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边缘型人格障碍作为药物使用多样性的预测因素:认知与情感机制

Borderline Personality Disorder as a Predictor of Drug Use Variety: Cognitive Vs. Affective Mechanisms.

作者信息

Wojciechowski Thomas

机构信息

School of Criminal Justice, Michigan State University, East Lansing, MI, USA.

出版信息

J Psychoactive Drugs. 2022 Nov-Dec;54(5):452-461. doi: 10.1080/02791072.2021.2009067. Epub 2021 Dec 3.

Abstract

Borderline personality disorder has been identified as a risk factor for polydrug use. Despite this, there remains a lack of understanding of which characteristics of the disorder provide the mechanisms for this relationship. This study examined a set of constructs as mechanisms explaining the borderline personality disorder-polydrug use relationship that are divided into affective and cognitive categories. The Pathways to Desistance data were used in analyses. Generalized structural equation modeling was used to examine the direct relationship between borderline personality disorder and test for attenuation of this direct effect. A bootstrap resampling process was used to estimate standard errors utilized to specify specific and total indirect effects of mechanism variables and their significance level. Results indicated that greater symptom severity of borderline personality disorder predicted increased drug use variety. This relationship was attenuated by 70% when hypothesized mechanisms were included and became nonsignificant. It appeared that this attenuation was mainly due to sensation-seeking. Findings indicate that interventions for individuals suffering from borderline personality disorder with polydrug use issues may find utility in structuring programming around mitigating sensation-seeking.

摘要

边缘型人格障碍已被确定为多药滥用的一个风险因素。尽管如此,对于该障碍的哪些特征构成了这种关系的机制,人们仍然缺乏了解。本研究考察了一组作为解释边缘型人格障碍与多药滥用关系机制的构念,这些构念分为情感和认知两类。分析中使用了“停止之路”数据。采用广义结构方程模型来检验边缘型人格障碍与多药滥用之间的直接关系,并检验这种直接效应的减弱情况。使用自助重抽样过程来估计标准误差,以确定机制变量的特定间接效应和总间接效应及其显著性水平。结果表明,边缘型人格障碍症状严重程度越高,预测的药物使用种类就越多。当纳入假设的机制时,这种关系减弱了70%,并变得不显著。这种减弱似乎主要是由于寻求刺激。研究结果表明,针对患有边缘型人格障碍且有多药滥用问题的个体的干预措施,可能会在围绕减轻寻求刺激来构建方案方面找到实用价值。

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