Severity of bulimia nervosa. Measurement and classification into health or pathology.
OBJECTIVE
In order to identify the most important components of the severity of bulimia nervosa (as well as identifying clinical cases), we explored the relation between dimensional and categorical assessment. This was achieved by studying the performance of variables from standard instruments (measuring specific and general psychopathology) in predicting an expert rating of overall syndrome severity.


METHODS
In total, 213 cases were selected (across the whole range of severity). We applied regression with optimal scaling to model nonlinear relations in the data, and the lasso method with bootstrapping for predictor selection. The best model contained 2 scales of the Eating Disorders Inventory ('bulimia' and 'drive for thinness') and the frequency of the binges. The sensitivity and specificity of case classification using the obtained model was determined.


RESULTS
The model can predict the probability of being a clinical case at a rate of 88%. The presented statistical methods are innovative and promising approaches that can help researchers and clinicians to better define sets of variables for treatment evaluation and outcome studies.


CONCLUSIONS
The results indicate that severity and outcome in bulimia nervosa should be determined by measuring both cognitive and behavioral aspects of the symptoms.
Hartmann
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A
Department of Psychosomatic Medicine and Psychotherapy, University of Freiburg, Freiburg, Germany.
Zeeck
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A
van der Kooij
A J
AJ
D000293:Adolescent; D000328:Adult; D052018:Bulimia Nervosa / Q000145:classification / Q000175:diagnosis / Q000523:psychology; D003937:Diagnosis, Differential; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires; D055815:Young Adult