台湾两个城市时空自我伤害与自杀群。

IF 5.9 2区 医学 Q1 PSYCHIATRY
Fang-Wen Lu, Erica Conway, Ya-Lun Liang, Ying-Yeh Chen, David Gunnell, Shu-Sen Chang
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引用次数: 0

摘要

目的:自杀行为可能在时间和空间上聚集,并导致社区对进一步的模仿自杀事件的关注。尽管在以前的研究中已经对自杀集群进行了研究,但对非致命自杀行为(自残)的集群知之甚少。此外,以往的研究大多使用粗糙的时空信息,如按月和居住地聚集的人数,进行聚类检测分析。本研究旨在(i)利用每日发生的自杀事件数据和确切的地址来识别自我伤害和自杀的时空集群,(ii)调查集群相关自杀行为的特征。方法:本研究以台北市及新北市急诊自残及自杀死亡个案为资料。在全年龄和特定年龄的分析中,使用时空排列扫描统计来识别自我伤害和自杀集群。p值的截断值0.10用于识别可能的群集。使用逻辑回归来调查与群集相关发作相关的特征。结果:2004-2006年台北市共发生5291次自残事件和1406次自杀,2012-2016年新北市共发生20531次自残事件和2329次自杀。在两个城市中,发现了两个自残群集(n[群集中自残事件或自杀死亡人数]= 4和8),四个自杀群集(n = 3在台北市,n = 4, 11和4在新北市)和两个自残和自杀合并群集(n = 4在台北市,n = 8在新北市)。自残、自杀、自残和自杀相结合的时空集群分别占自杀行为组的0.05%、0.59%和0.08%。群体相关的自残和自杀事件更可能发生在男性(调整优势比[aOR] = 2.22, 95%可信区间[CI] 1.26, 3.89)和10-29岁的年轻人(aOR = 2.72, 95% CI 1.43, 5.21)中。结论:自残、自杀、自残和自杀相结合的时空集群在自杀行为中所占比例相对较小,且与一定的性别/年龄特征相关。只关注自杀死亡可能会低估某些群体的规模和/或导致某些群体被忽视。未来的研究可以考虑将自我伤害和自杀数据结合起来,并利用社会联系信息来调查可能的自杀行为集群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Space-time self-harm and suicide clusters in two cities in Taiwan.

Space-time self-harm and suicide clusters in two cities in Taiwan.

Space-time self-harm and suicide clusters in two cities in Taiwan.

Space-time self-harm and suicide clusters in two cities in Taiwan.

Aims: Suicidal acts may cluster in time and space and lead to community concerns about further imitative suicidal episodes. Although suicide clusters have been researched in previous studies, less is known about the clustering of non-fatal suicidal behaviour (self-harm). Furthermore, most previous studies used crude temporal and spatial information, e.g., numbers aggregated by month and residence area, for cluster detection analysis. This study aimed to (i) identify space-time clusters of self-harm and suicide using daily incidence data and exact address and (ii) investigate the characteristics of cluster-related suicidal acts.

Methods: Data on emergency department presentations for self-harm and suicide deaths in Taipei City and New Taipei City, Taiwan, were used in this study. In all-age and age-specific analyses, self-harm and suicide clusters were identified using space-time permutation scan statistics. A cut-off of 0.10 for the p value was used to identify possible clusters. Logistic regression was used to investigate the characteristics associated with cluster-related episodes.

Results: A total of 5,291 self-harm episodes and 1,406 suicides in Taipei City (2004-2006) and 20,531 self-harm episodes and 2,329 suicides in New Taipei City (2012-2016) were included in the analysis. In the two cities, two self-harm clusters (n [number of self-harm episodes or suicide deaths in the cluster] = 4 and 8 in Taipei City), four suicide clusters (n = 3 in Taipei City and n = 4, 11 and 4 in New Taipei City) and two self-harm and suicide combined clusters (n = 4 in Taipei City and n = 8 in New Taipei City) were identified. Space-time clusters of self-harm, suicide, and self-harm and suicide combined accounted for 0.05%, 0.59%, and 0.08% of the respective groups of suicidal acts. Cluster-related episodes of self-harm and suicide were more likely to be male (adjusted odds ratio [aOR] = 2.22, 95% confidence interval [CI] 1.26, 3.89) and young people aged 10-29 years (aOR = 2.72, 95% CI 1.43, 5.21) than their cluster-unrelated counterparts.

Conclusions: Space-time clusters of self-harm, suicide, and self-harm and suicide combined accounted for a relatively small proportion of suicidal acts and were associated with some sex/age characteristics. Focusing on suicide deaths alone may underestimate the size of some clusters and/or lead to some clusters being overlooked. Future research could consider combining self-harm and suicide data and use social connection information to investigate possible clusters of suicidal acts.

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来源期刊
CiteScore
7.80
自引率
1.20%
发文量
121
审稿时长
>12 weeks
期刊介绍: Epidemiology and Psychiatric Sciences is a prestigious international, peer-reviewed journal that has been publishing in Open Access format since 2020. Formerly known as Epidemiologia e Psichiatria Sociale and established in 1992 by Michele Tansella, the journal prioritizes highly relevant and innovative research articles and systematic reviews in the areas of public mental health and policy, mental health services and system research, as well as epidemiological and social psychiatry. Join us in advancing knowledge and understanding in these critical fields.
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