Evidence map›Paper›PMID 30248897›Full record

ArticleInternational journal of environmental research and public health2018

Suicide on the Railways in Belgium: A Typology of Locations and Potential for Prevention.

Mathieu Strale, Karolina Krysinska, Gaëtan Van Overmeiren, Karl Andriessen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mathieu StraleInstitut de Gestion de l'Environnement et d'Amenagement du Territoire (IGEAT-ULB), Université Libre de Bruxelles, 1050 Brussels, Belgium. mstrale@ulb.ac.be.
Karolina KrysinskaCentre for Primary Health Care and Equity, University of New South Wales, Sydney NSW 2052, Australia. k.krysinska@unsw.edu.au.ORCID 0000-0002-7033-6904
Gaëtan Van OvermeirenInfrabel, Operational Safety Division, 1060 Brussels, Belgium. gaetan.vanovermeiren@infrabel.be.
Karl AndriessenFaculty of Psychology and Educational Sciences, KU Leuven-University of Leuven, 3000 Leuven, Belgium. k.andriessen@unsw.edu.au.ORCID 0000-0002-3107-1114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide on railway networks comprises a serious public health problem. However, the geographical distribution and the environmental risk factors remain unclear. This study analyzed the geographic distribution of railway suicides in Belgium from 2008⁻2013 at the level of a railway section (average length of 3.5 km). Principal component analysis (PCA) identified three groups of correlations that helped explain the variance of railway suicide. The three groups are related to characteristics of urban spaces, psychiatric facilities, and railway traffic density. Based on the PCA results, the study found four types of railway sections. The density of railway suicide was average and low in the urban and rural/industrial sections, respectively. However, it was high in the suburban sections and the sections close to psychiatric facilities. As the geographical proximity of a psychiatric facility comprises a specific risk factor for suicide on railways, preventative measures should target these sections and establish collaborations with psychiatric facilities. The typology of locations found in this study constitutes crucial information for national and local suicide prevention on the Belgian railway network.

Indexed as

Environment DesignRailroadsSuicide PreventionBelgiumHospitals, PsychiatricHumansPrincipal Component AnalysisRisk FactorsRural HealthSuicideUrban HealthBelgiumgeographical distributionpreventionprincipal component analysispsychiatric hospitalsrailwaysuicide

Identifiers

PMID30248897
PMCPMC6209948

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Registered trials

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