Characteristics and circumstances of rail suicides in England 2019–2021: A cluster analysis and autopsy study

• Published in: Journal of affective disorders 2024-06, Vol.354, p.397-407
• Main Authors: Norman, Hilary, Marzano, Lisa, Fields, Bob, Brown, Sophie, MacDonald Hart, Steven, Kruger, Ian
• Format: Article
• Language: English
• Subjects: Cluster; Intervention; Prevention; Railway; Suicide
• ISSN: 0165-0327; 1573-2517
• DOI: 10.1016/j.jad.2024.03.020

Around 4 % of all suicide deaths in Great Britain occur on the railways. This exploratory study was designed to increase understanding of the individuals that take their lives in this way, and the circumstances of their death. Data were obtained from fatality investigation files compiled by the British Transport Police (BTP) relating to suspected suicides on the mainline railway in England from April 2019 to March 2021. Cluster analysis was carried out to identify grouped associations of characteristics and circumstances relating to rail suicide. A total of 436 files were analysed, representing 93 % of all suspected railway suicides during this period. Cluster analysis identified four groups of almost equal size, distinguished principally by age, living arrangements, employment status and location of death. The study is novel in the way it integrates individual characteristics and circumstances of death. The identified clusters may provide a multidimensional way of conceptualising suicide risk that could inform more targeted interventions at rail locations. A high proportion of missing data means that the findings need to be interpreted with caution. It also restricted the multivariate analysis to those categories of information for which sufficient information was available. The characteristics and circumstances of suicide deaths on the railways are complex and multifaceted. The typology identified in this study may help to target preventative strategies prior to the incident as well as at different location types. •This study presents the first comprehensive picture of rail suicides in England.•Cluster analysis identified groups of cases that are statistically closely related.•Clusters of characteristics and circumstances may inform prevention ‘upstream’.•The results support measures that disrupt impulsive action at the scene.