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压力级联:一种探索不同精神病风险人群差异动力学的网络方法。

The Cascade of Stress: A Network Approach to Explore Differential Dynamics in Populations Varying in Risk for Psychosis.

机构信息

Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.

Department of Neurosciences, Center for Contextual Psychiatry (CCP), KU Leuven, Leuven, Belgium.

出版信息

Schizophr Bull. 2018 Feb 15;44(2):328-337. doi: 10.1093/schbul/sbx037.

Abstract

Stress plays a central role in the development and persistence of psychosis. Network analysis may help to reveal mechanisms at the level of the micro-dynamic effects between stress, other daily experiences and symptomatology. This is the first study to examine time-lagged networks of the relations between minor daily stress, momentary affect/thoughts, psychotic experiences, and other potentially relevant daily life contexts in individuals varying in risk for psychosis. Intensive longitudinal data were obtained through 6 studies. The combined sample consisted of 654 individuals varying in risk for psychosis: healthy control subjects (n = 244), first-degree relatives of psychotic patients (n = 165), and psychotic patients (n = 245). Using multilevel models combined with permutation testing, group-specific time-lagged network connections between daily experiences were compared between groups. Specifically, the role of stress was examined. Risk for psychosis was related to a higher number of significant network connections. In all populations, stress had a central position in the network and showed direct and significant connections with subsequent psychotic experiences. Furthermore, the higher the risk for psychosis, the more variables "loss of control" and "suspicious" were susceptible to influences by other network nodes. These findings support the idea that minor daily stress may play an important role in inducing a cascade of effects that may lead to psychotic experiences.

摘要

压力在精神分裂症的发展和持续中起着核心作用。网络分析可能有助于揭示压力、其他日常经历和症状之间微观动态效应水平上的机制。这是第一项研究,旨在检查处于精神分裂症风险中的个体之间,轻度日常压力、瞬间情绪/想法、精神病体验和其他潜在相关日常生活环境之间的关系的时滞网络。通过 6 项研究获得了密集的纵向数据。综合样本包括 654 名处于不同精神分裂症风险中的个体:健康对照组(n = 244)、精神分裂症患者的一级亲属(n = 165)和精神分裂症患者(n = 245)。使用多级模型结合置换检验,比较了不同组之间日常经验之间的特定于组的时滞网络连接。具体来说,检查了压力的作用。精神分裂症风险与更多显著的网络连接有关。在所有人群中,压力在网络中处于核心地位,并且与随后的精神病体验直接且显著相关。此外,精神分裂症风险越高,变量“失去控制”和“可疑”越容易受到其他网络节点的影响。这些发现支持了这样一种观点,即轻度日常压力可能在引发可能导致精神病体验的一系列效应中起着重要作用。

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