Department of Psychological Sciences, Texas Tech University , Lubbock , TX , USA.
Anxiety Stress Coping. 2019 Nov;32(6):654-669. doi: 10.1080/10615806.2019.1641799. Epub 2019 Jul 11.
Using a network analysis (NA) approach, the current study examined the relations among different facets of Distress Tolerance (DT). The NA approach quantifies and displays relations among variables in a visual network consisting of nodes (symptoms) and edges (partial correlations between symptoms).
An exploratory NA approach evaluated how manifestations of DT uniquely and systematically relate to one another.
Undergraduate students ( = 288) completed 10 commonly used measures of DT including cognitive, behavioral, and self-report measures.
Results indicated all relations in the network were positive apart from social sensitivity and suppression. Further, individual DT facets did not form distinct community structures (nodes that cluster together and thus have stronger relations with each other than other nodes in the network).
The lack of community structures suggests that DT is a general ability to tolerate distress that is comprised of many different facets rather than the idea that DT is hierarchical and comprised of distinct domains; a current debate within the literature. The self-reported ability to tolerate life demands and tasks was the most influential facet in the overall network suggesting the Frustration Discomfort Scale may be the best global measure of DT.
本研究采用网络分析（NA）方法，考察了不同方面的痛苦耐受力（DT）之间的关系。NA 方法通过一个由节点（症状）和边（症状之间的部分相关）组成的可视化网络，对变量之间的关系进行量化和显示。
采用探索性 NA 方法评估 DT 的表现如何独特且系统地相互关联。
本研究纳入了 288 名本科生，他们完成了 10 项常用的 DT 测量，包括认知、行为和自我报告测量。
结果表明，网络中的所有关系均为正相关，除了社交敏感度和抑制。此外，个体 DT 方面并没有形成明显的社区结构（节点聚类，因此与网络中其他节点的关系比其他节点更强）。
缺乏社区结构表明，DT 是一种普遍的耐受力，它由许多不同的方面组成，而不是 DT 是分层的，由不同的领域组成的观点；这是当前文献中的一个争论。报告的耐受生活需求和任务的能力是整个网络中最具影响力的方面，这表明挫折不适量表可能是 DT 的最佳全面测量工具。
