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The association between daily concentrations of air pollution and visits to a psychiatric emergency unit: a case-crossover study

The association between daily concentrations of air pollution and visits to a psychiatric emergency unit: a case-crossover study


Titill: The association between daily concentrations of air pollution and visits to a psychiatric emergency unit: a case-crossover study
Höfundur: Oudin, Anna
Åström, Daniel Oudin
Asplund, Peter
Steingrimsson, Steinn
Szabo, Zoltan
Carlsen, Hanne Krage   orcid.org/0000-0003-1656-9624
Útgáfa: 2018-01-10
Tungumál: Enska
Umfang: 4
Háskóli/Stofnun: Háskóli Íslands
University of Iceland
Svið: Verkfræði- og náttúruvísindasvið (HÍ)
School of Engineering and Natural Sciences (UI)
Birtist í: Environmental Health;17(1)
ISSN: 1476-069X
DOI: 10.1186/s12940-017-0348-8
Efnisorð: Air pollution; Particles; Psychiatric disorders; Mental distress; Environmental epidemiology; Acute effects of air pollution; Loftmengun; Geðsjúkdómar; Geðheilsa; Umhverfisáhrif
URI: https://hdl.handle.net/20.500.11815/864

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Tilvitnun:

Oudin, A., Åström, D. O., Asplund, P., Steingrimsson, S., Szabo, Z., & Carlsen, H. K. (2018). The association between daily concentrations of air pollution and visits to a psychiatric emergency unit: a case-crossover study. Environmental Health, 17(1), 4. doi:10.1186/s12940-017-0348-8

Útdráttur:

Background: Air pollution is one of the leading causes of mortality and morbidity worldwide. Experimental studies, and a few epidemiological studies, suggest that air pollution may cause acute exacerbation of psychiatric disorders, and even increase the rate of suicide attempts, but epidemiological studies on air pollution in association with psychiatric disorders are still few. Our aim was to investigate associations between daily fluctuations in air pollution concentrations and the daily number of visits to a psychiatric emergency unit. Methods: Data from Sahlgrenska University Hospital, Gothenburg, Sweden, on the daily number of visits to the Psychiatric emergency unit were combined with daily data on monitored concentrations of respirable particulate matter(PM10), ozone(O3), nitrogen dioxides(NO2) and temperature between 1st July 2012 and 31st December 2016. We used a case-crossover design to analyze data with conditional Poisson regression models allowing for over-dispersion. We stratified data on season. Results: Visits increased with increasing PM10 levels during the warmer season (April to September) in both single-pollutant and two-pollutant models. For example, an increase of 3.6% (95% Confidence Interval, CI, 0.4–7.0%) was observed with a 10 μg/m3 increase in PM10 adjusted for NO2. In the three-pollutant models (adjusting for NO2 and O3 simultaneously) the increase was 3.3% (95% CI, −0.2-6.9). There were no clear associations between the outcome and NO2, O3, or PM10 during the colder season (October to March). Conclusions: Ambient air particle concentrations were associated with the number of visits to the Psychiatric emergency unit in the warm season. The results were only borderline statistically significant in the fully adjusted (three-pollutant) models in this small study. The observation could be interpreted as indicative of air pollution as either exacerbating an underlying psychiatric disorder, or increasing mental distress, even in areas with comparatively low levels of air pollution. In combination with the severe impact of psychiatric disorders and mental distress on society and individuals, our results are a strong warrant for future research in this area.

Leyfi:

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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