Empirically determined severity levels for binge-eating disorder outperform existing severity classification schemes.
| Author | |
|---|---|
| Abstract | :
Eating-disorder severity indicators should theoretically index symptom intensity, impairment, and level of needed treatment. Two severity indicators for binge-eating disorder (BED) have been proposed (categories of binge-eating frequency and shape/weight overvaluation) but have mixed empirical support including modest clinical utility. This project uses structural equation model (SEM) trees - a form of exploratory data mining - to empirically determine the precise levels of binge-eating frequency and/or shape/weight overvaluation that most significantly differentiate BED severities. |
| Year of Publication | :
2020
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| Journal | :
Psychological medicine
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| Number of Pages | :
1-11
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| Date Published | :
2020
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| ISSN Number | :
0033-2917
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| URL | :
https://www.cambridge.org/core/product/identifier/S0033291720002287/type/journal_article
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| DOI | :
10.1017/S0033291720002287
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| Short Title | :
Psychol Med
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