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年轻人自杀事件聚集:同一时期的聚集是否预示着之后的聚集?

Clusters of Suicidal Events Among Young People: Do Clusters from One Time Period Predict Later Clusters?

机构信息

Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Vic, Australia.

Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Vic, Australia.

出版信息

Suicide Life Threat Behav. 2019 Apr;49(2):561-571. doi: 10.1111/sltb.12460. Epub 2018 Mar 26.

Abstract

We sought to compare clusters of suicidal events between two different time periods and examine the extent to which earlier clusters predict later clusters. We included data on suicides and suicide attempts from New South Wales between July 2001 and June 2012 and Western Australia between January 2000 and December 2011. Suicide attempts included admissions to hospital for deliberate self-harm and suicides were deaths due to deliberate self-harm. We combined data on suicides and suicide attempts and grouped them into two equal time periods. We detected clusters in each period using Poisson discrete scan statistics adjusted for socio-economic status. We estimated the predictive values of earlier clusters on later clusters. The results showed that clusters from earlier time period had a moderate power (36%) in predicting later clusters. During the later time period, some additional cluster areas (14%) were found and some earlier cluster areas subsided (64%). Historical clusters predict 36% of the subsequent clusters, which is probably not sufficient for targeting interventions. Our study highlights the need for other strategies to detect emerging clusters, for example, up-to-date data.

摘要

我们试图比较两个不同时间段内自杀事件的集群,并研究早期集群在多大程度上可以预测后期集群。我们纳入了 2001 年 7 月至 2012 年 6 月新南威尔士州和 2000 年 1 月至 2011 年 12 月西澳大利亚州的自杀和自杀未遂数据。自杀未遂包括因故意自残而住院的情况,自杀是指因故意自残而导致的死亡。我们将自杀和自杀未遂的数据合并,并将其分为两个相等的时间段。我们使用泊松离散扫描统计数据对社会经济地位进行了调整,以检测每个时期的集群。我们估计了早期集群对后期集群的预测值。结果表明,早期集群对后期集群的预测能力适中(36%)。在后期,发现了一些额外的集群区域(14%),而一些早期集群区域则减弱(64%)。历史集群可以预测 36%的后续集群,但这可能不足以作为干预的目标。我们的研究强调需要采取其他策略来发现新出现的集群,例如,使用最新数据。

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