Neuroticism and affective instability: the same or different?

Neuroticism and affective instability: the same or different?
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DOI:
10.1176/ajp.2006.163.5.839
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发表时间:
2006-05
期刊:
The American journal of psychiatry
影响因子:
--
通讯作者:
Joshua D. Miller;P. Pilkonis
Joshua D. Miller;P. Pilkonis
中科院分区:
其他
文献类型:
--
作者:
Joshua D. Miller;P. Pilkonis

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目的 本研究的目的是检验与情感体验相关的两种结构的相关性和后果:神经质和情感不稳定。方法 132 名患者在入院时接受了 I 轴和 II 轴症状、一般人格特征和特定损伤(包括人际功能损伤)的评估。这些数据包括对结构化和半结构化访谈的回答、人际问题的自我报告以及重要他人对人际问题的报告。通过使用 LEAD(即纵向、专家、所有数据)共识方法对 I 轴和 II 轴症状以及损伤进行临床评级。 132 名患者中的 91 名在 12 个月的随访中接受了重新评估。结果神经质和情感不稳定表现出不同的并发关系,神经质与焦虑、回避风格密切相关,而情感不稳定与更外化的人格风格相关。前瞻性地,神经质预示着后来的症状、职业障碍和整体功能障碍,而情感不稳定则预示着浪漫障碍。结论 研究结果表明,神经质和情感不稳定(被认为是人格病理学的核心方面)是相关但不同的结构,具有独特的相关性和不同的预测能力。
OBJECTIVE The purpose of this study was to examine the correlates and consequences of two constructs related to affective experience: neuroticism and affective instability. METHOD One hundred thirty-two patients were assessed at intake for axis I and II symptoms, general personality traits, and specific impairments, including impairments in interpersonal functioning. The data included responses to structured and semistructured interviews, self-reports of interpersonal problems, and reports of interpersonal problems from significant others. Clinical ratings of axis I and II symptoms and of impairment were made by using the LEAD (i.e., longitudinal, expert, all data) consensus approach. Ninety-one of the 132 patients were reassessed at 12-month follow-up. RESULTS Neuroticism and affective instability manifested varied concurrent relations, with neuroticism being strongly related to an anxious, avoidant style and affective instability related to more externalizing personality styles. Prospectively, neuroticism predicted later symptoms, occupational impairment, and global dysfunction, whereas affective instability predicted romantic impairment. CONCLUSIONS The findings suggest that neuroticism and affective instability--which are considered core aspects of personality pathology--are related but distinct constructs with unique correlates and different predictive abilities.