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识别边缘型人格障碍特征维度模型中的核心缺陷:一项网络分析。

Identifying core deficits in a dimensional model of Borderline Personality Disorder features: A network analysis.

作者信息

Southward Matthew W, Cheavens Jennifer S

机构信息

Department of Psychology, The Ohio State University, Columbus, OH, USA.

出版信息

Clin Psychol Sci. 2018 Sep;6(5):685-703. doi: 10.1177/2167702618769560. Epub 2018 May 18.

Abstract

Researchers have proposed three core deficits of Borderline Personality Disorder (BPD): emotion dysregulation, interpersonal problems, and self-identity disturbance. Previous methods for testing these deficits rest on problematic assumptions (e.g., the assumption that observable/measured features of BPD, such as chaotic relationships and affective intensity, occur independently). A network model of psychopathology assumes that observable features of disorders directly interact, and network analytic methods quantify how central each feature is. We conducted a network analysis of core deficits of BPD features using a large ( = 4386) sample of participants with a range of BPD features. The most central features of participants in the High BPD group were loneliness, recklessness/impulsivity, and intense moods, supporting models of emotion dysregulation and interpersonal problems. The networks of BPD features did not differ between men and women. We provide directions for future research to enhance our understanding of how networks of BPD features change over time.

摘要

研究人员提出了边缘型人格障碍(BPD)的三个核心缺陷:情绪调节障碍、人际关系问题和自我认同障碍。以往测试这些缺陷的方法基于有问题的假设(例如,假设BPD的可观察/可测量特征,如混乱的人际关系和情感强度,是独立出现的)。精神病理学的网络模型假设疾病的可观察特征直接相互作用,网络分析方法量化每个特征的核心程度。我们使用一个包含一系列BPD特征的大型样本(n = 4386)参与者对BPD特征的核心缺陷进行了网络分析。高BPD组参与者最核心的特征是孤独、鲁莽/冲动和强烈情绪,这支持了情绪调节障碍和人际关系问题的模型。BPD特征网络在男性和女性之间没有差异。我们为未来的研究提供了方向,以增进我们对BPD特征网络如何随时间变化的理解。

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