背景:虽然边缘性人格障碍(BPD)症状的异质性表达是众所周知的,还远远没有完全理解。已经提出了结合诊断BPD的维度和分类方法的混合模型来更好地处理这种异质性,但是需要更多的研究。这项研究的目的是确定BPD中的潜在簇,并评估这些聚类在诊断组成上是否不同,严重程度,精神症状,情绪调节和控制,或社会人口统计特征。
方法:集群基于瑞典大学人格量表(SSP)在141名诊断为BPD的精神病患者中测量的人格特质。采用Ward\'s方法进行层次聚类分析。我们使用单向方差分析来探索不同的聚类属性。使用部分eta平方计算效应大小。
结果:我们发现了三个不同的簇:较低的精神病理学簇(N=67),外部化集群(N=28),和内化簇(N=46)。聚类在性状组成上有所不同,严重程度,情绪调节和控制。
结论:我们的研究结果支持用于诊断BPD的混合模型,表明集群在严重程度(较低和较高的精神病理学)和人格特征/风格(内在化和外在化)方面存在差异。人格特质的评估可能是区分聚类的可行方法。在未来,这些知识可用于个性化治疗。
BACKGROUND: Though the heterogeneous expression of symptoms of borderline personality disorder (BPD) is well-known, it is far from fully understood. Hybrid models combining dimensional and categorical ways of diagnosing BPD have been suggested to better handle this heterogeneity, but more research is needed. The aim of this study was to identify potential clusters in BPD, and evaluate if these clusters differed in diagnostic composition, severity, psychiatric symptoms, emotion regulation and control, or sociodemographic features.
METHODS: Clusters were based on personality traits measured with the Swedish universities Scales of Personality (SSP) in 141 psychiatric patients diagnosed with BPD. Hierarchical cluster analysis was performed using Ward\'s method. We used one-way analysis of variance to explore the different clusters\' properties. Effect sizes were calculated using partial eta squared.
RESULTS: We found three distinct clusters: the lower psychopathology cluster (N = 67), the externalizing cluster (N = 28), and the internalizing cluster (N = 46). The clusters differed regarding trait composition, severity, and emotion regulation and control.
CONCLUSIONS: Our findings support hybrid models for diagnosing BPD by showing that clusters differed in terms of both severity (lower and higher psychopathology) and personality traits/style (internalizing and externalizing). Assessment of personality traits may be a feasible way to differentiate between clusters. In the future, this knowledge might be used to personalize treatment.