Short-Interval Test-Retest Interrater Reliability of the Dutch Version of the Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II)

2003 ◽  
Vol 17 (6) ◽  
pp. 562-567 ◽  
Author(s):  
Anoek Weertman ◽  
Arnoud ArntZ ◽  
Laura Dreessen ◽  
Carol van Velzen ◽  
Stefaan Vertommen
Keyword(s):  
Personality Disorders ◽  
Interrater Reliability ◽  
Short Interval ◽  
Clinical Interview ◽  
Dutch Version ◽  
Dsm Iv

The interrater reliability of a Dutch version of the Structured Clinical Interview for DSM-III-R Personality Disorders

1992 ◽  
Vol 85 (5) ◽  
pp. 394-400 ◽  
Author(s):  
A. Arntz ◽  
B. Beijsterveldt ◽  
R. Hoekstra ◽  
A. Hofman ◽  
M. Eussen ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Interrater Reliability ◽  
Clinical Interview ◽  
Dutch Version

Interrater Reliability and Internal Consistency of the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II), Version 2.0

1997 ◽  
Vol 11 (3) ◽  
pp. 279-284 ◽  
Author(s):  
Cesare Maffei ◽  
Andrea Fossati ◽  
Ilaria Agostoni ◽  
Alessandra Barraco ◽  
Maria Bagnato ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Internal Consistency ◽  
Interrater Reliability ◽  
Clinical Interview ◽  
Axis Ii ◽  
Version 2.0 ◽  
Dsm Iv

scholarly journals Interrater Reliability of the Structured Clinical Interview for the DSM–5 Alternative Model of Personality Disorders Module i: Level of Personality Functioning Scale

2018 ◽  
Vol 100 (6) ◽  
pp. 630-641 ◽  
Author(s):  
Tore Buer Christensen ◽  
Muirne C. S. Paap ◽  
Marianne Arnesen ◽  
Karoline Koritzinsky ◽  
Tor-Erik Nysaeter ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Alternative Model ◽  
Interrater Reliability ◽  
Clinical Interview ◽  
Personality Functioning ◽  
Dsm 5

scholarly journals DoDSM-5Eating Disorder Criteria Overpathologize Normative Eating Patterns among Individuals with Obesity?

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Jennifer J. Thomas ◽  
Katherine A. Koh ◽  
Kamryn T. Eddy ◽  
Andrea S. Hartmann ◽  
Helen B. Murray ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Bulimia Nervosa ◽  
Binge Eating ◽  
Binge Eating Disorder ◽  
Interrater Reliability ◽  
Clinical Interview ◽  
Point Prevalence ◽  
Eating Patterns ◽  
Dsm 5 ◽  
Dsm Iv

Background.DSM-5revisions have been criticized in the popular press for overpathologizing normative eating patterns—particularly among individuals with obesity. To evaluate the evidence for this and otherDSM-5critiques, we compared the point prevalence and interrater reliability ofDSM-IVversusDSM-5eating disorders (EDs) among adults seeking weight-loss treatment.Method.Clinicians (n=2) assignedDSM-IVandDSM-5ED diagnoses to 100 participants via routine clinical interview. Research assessors (n=3) independently conferred ED diagnoses via Structured Clinical Interview forDSM-IVand aDSM-5checklist.Results. Research assessors diagnosed a similar proportion of participants with EDs underDSM-IV(29%) versusDSM-5(32%).DSM-5research diagnoses included binge eating disorder (9%), bulimia nervosa (2%), subthreshold binge eating disorder (5%), subthreshold bulimia nervosa (2%), purging disorder (1%), night eating syndrome (6%), and other (7%). Interrater reliability between clinicians and research assessors was “substantial” for bothDSM-IV(κ= 0.64, 84% agreement) andDSM-5(κ= 0.63, 83% agreement).Conclusion.DSM-5ED criteria can be reliably applied in an obesity treatment setting and appear to yield an overall ED point prevalence comparable toDSM-IV.

scholarly journals The prevalence, age distribution and comorbidity of personality disorders in Australian women

2016 ◽  
Vol 51 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Shae E Quirk ◽  
Michael Berk ◽  
Julie A Pasco ◽  
Sharon L Brennan-Olsen ◽  
Andrew M Chanen ◽  
...  
Keyword(s):  
Personality Disorder ◽  
Personality Disorders ◽  
Psychiatric Disorders ◽  
Odds Ratio ◽  
Substance Misuse ◽  
Age Distribution ◽  
Clinical Interview ◽  
Obsessive Compulsive ◽  
Individual Personality ◽  
Dsm Iv

Objective: We aimed to describe the prevalence and age distribution of personality disorders and their comorbidity with other psychiatric disorders in an age-stratified sample of Australian women aged ⩾25 years. Methods: Individual personality disorders (paranoid, schizoid, schizotypal, histrionic, narcissistic, borderline, antisocial, avoidant, dependent, obsessive-compulsive), lifetime mood, anxiety, eating and substance misuse disorders were diagnosed utilising validated semi-structured clinical interviews (Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition and Structured Clinical Interview for DSM-IV Axis II Personality Disorders). The prevalence of personality disorders and Clusters were determined from the study population ( n = 768), and standardised to the Australian population using the 2011 Australian Bureau of Statistics census data. Prevalence by age and the association with mood, anxiety, eating and substance misuse disorders was also examined. Results: The overall prevalence of personality disorders in women was 21.8% (95% confidence interval [CI]: 18.7, 24.9). Cluster C personality disorders (17.5%, 95% CI: 16.0, 18.9) were more common than Cluster A (5.3%, 95% CI: 3.5, 7.0) and Cluster B personality disorders (3.2%, 95% CI: 1.8, 4.6). Of the individual personality disorders, obsessive-compulsive (10.3%, 95% CI: 8.0, 12.6), avoidant (9.3%, 95% CI: 7.1, 11.5), paranoid (3.9%, 95% CI: 3.1, 4.7) and borderline (2.7%, 95% CI: 1.4, 4.0) were among the most prevalent. The prevalence of other personality disorders was low (⩽1.7%). Being younger (25–34 years) was predictive of having any personality disorder (odds ratio: 2.36, 95% CI: 1.18, 4.74), as was being middle-aged (odds ratio: 2.41, 95% CI: 1.23, 4.72). Among the strongest predictors of having any personality disorder was having a lifetime history of psychiatric disorders (odds ratio: 4.29, 95% CI: 2.90, 6.33). Mood and anxiety disorders were the most common comorbid lifetime psychiatric disorders. Conclusions: Approximately one in five women was identified with a personality disorder, emphasising that personality disorders are relatively common in the population. A more thorough understanding of the distribution of personality disorders and psychiatric comorbidity in the general population is crucial to assist allocation of health care resources to individuals living with these disorders.

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