Predictors of using trains as a suicide method: Findings from Victoria, Australia

Lay San Too; Lyndal Bugeja; Allison Milner; Roderick McClure; Matthew J. Spittal

doi:10.1016/j.psychres.2017.03.057

Back

Predictors of using trains as a suicide method: Findings from Victoria, Australia

Journal article

Peer reviewed

Predictors of using trains as a suicide method: Findings from Victoria, Australia

Lay San Too, Lyndal Bugeja, Allison Milner, Roderick McClure and Matthew J. Spittal

Psychiatry Research, Vol.253, pp.233-239

2017

DOI: https://doi.org/10.1016/j.psychres.2017.03.057

PMID: 28395228

Files and links (1)

url

https://doi.org/10.1016/j.psychres.2017.03.057View

Published Version

Abstract

This study aimed to investigate the factors associated with the choice of trains over other means of suicide. We performed a case-control study using data on all suicides in Victoria, Australia between 2009 and 2012. Cases were those who died by rail suicide and controls were those who died by suicide by any other means. A logistic regression model was used to estimate the association between the choice of trains and a range of individual level and neighbourhood-level factors. Individuals who were never married had double odds of using trains compared to individuals who were married. Those from areas with a higher proportion of people who travel to work by train also had greater odds of dying by railway suicide compared to those from areas with a relatively lower proportion of people who travel to work by train. Prevention efforts should consider limiting access to the railways and other evidence-based suicide prevention activities.

Details

Title: Predictors of using trains as a suicide method: Findings from Victoria, Australia
Authors: Lay San Too (Author) - University of Melbourne
Lyndal Bugeja (Author) - Monash University
Allison Milner (Author) - University of Melbourne
Roderick McClure (Author) - Harvard University
Matthew J. Spittal (Author) - University of Melbourne
Publication details: Psychiatry Research, Vol.253, pp.233-239
Publisher: Elsevier Ireland Ltd.
DOI: 10.1016/j.psychres.2017.03.057
ISSN: 1872-7123
PMID: 28395228
Organisation Unit: University of the Sunshine Coast, Queensland; Centre for Human Factors and Sociotechnical Systems
Language: English
Record Identifier: 99651364702621
Output Type: Journal article

Metrics

13 Record Views

5 Times Cited - Web of Science

See more details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Psychiatry

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites