Levinson Cheri A, Cusack Claire, Brown Mackenzie L, Smith April R
Department of Psychological & Brain Sciences, University of Louisville, Louisville, Kentucky, USA.
Department of Psychology, Auburn University, Auburn, Alabama, USA.
Nat Rev Psychol. 2022 Jul;1(7):419-430. doi: 10.1038/s44159-022-00062-y. Epub 2022 May 10.
Eating disorders are severe mental illnesses with the second highest mortality rate of all psychiatric illnesses. Eating disorders are exceedingly deadly because of their complexity. Specifically, eating disorders are highly comorbid with other psychiatric illnesses (up to 95% of individuals with an eating disorder have at least one additional psychiatric illness), have extremely heterogeneous presentations, and individuals often migrate from one specific eating disorder diagnosis to another. In this Perspective, we propose that understanding eating disorder comorbidity and heterogeneity via a network theory approach offers substantial benefits for both conceptualization and treatment. Such a conceptualization, strongly based on theory, can identify specific pathways that maintain psychiatric comorbidity, how diagnoses vary across individuals, and how specific symptoms and comorbidities maintain illness for one individual, thereby paving the way for personalized treatment.
饮食失调是严重的精神疾病，在所有精神疾病中死亡率排名第二。饮食失调因其复杂性而极其致命。具体而言，饮食失调与其他精神疾病高度共病（高达95%的饮食失调患者至少患有一种其他精神疾病），表现极为多样，而且患者常常从一种特定的饮食失调诊断转变为另一种。在这篇观点文章中，我们提出通过网络理论方法来理解饮食失调的共病性和异质性，对于概念化和治疗都有很大益处。这种基于理论的概念化能够识别维持精神疾病共病的特定途径、诊断在个体间的差异方式，以及特定症状和共病如何在个体中维持疾病状态，从而为个性化治疗铺平道路。
