Jin Min Jin, Lee Hye-Jin, Hwang Kyu-Sic, Lee Jae-Hee, Yang Chan-Mo, Jang Seung-Ho, Lee Sang-Yeol
Faculty of Liberal Arts, Kongju National University, Gongju, Republic of Korea.
Department of Public Health, Wonkwang University Graduate School, Iksan, Republic of Korea.
Psychiatry Investig. 2021 Dec;18(12):1164-1170. doi: 10.30773/pi.2021.0164. Epub 2021 Dec 8.
This study aims to understand borderline personality disorder (BPD) features by employing the Personality Psychopathology Five (PSY-5) scales from the Minnesota Multiphasic Personality Inventory-2 (MMPI-2).
A total of 156 psychiatric patients completed PSY-5 scales of MMPI-2 and Personality Assessment Inventory-Borderline Subscale (PAI-BOR). Pearson's partial correlation analysis was conducted to control the impact of age and gender and to determine the relationship between PSY-5 scales and BOR. A hierarchical multiple regression analysis was implemented to examine whether PSY-5 scales predicted the BOR-total, and a path analysis was performed to determine whether PSY-5 scales predicted each PAI-BOR subscale.
The BOR-total score had a significant correlation with all PSY-5 scores, even after controlling for age and gender. However, only aggressiveness (AGGR), disconstraint (DISC), negative emotionality/neuroticism (NEGE), and introversion/low positive emotionality (INTR), excluding psychoticism (PSYC), significantly predicted BOR-total. The path analysis indicates that PSYC did not predict any BOR subscale, while NEGE predicted all BOR subscales.
The study findings indicate that NEGE best reflects BPD features, while PSYC is far from the core domain that describes BPD. In addition, the influence of age should be considered when understanding BPD, since age predicted the BOR-total and two BOR subscales.
本研究旨在通过使用明尼苏达多相人格问卷第二版(MMPI-2)中的人格心理病理学五因素(PSY-5)量表来了解边缘型人格障碍(BPD)的特征。
共有156名精神科患者完成了MMPI-2的PSY-5量表和人格评估量表边缘性子量表(PAI-BOR)。进行了Pearson偏相关分析以控制年龄和性别的影响,并确定PSY-5量表与PAI-BOR之间的关系。实施了分层多元回归分析以检验PSY-5量表是否能预测PAI-BOR总分,并进行了路径分析以确定PSY-5量表是否能预测每个PAI-BOR子量表。
即使在控制了年龄和性别之后,PAI-BOR总分与所有PSY-5得分仍具有显著相关性。然而,仅攻击性(AGGR)、放纵性(DISC)、负性情绪/神经质(NEGE)和内向性/低正性情绪(INTR)(不包括精神质(PSYC))能显著预测PAI-BOR总分。路径分析表明,PSYC不能预测任何PAI-BOR子量表,而NEGE能预测所有PAI-BOR子量表。
研究结果表明,NEGE最能反映BPD特征,而PSYC与描述BPD的核心领域相差甚远。此外,在理解BPD时应考虑年龄的影响,因为年龄能预测PAI-BOR总分和两个PAI-BOR子量表。