Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA, 02138, USA.
Psychological Sciences Research Institute & Institute of Neuroscience, Université Catholique de Louvain, Place du Cardinal Mercier, 10, 1348, Louvain-la-Neuve, Belgium.
J Behav Ther Exp Psychiatry. 2019 Jun;63:21-27. doi: 10.1016/j.jbtep.2018.12.005. Epub 2018 Dec 19.
Rumination is strongly associated with risk, maintenance, and worsening of depressive and related symptoms, and it predicts poor treatment response and relapse. More work is needed to clarify the nature and malleability of rumination. We propose reexamining trait rumination as a system of interacting components ("nodes").
A regularized partial correlation network was first computed to estimate the functional relations among items from the Ruminative Responses Scale (RRS) (N = 403). We then tested whether items constitute multiple distinguishable sub-networks or communities, and if so, if particular items function as "bridges" connecting them.
RRS items were not interchangeable, with network components varying widely in their centrality. We identified three communities of nodes and the nodes bridging these communities.
Data were derived from a heterogeneous community sample and include items from a single measure. Thus, results should not be interpreted as definitive, but instead as hypothesis-generating and highlighting the utility of rethinking the conceptualization and measurement of rumination.
Of the larger set of cognitive patterns forming the rumination construct, the high centrality nodes were largely passive and self-critical processes. Community detection analyses identified a sub-network largely comprising items from the RRS that have traditionally been labeled reflective pondering and adaptive; however, strong bridge nodes were also from this community. This implies that in isolation or at low levels such processes may not be problematic, but that their persistence or intensification could be associated with the activation of more maladaptive processes.
反刍与抑郁和相关症状的风险、维持和恶化密切相关，它还可以预测治疗反应不良和复发。需要进一步研究来澄清反刍的本质和可改变性。我们建议重新审视特质反刍作为一个相互作用的组成部分（“节点”）系统。
首先计算正则化部分相关网络，以估计反刍反应量表（RRS）项目之间的功能关系（N=403）。然后，我们测试项目是否构成多个可区分的子网络或社区，如果是，特定项目是否作为连接它们的“桥梁”起作用。
RRS 项目不可互换，网络组成部分的中心性差异很大。我们确定了三个节点社区以及连接这些社区的节点。
数据来自于一个异质的社区样本，并且包括来自单一测量的项目。因此，结果不应被解释为定论，而应作为产生假设的依据，并突出重新思考反刍的概念化和测量的实用性。
在形成反刍结构的更大认知模式集中，高中心性节点主要是被动和自我批判的过程。社区检测分析确定了一个主要由 RRS 项目组成的子网络，这些项目传统上被标记为反思性思考和适应性思考；然而，这个社区也有很强的桥梁节点。这意味着，在孤立或低水平的情况下，这些过程可能不会有问题，但它们的持续或加剧可能与更适应不良的过程的激活有关。
