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在接受住院治疗的自杀未遂者样本中,自杀症状与重复自杀行为之间的关联。

Association between suicidal symptoms and repeat suicidal behaviour within a sample of hospital-treated suicide attempters.

作者信息

de Beurs Derek P, van Borkulo Claudia D, O'Connor Rory C

机构信息

, PhD, Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands.

, PhD, Department of Psychology, Psychological Methods Group, University of Amsterdam, The Netherlands.

出版信息

BJPsych Open. 2017 May 4;3(3):120-126. doi: 10.1192/bjpo.bp.116.004275. eCollection 2017 May.

Abstract

BACKGROUND

Suicidal behaviour is the end result of the complex relation between many factors which are biological, psychological and environmental in nature. Network analysis is a novel method that may help us better understand the complex association between different factors.

AIMS

To examine the relationship between suicidal symptoms as assessed by the Beck Scale for Suicide Ideation and future suicidal behaviour in patients admitted to hospital following a suicide attempt, using network analysis.

METHOD

Secondary analysis was conducted on previously collected data from a sample of 366 patients who were admitted to a Scottish hospital following a suicide attempt. Network models were estimated to visualise and test the association between baseline symptom network structure and suicidal behaviour at 15-month follow-up.

RESULTS

Network analysis showed that the desire for an active attempt was found to be the most central, strongly related suicide symptom. Of the 19 suicide symptoms that were assessed at baseline, 10 symptoms were directly related to repeat suicidal behaviour. When comparing baseline network structure of repeaters (=94) with the network of non-repeaters (=272), no significant differences were found.

CONCLUSIONS

Network analysis can help us better understand suicidal behaviour by visualising the complex relation between relevant symptoms and by indicating which symptoms are most central within the network. These insights have theoretical implications as well as informing the assessment and treatment of suicidal behaviour.

DECLARATION OF INTEREST

None.

COPYRIGHT AND USAGE

© The Royal College of Psychiatrists 2017. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license.

摘要

背景

自杀行为是多种生物、心理和环境因素之间复杂关系的最终结果。网络分析是一种新方法,可能有助于我们更好地理解不同因素之间的复杂关联。

目的

使用网络分析方法,研究因自杀未遂入院的患者中,贝克自杀意念量表评估的自杀症状与未来自杀行为之间的关系。

方法

对先前收集的366例因自杀未遂入住苏格兰一家医院的患者样本数据进行二次分析。估计网络模型以可视化并测试基线症状网络结构与15个月随访时自杀行为之间的关联。

结果

网络分析表明,主动自杀企图的欲望是最核心、与自杀密切相关的症状。在基线评估的19种自杀症状中,有10种症状与重复自杀行为直接相关。比较重复自杀者(=94)与非重复自杀者(=272)的基线网络结构,未发现显著差异。

结论

网络分析有助于我们通过可视化相关症状之间的复杂关系以及指出网络中哪些症状最为核心,从而更好地理解自杀行为。这些见解具有理论意义,也为自杀行为的评估和治疗提供了参考。

利益声明

无。

版权与使用

©皇家精神病学院2017年。本文是一篇开放获取文章,根据知识共享非商业性、无衍生作品(CC BY-NC-ND)许可协议分发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d10f/5415676/6bf57a97f0f4/bjporcpsych004275-g001.jpg

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