Gérain Pierre, Wawrziczny Emilie, Antoine Pascal
SCALab UMR 9193, University of Lille, Lille, France.
Aging Ment Health. 2023 Sep-Oct;27(9):1780-1789. doi: 10.1080/13607863.2022.2134294. Epub 2022 Oct 25.
: Theoretical models in informal dementia care have been developed to understand how risk and protective factors interact to cause caregiver's distress. The development of psychological network analysis provides a rich complement to our current models, as explores how different variables (or nodes) are associated using graph theories. : The present study explored the use of network analysis using data from 125 informal caregivers of their partner with dementia (PwD). The included variables were recipient's dependency, self-efficacy, conflict within the family, dyadic adjustment, and caregiver's distress. : The analysis suggests a complex network of interacting variables. The core variable was not the caregiver's distress but rather their dyadic adjustment with their PwD. Variables were associated with caregiver distress through a large array of direct and indirect pathways and were associated with each other in the form of an asymmetric spider's web.: The results show the complex interplay of variables in a psychological network. The central role of distress suggests a complex and dynamic role, notably through a bidirectional influence with quality of interactions. In the same way, quality of interactions appeared as one of the strongest nodes, its connectivity suggesting a crucial role to consider in our models and interventions.
已开发出非正式痴呆症护理的理论模型,以了解风险因素和保护因素如何相互作用导致照顾者的困扰。心理网络分析的发展为我们当前的模型提供了丰富的补充,因为它利用图论探索不同变量(或节点)是如何关联的。本研究利用125名痴呆症患者伴侣的非正式照顾者的数据,探索了网络分析的应用。纳入的变量包括受照顾者的依赖程度、自我效能感、家庭内部冲突、二元适应以及照顾者的困扰。分析表明存在一个相互作用变量的复杂网络。核心变量不是照顾者的困扰,而是他们与痴呆症患者的二元适应。变量通过大量直接和间接途径与照顾者的困扰相关联,并以不对称蜘蛛网的形式相互关联。结果显示了心理网络中变量的复杂相互作用。困扰的核心作用表明其具有复杂和动态的作用,特别是通过与互动质量的双向影响。同样,互动质量似乎是最强的节点之一,其连通性表明在我们的模型和干预措施中应考虑其关键作用。