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纵向网络结构与全国法医精神病患者临床风险和保护因素的变化。

Longitudinal Network Structure and Changes of Clinical Risk and Protective Factors in a Nationwide Sample of Forensic Psychiatric Patients.

机构信息

Tilburg University, the Netherlands.

Fivoor Science and Treatment Innovation (FARID), Rotterdam, the Netherlands.

出版信息

Int J Offender Ther Comp Criminol. 2020 Nov;64(15):1533-1550. doi: 10.1177/0306624X20923256. Epub 2020 May 29.

Abstract

In this study, we investigated network configurations of 14 Clinical risk and protective factors in a sample of 317 male forensic psychiatric patients across two time points: at the time of admission to the forensic psychiatric centers (T1) and at the time of unconditional release (T2). In terms of network structure, the strongest risk edge was between "hostility-violation of terms" at T1, and between "hostility-impulsivity" at T2. "Problem insight-crime responsibility" was the strongest protective edge, and "impulsivity-coping skills" was the strongest between-cluster edge, at both time points, respectively. In terms of strength centrality, "cooperation with treatment" had the highest strength centrality at both measurement occasions. This study expands the risk assessment field toward a better understanding of dynamic relationships between individual clinical risk and protective factors and points to the highly central risk and protective factors, which would be the best for future treatment targets.

摘要

在这项研究中,我们调查了 317 名男性法医精神病患者样本中 14 个临床风险和保护因素的网络结构,分别在两个时间点:进入法医精神病中心时(T1)和无条件释放时(T2)。就网络结构而言,在 T1 时最强的风险边缘是“敌意-违反条件”,而在 T2 时是“敌意-冲动”。“问题洞察力-犯罪责任”是最强的保护边缘,在两个时间点上,“冲动-应对技能”分别是最强的聚类间边缘。在强度中心性方面,“与治疗合作”在两个测量场合的强度中心性都最高。本研究将风险评估领域扩展到更好地理解个体临床风险和保护因素之间的动态关系,并指出高度集中的风险和保护因素将是未来治疗的最佳目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d365/7495686/af748da9ad11/10.1177_0306624X20923256-fig1.jpg

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