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Cluster analysis of key diagnostic variables from two independent samples of eating-disorder patients: evidence for a consistent pattern.

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Title: Cluster analysis of key diagnostic variables from two independent samples of eating-disorder patients: evidence for a consistent pattern.
Authors: Clinton D (AUTHOR), Button E (AUTHOR), Norring C (AUTHOR), Palmer R (AUTHOR)
Source: Psychological Medicine. Aug2004, Vol. 34 Issue 6, p1035-1045. 11p.
Abstract: INTRODUCTION: The optimal classification of eating disorders has been a matter of considerable debate. The present paper tackles this issue using cluster analysis with large independent samples of eating-disorder patients. METHOD: Two samples of adult female patients from Sweden (n = 631) and England (n = 472) were classified on the basis of 10 key clinical variables of primary significance for diagnosing eating disorders. A separate series of cluster analyses were conducted on each sample. RESULTS: Results suggested that a three-cluster solution was optimal in both samples. The first cluster ('generalized eating disorder') was characterized by high levels of eating-disorder psychopathology on all variables except weight and menstrual functioning. The second cluster ('anorexics') was typified by low weight, amenorrhoea and the absence of binge eating, and seemed to correspond to the clinical picture of anorexia nervosa. The third cluster ('overeaters') was characterized by high weight and moderate levels of binge eating and compensatory behaviour. CONCLUSIONS: Results suggest that patients presenting to eating-disorder services in different countries have clinical features that fall into very similar patterns. These patterns resemble, but are not identical to, existing diagnostic categories. [ABSTRACT FROM AUTHOR]
Copyright of Psychological Medicine is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Cluster analysis of key diagnostic variables from two independent samples of eating-disorder patients: evidence for a consistent pattern.
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  Data: <searchLink fieldCode="AR" term="%22Clinton+D%22">Clinton D</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Button+E%22">Button E</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Norring+C%22">Norring C</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Palmer+R%22">Palmer R</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychological+Medicine%22">Psychological Medicine</searchLink>. Aug2004, Vol. 34 Issue 6, p1035-1045. 11p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: INTRODUCTION: The optimal classification of eating disorders has been a matter of considerable debate. The present paper tackles this issue using cluster analysis with large independent samples of eating-disorder patients. METHOD: Two samples of adult female patients from Sweden (n = 631) and England (n = 472) were classified on the basis of 10 key clinical variables of primary significance for diagnosing eating disorders. A separate series of cluster analyses were conducted on each sample. RESULTS: Results suggested that a three-cluster solution was optimal in both samples. The first cluster ('generalized eating disorder') was characterized by high levels of eating-disorder psychopathology on all variables except weight and menstrual functioning. The second cluster ('anorexics') was typified by low weight, amenorrhoea and the absence of binge eating, and seemed to correspond to the clinical picture of anorexia nervosa. The third cluster ('overeaters') was characterized by high weight and moderate levels of binge eating and compensatory behaviour. CONCLUSIONS: Results suggest that patients presenting to eating-disorder services in different countries have clinical features that fall into very similar patterns. These patterns resemble, but are not identical to, existing diagnostic categories. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychological Medicine is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1017/s0033291703001508
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        Text: English
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              Text: Aug2004
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