and personality within the development sample and a separate independent sample of adults (N = 240) recruited to have elevated psychopathic traits. Results of this work provide a foundation for improved characterization of psychopathy in terms of the AMPD trait system and provide a mechanism for future research oriented toward clarifying the developmental interface between childhood conduct disorder and psychopathy, as well as identifying neurobiological correlates of dimensions of psychopathy. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

| S-EPMC6817378 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data