Network analysis of persistent complex bereavement disorder in conjugally bereaved adults.

Network analysis of persistent complex bereavement disorder in conjugally bereaved adults.
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DOI:
10.1037/abn0000002
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发表时间:
2014-08
影响因子:
4.6
通讯作者:
McNally, Richard J.
McNally, Richard J.
中科院分区:
心理学1区
文献类型:
--
作者:
Robinaugh, Donald J.;LeBlanc, Nicole J.;Vuletich, Heidi A.;McNally, Richard J.

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持续性复杂性丧亲障碍(PCBD)是一种丧亲特异性综合征,其特征是长期和损害性悲伤。大多数关于这种综合征的研究都依赖于传统的潜变量模型,即症状反映了一个潜在的实体。网络(或因果系统)方法为理解多氯联苯生物多样性提供了一个替代框架,该框架不受潜在实体方法固有的局限性的影响。精神病理学的网络方法将症状和障碍之间的关系概念化为部分的,而不是反射的。也就是说,症状并不反映一个推断的,不可观察的类别或维度,而是本身构成的障碍。因此,我们认为,多氯联苯构成了一个因果系统的相互加强的症状出现后,亲人的死亡,并解决到一个病理平衡。在这项研究中,我们使用来自老年夫妇生活变化(CLOC)数据库的数据来识别PCBD的核心症状,将PCBD网络与重叠但不同的抑郁症状网络区分开来,并研究先前确定的风险因素如何有助于PCBD的维持或发展。总之,这些发现为理解PCBD网络的性质和病因迈出了重要的第一步。
Persistent complex bereavement disorder (PCBD) is a bereavement-specific syndrome characterized by prolonged and impairing grief. Most research on this syndrome rests on the traditional latent variable model whereby symptoms reflect an underlying entity. The network (or causal system) approach offers an alternative framework for understanding PCBD that does not suffer from limitations inherent in the latent entity approach. The network approach to psychopathology conceptualizes the relation between symptoms and disorder as mereological, not reflective. That is, symptoms do not reflect an inferred, unobservable category or dimension, but rather are themselves constitutive of the disorder. Accordingly, we propose that PCBD constitutes a causal system of mutually reinforcing symptoms that arise following the death of a loved one and settle into a pathological equilibrium. In this study, we used data from the Changing Lives of Older Couples (CLOC) database to identify symptoms central to PCBD, distinguish the PCBD network from an overlapping but distinct network of depression symptoms, and examine how previously identified risk factors may contribute to the maintenance or development of PCBD. Together, these findings provide an important first step toward understanding the nature and etiology of the PCBD network.
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