Darrow Sabrina M, Accurso Erin C, Nauman Emily R, Goldschmidt Andrea B, Le Grange Daniel
Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Weight Control and Diabetes Research Center, Alpert Medical School of Brown University, The Miriam Hospital, Providence, RI, USA.
Eur Eat Disord Rev. 2017 Sep;25(5):389-396. doi: 10.1002/erv.2531. Epub 2017 Jul 4.
While many studies have explored the relationship between different eating disorder diagnoses and the familial social environment, current evidence does not support associations between distinct family interaction patterns (e.g. high enmeshment) and particular diagnoses (e.g. anorexia nervosa). The current study seeks to move beyond the current literature to explore whether empirically derived subtypes of family environment are associated with clinical features within a transdiagnostic sample of youth seeking treatment for eating disorders (n = 123). Latent class modelling of the Family Environment Scale identified three classes (i.e. different Family Environment Scale profiles): (1) Control-Oriented; (2) System Maintenance-Oriented; and (3) Conflict-Oriented. Data are presented to characterize the classes (e.g. age, gender, rates of different eating disorders, severity of eating disorder pathology and rates of comorbid disorders). These preliminary results suggest that family interaction types may help personalize treatment for eating disorders and encourage future research to guide such efforts. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association.
尽管许多研究探讨了不同饮食失调诊断与家庭社会环境之间的关系,但目前的证据并不支持不同的家庭互动模式(如高度情感卷入)与特定诊断(如神经性厌食症)之间存在关联。本研究旨在超越现有文献,探讨从实证得出的家庭环境亚型是否与寻求饮食失调治疗的青少年跨诊断样本(n = 123)中的临床特征相关。对家庭环境量表进行潜在类别建模,确定了三个类别(即不同的家庭环境量表概况):(1)以控制为导向;(2)以系统维持为导向;(3)以冲突为导向。文中呈现了用于描述这些类别的数据(如年龄、性别、不同饮食失调的发生率、饮食失调病理的严重程度以及共病的发生率)。这些初步结果表明,家庭互动类型可能有助于为饮食失调治疗进行个性化,并鼓励未来的研究为这类工作提供指导。版权所有© 2017约翰·威利父子有限公司和饮食失调协会。