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边缘型人格障碍的因子结构及对情绪可预测性和问题解决的系统训练的反应。

Factor structure of borderline personality disorder and response to Systems Training for Emotional Predictability and Problem Solving.

机构信息

Department of Psychiatry, The University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, Iowa, USA.

Mental Health Service Line, Veterans Affairs Health Care System, Iowa City, Iowa, USA.

出版信息

Personal Ment Health. 2022 Aug;16(3):263-275. doi: 10.1002/pmh.1538. Epub 2022 Jan 26.

Abstract

Differential response to the Systems Training for Emotional Predictability and Problem Solving (STEPPS) program was compared in subgroups identified through latent class analysis (LCA). STEPPS is an evidence-based group treatment program for patients with borderline personality disorder (BPD). A reanalysis of data was conducted using data from a 20-week randomized controlled trial and 1-year follow-up. Subjects (n = 164) with DSM-IV BPD were assessed for comorbid Axis I and II disorders and selected clinical variables. Severity was assessed using the Zanarini Rating Scale for BPD (ZAN-BPD) and the Borderline Evaluation of Severity Over Time (BEST). Three- and four-class models were identified with the four-class model having the better fit. The latter included a high severity (HS) class (26%), an affective instability/substance abuse (AISA) class (16%), an empty/dissociation/identity disturbance (EDID) class (27%), and a low severity (LS) class (30%). High impulsiveness predicted membership in the HS class. Improvement was determined using a linear mixed-effects model. Those most likely to benefit were those in the HS group characterized by high symptom severity, Axis I and II comorbidity, problem relationships, abandonment fears, and intense anger. This work should help further efforts to match patients with treatments based on sociodemographic, diagnostic, and other illness characteristics.

摘要

通过潜在类别分析(LCA),对系统训练情绪可预测性和问题解决(STEPPS)计划的差异反应进行了比较。STEPPS 是一种针对边缘型人格障碍(BPD)患者的循证团体治疗计划。使用来自 20 周随机对照试验和 1 年随访的数据对数据进行了重新分析。评估了 DSM-IV BPD 受试者(n=164)的共病轴 I 和 II 障碍和选定的临床变量。使用边缘人格障碍评定量表(ZAN-BPD)和边界评估严重程度随时间的变化(BEST)来评估严重程度。确定了三分类和四分类模型,四分类模型具有更好的拟合度。后者包括高严重度(HS)类(26%)、情感不稳定/物质滥用(AISA)类(16%)、空/解离/身份障碍(EDID)类(27%)和低严重度(LS)类(30%)。高冲动性预测了 HS 类的成员资格。使用线性混合效应模型确定了改善情况。最有可能受益的是 HS 组,其特征是症状严重、轴 I 和 II 共病、问题关系、被遗弃的恐惧和强烈的愤怒。这项工作应该有助于进一步努力根据社会人口统计学、诊断和其他疾病特征将患者与治疗方法相匹配。

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