The impact of black carbon (BC) on mode-specific galvanic skin response (GSR) as a measure of stress in urban environments.


Journal

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

Informations de publication

Date de publication:
11 2022
Historique:
received: 24 06 2022
revised: 04 08 2022
accepted: 05 08 2022
pubmed: 23 8 2022
medline: 15 9 2022
entrez: 22 8 2022
Statut: ppublish

Résumé

Previous research has shown that walking and cycling could help alleviate stress in cities, however there is poor knowledge on how specific microenvironmental conditions encountered during daily journeys may lead to varying degrees of stress experienced at that moment. We use objectively measured data and a robust causal inference framework to address this gap. Using a Bayesian Doubly Robust (BDR) approach, we find that black carbon exposure statistically significantly increases stress, as measured by Galvanic Skin Response (GSR), while cycling and while walking. Augmented Outcome Regression (AOR) models indicate that greenspace exposure and the presence of walking or cycling infrastructure could reduce stress. None of these effects are statistically significant for people in motorized transport. These findings add to a growing evidence-base on health benefits of policies aimed at decreasing air pollution, improving active travel infrastructure and increasing greenspace in cities.

Identifiants

pubmed: 35995220
pii: S0013-9351(22)01410-4
doi: 10.1016/j.envres.2022.114083
pii:
doi:

Substances chimiques

Soot 0
Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

114083

Subventions

Organisme : Medical Research Council
ID : MR/S019669/1
Pays : United Kingdom

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Xiuleng Yang (X)

Department of Mathematics, Imperial College London, London, United Kingdom.

Juan Pablo Orjuela (JP)

Transport Studies Unit (TSU), School of Geography and the Environment, University of Oxford, United Kingdom.

Emma McCoy (E)

Department of Mathematics, Imperial College London, London, United Kingdom.

Guillem Vich (G)

Institute for Global Health (ISGlobal), Barcelona, Spain.

Esther Anaya-Boig (E)

Centre for Environmental Policy, Imperial College London, London, United Kingdom.

Ione Avila-Palencia (I)

Centre for Public Health, Queen's University Belfast, United Kingdom.

Christian Brand (C)

Transport Studies Unit (TSU), School of Geography and the Environment, University of Oxford, United Kingdom; Environmental Change Institute, University of Oxford, Oxford, United Kingdom.

Glòria Carrasco-Turigas (G)

Institute for Global Health (ISGlobal), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.

Evi Dons (E)

Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Flemish Institute for Technological Research (VITO), Mol, Belgium.

Regine Gerike (R)

TU Dresden, Institute of Transport Planning and Road Traffic, Germany.

Thomas Götschi (T)

School of Planning, Public Policy & Management (PPPM), University of Oregon, Eugene, USA.

Mark Nieuwenhuijsen (M)

Institute for Global Health (ISGlobal), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.

Luc Int Panis (LI)

Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Flemish Institute for Technological Research (VITO), Mol, Belgium.

Arnout Standaert (A)

Flemish Institute for Technological Research (VITO), Mol, Belgium.

Audrey de Nazelle (A)

Centre for Environmental Policy, Imperial College London, London, United Kingdom; MRC-PHE Centre for Environment and Health, Imperial College London, United Kingdom. Electronic address: anazelle@imperial.ac.uk.

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Classifications MeSH