Department of Psychology, University of Detroit Mercy, Detroit, Michigan, USA.
Department of Psychiatry and Behavioral Science, University of Kansas School of Medicine, Wichita, Kansas, USA.
Personal Ment Health. 2022 Aug;16(3):163-179. doi: 10.1002/pmh.1530. Epub 2021 Oct 5.
This study utilizes the two different criteria of the DSM-5 Alternative Model of Personality Disorder Assessment to evaluate the relationship between attachment style and personality pathology. One-hundred forty patients from a combined sample of psychiatric and internal medicine clinics were given a survey composed of the DSM-5 Levels of Personality Functioning Questionnaire (DLOPFQ), the Personality Inventory for DSM-5-Brief Form (PID-5-BF), and the Relationship Questionnaire (RQ). Analysis of variance indicated that attachment styles were differentiated across all four the DLOPFQ scales and the Detachment trait domain. Elastic net regression modeling with bootstrap was used to assess the strength of the level of personality functioning dimensions and trait domains in the prediction of attachment style, both independently and interactively while accounting for multicollinearity. This study offers readers insight to a novel statistical approach to model building that addresses two issues among psychiatric data: high correlation and small sample size.
本研究利用 DSM-5 人格障碍评估替代模型的两个不同标准,评估依恋风格与人格病理学之间的关系。从精神病学和内科诊所的组合样本中招募了 140 名患者,他们接受了由 DSM-5 人格功能水平问卷(DLOPFQ)、DSM-5 简明人格量表(PID-5-BF)和关系问卷(RQ)组成的调查。方差分析表明,依恋风格在 DLOPFQ 的所有四个量表和分离特质领域中都有所不同。弹性网络回归建模与引导用于评估人格功能维度和特质领域的水平在依恋风格预测中的强度,同时考虑到多重共线性,无论是独立还是交互作用。本研究为读者提供了一种新颖的统计建模方法的见解,该方法解决了精神病学数据中的两个问题:高相关性和小样本量。