Convergent and discriminant validity of DSM-IV axis II personality disorder criteria in adult outpatients with binge eating disorder

2000 ◽  
Vol 41 (3) ◽  
pp. 163-166 ◽  
Author(s):  
Carlos M. Grilo ◽  
Thomas H. McGlashan
2003 ◽  
Vol 33 (7) ◽  
pp. 1311-1317 ◽  
Author(s):  
P. VAN HANSWIJCK DE JONGE ◽  
E. F. VAN FURTH ◽  
J. HUBERT LACEY ◽  
G. WALLER

Background. There are numerous reports of personality disorder pathology in different eating disorders. However, few studies have directly compared personality pathology in bulimia nervosa, binge eating disorder and obesity. The present study examines group differences in DSM-IV personality pathology, considering the potential utility of understanding personality disorders in terms of diagnosis and dimensional scores.Method. Eating disorder diagnoses were established using the Eating Disorder Examination interview. Thirty-five bulimia nervosa patients, 15 binge eating disorder patients and 37 obese patients were assessed and compared on the International Personality Disorder Examination using categorical and dimensional personality disorder scores.Results. For most personality disorders, there was a dichotomy of binge eaters versus non-binge eaters. In contrast, there was a continuum of severity in borderline personality disorder pathology between the groups. The dimensional system of measurement of personality pathology allowed for clearer differentiation between the groups.Conclusion. The study strongly indicates that personality disorder difficulties are present in patients who binge eat, while obese patients who do not binge eat display significantly less personality disorder pathology. Assessment of bulimia nervosa, binge eating disorder and obesity needs to address personality disorders and pathology. Dimensional markers of personality pathology can be used to supplement categorical diagnoses, providing information about the traits that underlie diagnosis.


Author(s):  
Robert L. Spitzer ◽  
Michael J. Devlin ◽  
B. Timothy Walsh ◽  
Deborah Hasin ◽  
Rena Wing ◽  
...  

2021 ◽  
Author(s):  
Victoria N. Mutiso ◽  
Prof. David M. Ndetei ◽  
Esther N. Muia ◽  
Rita K. Alietsi ◽  
Lydia Onsinyo ◽  
...  

Abstract Background: Changing lifestyles in Kenya can lead to eating related behaviors and problems. The more severe problems are likely to manifest in clinical settings, but the majority and less severe forms will remain unrecognized. There is therefore the need to take a public health awareness approach to identify cases at community level and initiate appropriate intervention. This requires characterization of Eating Disorders (ED) and its associations in the local context. Our focus will be on the more common Binge Eating Disorder (BED). The overarching objective of this study is to generate Kenyan data on BED and fill a gap that exists not only in Kenya but Africa in general. The specific aims are: (1) To document the patterns and prevalence of different symptoms of BED in a student population whose age range represents a significant proportion of the population. (2) To determine associated psychiatric and substance use disorders (3) To determine independent predictors of BED. Method: We administered to a total of 9742 participants following tools: A researcher designed socio-demographic and economic indicators questionnaire; an instrument on DSM-IV diagnosis of BED and its various symptoms; instruments to determine DSM-IV psychiatric disorders, substance abuse, affectivity, psychosis and stress indicators. The participants were high school, college and university students in four out of the 47 counties in Kenya. We used descriptive and inferential analysis to determine prevalence and association of the different variables. The independent predictors of BED were generated from the generalized linear model (p<0.05). Results: We found a prevalence of 3.2% of BED and a wide range of BED symptoms varying from 8.1% to 19.0%. There were significant (p<0.05) associations between BED with various socio-demographic variables and psychiatric and substance use disorders. However, only some of these disorders were independent predictors of BED. Conclusion: Our findings on prevalence of BED and significant associations with various psychiatric disorders and substance use disorders are similar to those obtained in HICs using similar large scale samples in non-clinical populations. Economic status is not a predictor of BED. Our findings suggest a public health approach to awareness and management.


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