Evidence map›Paper›PMID 29546252›Full record

ArticleThe Lancet. Planetary health2018

Natural environments and suicide mortality in the Netherlands: a cross-sectional, ecological study.

Marco Helbich, Derek de Beurs, Mei-Po Kwan, Rory C O'Connor, Peter P Groenewegen

Abstract read
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Article in The Lancet. Planetary health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Beneficial Use Impairments, Degradation of Aesthetics, and Human Health: A Review.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Marco HelbichDepartment of Human Geography and Spatial Planning, Utrecht University, Utrecht, Netherlands.
Derek de BeursNetherlands Institute for Health Services Research, Utrecht, Netherlands.
Mei-Po KwanDepartment of Human Geography and Spatial Planning, Utrecht University, Utrecht, Netherlands.
Rory C O'ConnorSuicidal Behaviour Research Laboratory, Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.
Peter P GroenewegenDepartment of Human Geography and Spatial Planning, Utrecht University, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNatural outdoor environments, such as green spaces (ie, grass, forests, or parks), blue spaces (ie, visible bodies of fresh or salt water), and coastal proximity, have been increasingly shown to promote mental health. However, little is known about how and the extent to which these natural environments are associated with suicide mortality. Our aim was to investigate whether the availability of green space and blue space within people's living environments and living next to the coast are protective against suicide mortality.

methodsIn this cross-sectional, ecological study, we analysed officially confirmed deaths by suicide between 2005 and 2014 per municipality in the Netherlands. We calculated indexes to measure the proportion of green space and blue space per municipality and the coastal proximity of each municipality using a geographical information system. We fitted Bayesian hierarchical Poisson regressions to assess associations between suicide risk, green space, blue space, and coastal proximity, adjusted for risk and protective factors.

findingsMunicipalities with a large proportion of green space (relative risk 0·879, 95% credibility interval 0·779-0·991) or a moderate proportion of green space (0·919, 0·846-0·998) showed a reduced suicide risk compared with municipalities with less green space. Green space did not differ according to urbanicity in relation to suicide. Neither blue space nor coastal proximity was associated with suicide risk. The geographical variation in the residual relative suicide risk was substantial and the south of the Netherlands was at high risk.

interpretationOur findings support the notion that exposure to natural environments, particularly to greenery, might have a role in reducing suicide mortality. If confirmed by future studies on an individual level, the consideration of environmental exposures might enrich suicide prevention programmes.

fundingEuropean Research Council (grant agreement number 714993).

Identifiers

PMID29546252
PMCPMC5846805

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.