113 Suicide Prevention, Amsterdam, Netherlands.
Amsterdam UMC, Amsterdam, Netherlands.
BMC Public Health. 2024 Feb 26;24(1):607. doi: 10.1186/s12889-024-18120-w.
Railway suicide has profound implications for the victims and their family, and affects train drivers, railway personnel, emergency services and witnesses. To inform a multilevel prevention strategy, more knowledge is required about psychosocial and precipitating risk factors of railway suicide.
Data from Statistics Netherlands of all suicides between 2017 and 2021 (n = 9.241) of whom 986 died by railway suicide and interview data from a psychosocial autopsy of railway suicide decedents (n = 39) were integrated. We performed logistic regression analyses to identify sociodemographic predictors of railway suicide compared to other methods of suicide. The Constant Comparative Method was subsequently employed on interview data from the psychosocial autopsy to identify patterns in psychosocial risk factors for railway suicide.
The strongest predictors of railway suicide compared to other suicide methods were young age (< 30 years old), native Dutch, a high educational level, living in a multi-person household (especially living with parents or in an institution), living in a rural area and a high annual household income of > 150.000 euros. Several subgroups emerged in the psychosocial autopsy interviews, which specifically reflect populations at risk of railway suicide. These subgroups were [1] young adult males with autism spectrum disorder who strived for more autonomy and an independent life, [2] young adult females with persistent suicidal thoughts and behaviours, [3] middle-aged males with a persistent mood disorder who lived with family and who faced stressors proximal to the suicide in personal and professional settings, [4] male out-of-the-blue suicides and [5] persons with psychotic symptoms and a rapid deterioration.
based on our findings we propose and discuss several recommendations to prevent railway suicide. We must continue to invest in a safe railway environment by training personnel and installing barriers. Additionally, we should adopt prevention strategies that align the needs of subgroups at increased risk, including young females who have attempted other methods of suicide and young males with autism spectrum disorder. Future research should determine the cost-effectiveness and feasibility of low-maintenance, automated interventions near crossings and psychiatric facilities.
铁路自杀对受害者及其家属有深远的影响,并影响到火车司机、铁路工作人员、紧急救援服务人员和目击者。为了制定多层次的预防策略,我们需要更多地了解铁路自杀的社会心理和促成因素风险。
整合了荷兰统计局 2017 年至 2021 年期间所有自杀数据(n=9241),其中 986 人死于铁路自杀,以及对铁路自杀死者进行社会心理剖检的访谈数据(n=39)。我们进行了逻辑回归分析,以确定与其他自杀方式相比,铁路自杀的社会人口学预测因素。随后,我们使用恒定性比较方法对社会心理剖检的访谈数据进行分析,以确定铁路自杀的社会心理风险因素模式。
与其他自杀方式相比,铁路自杀的最强预测因素是年轻(<30 岁)、荷兰本地人、高教育水平、多人居住(尤其是与父母或在机构中居住)、居住在农村地区和年收入超过 150.000 欧元。在社会心理剖检访谈中出现了几个亚组,这些亚组特别反映了铁路自杀风险人群。这些亚组包括[1]患有自闭症谱系障碍的年轻成年男性,他们渴望获得更多的自主权和独立生活;[2]有持续自杀想法和行为的年轻成年女性;[3]有持续情绪障碍的中年男性,他们与家人一起生活,在个人和职业环境中面临与自杀相关的压力源;[4]男性突然自杀者;[5]有精神病症状和快速恶化的人。
基于我们的发现,我们提出并讨论了几项预防铁路自杀的建议。我们必须继续通过培训人员和安装障碍物来投资于安全的铁路环境。此外,我们应该采取符合有较高风险亚组需求的预防策略,包括尝试过其他自杀方式的年轻女性和患有自闭症谱系障碍的年轻男性。未来的研究应该确定在铁路交叉口和精神病院附近实施低维护、自动化干预措施的成本效益和可行性。