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通过网络分析探索蓄意自我中毒的复杂性

Exploring Complexity of Deliberate Self-Poisoning through Network Analysis.

作者信息

Kalankesh Leila R, Farahbakhsh Mostafa, Fein Rebecca A, Moftian Nazila, Nasiry Zahra

机构信息

Tabriz Health Services Management Research Center, Tabriz, Iran; School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

Tabriz Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

Psychiatry J. 2017;2017:3619721. doi: 10.1155/2017/3619721. Epub 2017 Jan 29.

Abstract

The purpose of this research was to examine the complexity of circumstances that result in deliberate self-poisoning cases. For the purposes of this paper, the cases were patients that presented for care and were admitted to the specialty hospital in Northwest of Iran. The research examined the problems preceding deliberate self-poisoning and the interrelations among them by applying network analysis methods. The network was scored for degrees of centrality and betweenness centrality. Structural analysis of network also was conducted using block modelling. The results showed that family conflicts had the highest score for degree of centrality among women, while the highest score for degree of centrality among men belonged to those dealing with drug addiction. Analysis for degree of betweenness centrality revealed that drug addiction had the highest score among men, whereas the highest score for women on betweenness centrality was related to physical illness. Structural analysis of the network showed differences in role that various problems played in intentional self-poisoning. The findings from this research can be used by public health authorities to create prevention programs that address the problems leading to deliberate self-poisoning.

摘要

本研究的目的是探讨导致蓄意自我中毒病例的复杂情况。就本文而言,这些病例是前来就诊并被收治到伊朗西北部专科医院的患者。该研究通过应用网络分析方法,考察了蓄意自我中毒之前的问题及其相互关系。对该网络进行了中心性程度和中介中心性评分。还使用块建模对网络进行了结构分析。结果表明,家庭冲突在女性中心性程度得分中最高,而男性中心性程度得分最高的是那些有药物成瘾问题的人。中介中心性程度分析显示,药物成瘾在男性中得分最高,而女性中介中心性得分最高与身体疾病有关。网络结构分析表明,各种问题在故意自我中毒中所起的作用存在差异。公共卫生当局可利用本研究的结果制定预防方案,以解决导致蓄意自我中毒的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/098d/5303583/4ebd075e1333/PSYCHIATRY2017-3619721.001.jpg

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