Parental Burnout - Network Analysis

Background: The use of network analyses in psychology has increasingly gained traction in the last few years. A network perspective views psychological constructs as dynamic systems of interacting elements.
Objective: We present the first study to apply network analyses to examine how the hallmark features of parental burnout — i.e., exhaustion related to the parental role, emotional distancing from children, and a sense of ineffectiveness in the parental role — interact with one another and with maladaptive behaviors related to the partner and the child(ren), when these variables are conceptualized as a network system.
Participants and setting: In a preregistered fashion, we reanalyzed the data from a French-speaking sample (n = 1551; previously published in Mikolajczak, Brianda, Avalosse, & Roskam, 2018), focusing on seven specific variables: the three hallmark parental burnout features, partner conflict, partner estrangement, neglectful behavior toward children, and violent behavior toward children.
Methods: We computed two types of network models, a graphical Gaussian model to examine network structure, potential communities, and influential nodes, and a directed acyclic graph to examine the probabilistic dependencies among the different variables.
Results: Both network models pointed to emotional distance as an especially potent mechanism in activating all other nodes.
Conclusions: These results suggest emotional distance as critical to the maintenance of the parental burnout network and a prime candidate for future interventions, while affirming that network analysis can successfully expose the structure and relationship of variables related to parental burnout and its consequences related to the partner and the child(ren).

背景：在过去的几年中，网络分析在心理学领域的应用逐渐受到重视。从网络视角来看，心理结构被视为相互作用的动态元素系统。目标：本研究首次将网络分析应用于探讨父母倦怠的标志性特征——即与父母角色相关的疲惫感、与子女的情感疏离以及父母角色中的无能感——如何相互作用，以及当这些变量被视为网络系统时，它们与伴侣及子女相关的适应性不良行为之间的相互作用。参与者与设置：我们以预先注册的方式，重新分析了来自法语样本（n = 1551；参见 Mikolajczak, Brianda, Avalosse, & Roskam, 2018 年发表的研究）的数据，重点关注七个特定变量：三个父母倦怠标志性特征、伴侣冲突、伴侣疏远、对子女的忽视行为以及对子女的暴力行为。方法：我们计算了两种类型的网络模型，一种是图示高斯模型，用于检验网络结构、潜在社区和影响节点，另一种是有向无环图，用于检验不同变量之间的概率依赖关系。结果：两种网络模型均指向情感疏离作为激活所有其他节点的一种特别有效的机制。结论：这些结果表明，情感疏离对于维持父母倦怠网络至关重要，并是未来干预的主要候选因素，同时证实了网络分析能够成功地揭示与父母倦怠及其后果相关的变量结构和关系。