Neuropsychiatric Research Institute,Fargo, North Dakota,USA.
Department of Preventive Medicine,University of Southern California,Los Angeles, California,USA.
Psychol Med. 2019 Jan;49(2):314-324. doi: 10.1017/S0033291718000867. Epub 2018 Apr 15.
Network analysis is an emerging approach in the study of psychopathology, yet few applications have been seen in eating disorders (EDs). Furthermore, little research exists regarding changes in network strength after interventions. Therefore the present study examined the network structures of ED and co-occurring depression and anxiety symptoms before and after treatment for EDs.
Participants from residential or partial hospital ED treatment programs (N = 446) completed assessments upon admission and discharge. Networks were estimated using regularized Graphical Gaussian Models using 38 items from the Eating Disorders Examination-Questionnaire, Quick Inventory of Depressive Symptomatology, and State-Trait Anxiety Inventory.
ED symptoms with high centrality indices included a desire to lose weight, guilt about eating, shape overvaluation, and wanting an empty stomach, while restlessness, self-esteem, lack of energy, and feeling overwhelmed bridged ED to depression and anxiety symptoms. Comparisons between admission and discharge networks indicated the global network strength did not change significantly, though symptom severity decreased. Participants with denser networks at admission evidenced less change in ED symptomatology during treatment.
Findings suggest that symptoms related to shape and weight concerns and guilt are central ED symptoms, while physical symptoms, self-esteem, and feeling overwhelmed are links that may underlie comorbidities in EDs. Results provided some support for the validity of network approaches, in that admission networks conveyed prognostic information. However, the lack of correspondence between symptom reduction and change in network strength indicates that future research is needed to examine network dynamics in the context of intervention and relapse prevention.
网络分析是精神病理学研究中的一种新兴方法,但在饮食失调(ED)中很少见应用。此外,关于干预后网络强度变化的研究很少。因此,本研究在 ED 治疗前后检查了 ED 以及并发的抑郁和焦虑症状的网络结构。
来自住院或部分医院 ED 治疗计划的参与者(N=446)在入院和出院时完成了评估。使用来自 Eating Disorders Examination-Questionnaire、Quick Inventory of Depressive Symptomatology 和 State-Trait Anxiety Inventory 的 38 个项目,使用正则化图形高斯模型估计网络。
具有高中心性指数的 ED 症状包括减肥的愿望、对进食的内疚感、体型过度重视和想要空腹,而不安、自尊心、缺乏能量和不知所措则将 ED 与抑郁和焦虑症状联系起来。入院和出院网络之间的比较表明,尽管症状严重程度下降,但全球网络强度并未显著变化。入院时网络密度较高的参与者在治疗期间 ED 症状的变化较小。
研究结果表明,与体型和体重问题以及内疚感相关的症状是 ED 的核心症状,而身体症状、自尊心和不知所措则是可能导致 ED 共病的联系。研究结果为网络方法的有效性提供了一些支持,即入院网络提供了预后信息。然而,症状减轻与网络强度变化之间缺乏对应关系表明,需要进一步研究以在干预和预防复发的背景下检查网络动态。