边缘型人格障碍的明侧面分析。
A bright side facet analysis of borderline personality disorder.
机构信息
Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.
出版信息
Borderline Personal Disord Emot Dysregul. 2014 Jun 11;1:7. doi: 10.1186/2051-6673-1-7. eCollection 2014.
BACKGROUND
This study looks at the "bright-side" normal, personality trait correlates of the "dark-side" Borderline Personality Disorder (BPD).
METHODS
Over 5000 British adults completed the NEO-PI-R which measures the Big Five Personality factors at the Domain and the Facet level, as well as the Hogan Development Survey which has a measure of Borderline Personality Disorder (BPD) called Excitable.
RESULTS
Correlation and regression results confirmed many of the associations between these "bright" and "dark" side individual difference variables. The Excitable score from the HDS was the criterion variable in all analyses. Excitable individuals are high on Neuroticism, but also Introverted and Disagreeable. The facet analysis identified Angry Hostility, Anxiety, Depression and Vulnerability as particularly characteristic of that type.
CONCLUSIONS
The study confirmed work on BPD using different population groups and different measures, showing that it is possible to describe personality disorders in terms of extreme scores on personality traits.
背景
本研究着眼于“光明面”正常，即边缘型人格障碍（BPD）“黑暗面”的人格特质相关性。
方法
超过 5000 名英国成年人完成了 NEO-PI-R，该测试从领域和方面层面衡量了五大人格因素，以及 Hogan 发展调查，该调查中有一个称为易兴奋的边缘型人格障碍（BPD）的衡量标准。
结果
相关和回归结果证实了这些“光明”和“黑暗”个体差异变量之间的许多关联。HDS 的易兴奋分数是所有分析的标准变量。易兴奋的个体在神经质方面得分较高，但也内向和不友善。方面分析确定愤怒敌意、焦虑、抑郁和脆弱性是该类型的特别特征。
结论
该研究使用不同的人群和不同的测量方法证实了 BPD 的工作，表明可以根据人格特质的极端分数来描述人格障碍。
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