Outdoor light at night, air pollution and depressive symptoms: A cross-sectional study in the Netherlands.


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Nov 2020
Historique:
received: 28 05 2020
revised: 09 07 2020
accepted: 10 07 2020
pubmed: 7 8 2020
medline: 17 9 2020
entrez: 7 8 2020
Statut: ppublish

Résumé

Artificial light at night (ALAN) may be an anthropogenic stressor for mental health disturbing humans' natural day-night cycle. However, the few existing studies used satellite-based measures of radiances for outdoor ALAN exposure assessments, which were possibly confounded by traffic-related air pollutants. To assess 1) whether living in areas with increased exposure to outdoor ALAN is associated with depressive symptoms; and 2) to assess the potential confounding effects of air pollution. We used cross-sectional data from people (N = 10,482) aged 18-65 years in the Netherlands. Depressive symptoms were assessed with the Patient Health Questionnaire (PHQ-9). Satellite-measured annual ALAN were taken from the Visible Infrared Imaging Radiometer Suite. ALAN exposures were assessed at people's home address within 100 and 600 m buffers. We used generalized (geo)additive models to quantify associations between PHQ-9 scores and quintiles of ALAN adjusting for several potential confounders including PM Unadjusted estimates for the 100 m buffers showed that people in the 2 Accounting for NO

Sections du résumé

BACKGROUND BACKGROUND
Artificial light at night (ALAN) may be an anthropogenic stressor for mental health disturbing humans' natural day-night cycle. However, the few existing studies used satellite-based measures of radiances for outdoor ALAN exposure assessments, which were possibly confounded by traffic-related air pollutants.
OBJECTIVES OBJECTIVE
To assess 1) whether living in areas with increased exposure to outdoor ALAN is associated with depressive symptoms; and 2) to assess the potential confounding effects of air pollution.
METHODS METHODS
We used cross-sectional data from people (N = 10,482) aged 18-65 years in the Netherlands. Depressive symptoms were assessed with the Patient Health Questionnaire (PHQ-9). Satellite-measured annual ALAN were taken from the Visible Infrared Imaging Radiometer Suite. ALAN exposures were assessed at people's home address within 100 and 600 m buffers. We used generalized (geo)additive models to quantify associations between PHQ-9 scores and quintiles of ALAN adjusting for several potential confounders including PM
RESULTS RESULTS
Unadjusted estimates for the 100 m buffers showed that people in the 2
CONCLUSION CONCLUSIONS
Accounting for NO

Identifiants

pubmed: 32755781
pii: S0048-9697(20)34443-0
doi: 10.1016/j.scitotenv.2020.140914
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

140914

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have no conflict of interest to declare.

Auteurs

Marco Helbich (M)

Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, the Netherlands. Electronic address: m.helbich@uu.nl.

Matthew H E M Browning (MHEM)

Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA.

Anke Huss (A)

Institute for Risk Assessment Sciences, Faculties of Veterinary Medicine, Medicine, and Sciences, Utrecht University, Utrecht, the Netherlands.

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