The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis.

Built environment Depression Green space Meta-analysis Natural environment Systematic review

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
10 2019
Historique:
received: 23 05 2019
revised: 22 07 2019
accepted: 23 07 2019
pubmed: 31 7 2019
medline: 16 4 2020
entrez: 31 7 2019
Statut: ppublish

Résumé

Research suggests that exposure to the natural environment can improve mood, however, current reviews are limited in scope and there is little understanding of moderators. To conduct a comprehensive systematic review and meta-analysis of the evidence for the effect of short-term exposure to the natural environment on depressive mood. Five databases were systematically searched for relevant studies published up to March 2018. Risk of bias was evaluated using the Cochrane Risk of Bias (ROB) tool 1.0 and the Risk of Bias in Non-Randomised Studies of Interventions (ROBINS-I) tool where appropriate. The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach was used to assess the quality of evidence overall. A random-effects meta-analysis was performed. 20 potential moderators of the effect size were coded and the machine learning-based MetaForest algorithm was used to identify relevant moderators. These were then entered into a meta-regression. 33 studies met the inclusion criteria. Effect sizes ranged from -2.30 to 0.84, with an unweighted mean effect size of M A small effect was found for reduction in depressive mood following exposure to the natural environment. However, the high risk of bias and low quality of studies limits confidence in the results. The variation in effect size also remains largely unexplained. It is recommended that future studies make use of reporting guidelines and aim to reduce the potential for bias where possible.

Sections du résumé

BACKGROUND
Research suggests that exposure to the natural environment can improve mood, however, current reviews are limited in scope and there is little understanding of moderators.
OBJECTIVE
To conduct a comprehensive systematic review and meta-analysis of the evidence for the effect of short-term exposure to the natural environment on depressive mood.
METHODS
Five databases were systematically searched for relevant studies published up to March 2018. Risk of bias was evaluated using the Cochrane Risk of Bias (ROB) tool 1.0 and the Risk of Bias in Non-Randomised Studies of Interventions (ROBINS-I) tool where appropriate. The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach was used to assess the quality of evidence overall. A random-effects meta-analysis was performed. 20 potential moderators of the effect size were coded and the machine learning-based MetaForest algorithm was used to identify relevant moderators. These were then entered into a meta-regression.
RESULTS
33 studies met the inclusion criteria. Effect sizes ranged from -2.30 to 0.84, with an unweighted mean effect size of M
CONCLUSIONS
A small effect was found for reduction in depressive mood following exposure to the natural environment. However, the high risk of bias and low quality of studies limits confidence in the results. The variation in effect size also remains largely unexplained. It is recommended that future studies make use of reporting guidelines and aim to reduce the potential for bias where possible.

Identifiants

pubmed: 31362251
pii: S0013-9351(19)30403-7
doi: 10.1016/j.envres.2019.108606
pii:
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

108606

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Hannah Roberts (H)

Department of Human Geography and Spatial Planning, Utrecht University, Netherlands. Electronic address: h.e.roberts@uu.nl.

Caspar van Lissa (C)

Department of Methodology and Statistics, Utrecht University, Netherlands.

Paulien Hagedoorn (P)

Department of Human Geography and Spatial Planning, Utrecht University, Netherlands.

Ian Kellar (I)

School of Psychology, University of Leeds, United Kingdom.

Marco Helbich (M)

Department of Human Geography and Spatial Planning, Utrecht University, Netherlands.

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