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Personality disorders and the prediction of alcohol use outcomes for women: Dimensional versus categorical classification.

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Title: Personality disorders and the prediction of alcohol use outcomes for women: Dimensional versus categorical classification.
Authors: Hunter-Reel, Dorian (AUTHOR), Epstein, Elizabeth E. (AUTHOR), McCrady, Barbara (AUTHOR), Eddie, David (AUTHOR)
Source: Addiction Research & Theory. Apr2014, Vol. 22 Issue 2, p176-180. 5p.
Subjects: Alcoholism treatment, Personality disorder diagnosis, Cognitive therapy, Interviewing, Health outcome assessment, Personality disorders, Psychological tests, Regression analysis, Comorbidity, Treatment effectiveness
Abstract: The impending shift in the fifth edition of Diagnostic and Statistical Manual of Mental Disorders from categorical to a hybrid categorical-dimensional diagnosis scheme has generated considerable interest in the relative merits of these respective approaches. This is particularly true for the diagnostically complex category of personality disorders (PDs). The present study assessed whether categorical or dimensional measures better predicted alcohol consumption in a sample of 102 women enrolled in a clinical trial comparing individual cognitive behavioral therapy (CBT) to conjoint CBT for alcohol use disorders (AUDs). Linear regression was used to evaluate whether each PD diagnosis (categorical), or the number of PD symptoms endorsed per PD (dimensional) better predicted percent days drinking over the course of six months of treatment. PD criteria (dimensional) better predicted drinking for Paranoid, Borderline, and Obsessive-Compulsive PDs, while diagnosis (categorical) was a better predictor only for passive-aggressive PD. Both schemes predicted drinking outcomes for avoidant, dependent, and depressive PDs, and neither was predictive for narcissistic PD. These findings suggest that the addition of a dimensional approach for PDs potentially enhances the prediction of alcohol use outcomes. [ABSTRACT FROM AUTHOR]
Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd 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: Personality disorders and the prediction of alcohol use outcomes for women: Dimensional versus categorical classification.
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  Data: <searchLink fieldCode="JN" term="%22Addiction+Research+%26+Theory%22">Addiction Research & Theory</searchLink>. Apr2014, Vol. 22 Issue 2, p176-180. 5p.
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  Data: <searchLink fieldCode="DE" term="%22Alcoholism+treatment%22">Alcoholism treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+disorder+diagnosis%22">Personality disorder diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+therapy%22">Cognitive therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Health+outcome+assessment%22">Health outcome assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+disorders%22">Personality disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+tests%22">Psychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Comorbidity%22">Comorbidity</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+effectiveness%22">Treatment effectiveness</searchLink>
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  Data: The impending shift in the fifth edition of Diagnostic and Statistical Manual of Mental Disorders from categorical to a hybrid categorical-dimensional diagnosis scheme has generated considerable interest in the relative merits of these respective approaches. This is particularly true for the diagnostically complex category of personality disorders (PDs). The present study assessed whether categorical or dimensional measures better predicted alcohol consumption in a sample of 102 women enrolled in a clinical trial comparing individual cognitive behavioral therapy (CBT) to conjoint CBT for alcohol use disorders (AUDs). Linear regression was used to evaluate whether each PD diagnosis (categorical), or the number of PD symptoms endorsed per PD (dimensional) better predicted percent days drinking over the course of six months of treatment. PD criteria (dimensional) better predicted drinking for Paranoid, Borderline, and Obsessive-Compulsive PDs, while diagnosis (categorical) was a better predictor only for passive-aggressive PD. Both schemes predicted drinking outcomes for avoidant, dependent, and depressive PDs, and neither was predictive for narcissistic PD. These findings suggest that the addition of a dimensional approach for PDs potentially enhances the prediction of alcohol use outcomes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=94851940
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        Value: 10.3109/16066359.2013.793314
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      – SubjectFull: Treatment effectiveness
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    Titles:
      – TitleFull: Personality disorders and the prediction of alcohol use outcomes for women: Dimensional versus categorical classification.
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              Text: Apr2014
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