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Eating disorder diagnoses - Empirical approaches to classification

机译：饮食失调诊断-分类的经验方法

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摘要

Decisions about the classification of eating disorders have significant scientific and clinical implications. The eating disorder diagnoses in the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) reflect the collective wisdom of experts in the field but are frequently not supported in empirical studies and do not capture the disorders of eating experienced by most people with an eating disorder. Statistical approaches to classification such as latent class analysis and taxometrics can help to create a classification system with greater scientific validity and clinical utility. The field would benefit from direct empirical comparisons of different classification schemes with various clinical and scientific validators. Such studies would enable the creators of the next DSM eating disorder classification to increase understanding of the advantages and disadvantages associated with choosing various diagnostic criteria sets for the eating disorders.
机译：关于进食障碍分类的决定具有重大的科学和临床意义。 《精神障碍诊断和统计手册》（第4版; DSM-IV;美国精神病学协会，1994年）中的饮食失调诊断反映了该领域专家的集体智慧，但经验研究常常不支持该观点，也没有抓住这一点。大多数饮食失调的人都会经历饮食失调。诸如潜在类别分析和分类法之类的统计分类方法可以帮助创建具有更高科学有效性和临床实用性的分类系统。该领域将受益于不同分类方案与各种临床和科学验证者的直接经验比较。这种研究将使下一个DSM饮食失调分类的创建者能够增加对与选择饮食失调的各种诊断标准集相关的利弊的了解。

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