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Real-time air pollution and bipolar disorder symptoms: remote-monitored cross-sectional study

Kandola, Aaron; Hayes, Joseph F; (2023) Real-time air pollution and bipolar disorder symptoms: remote-monitored cross-sectional study. BJPsych Open , 9 (4) , Article e107. 10.1192/bjo.2023.77. Green open access

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Abstract

Air pollution is associated with unipolar depression and other mental health problems. We assessed the real-time association between localised mean air quality index and the severity of depression and mania symptoms in people with bipolar disorder. We found that as air quality worsened, symptoms of depression increased. We found no association between air quality and mania symptoms.

Type: Article
Title: Real-time air pollution and bipolar disorder symptoms: remote-monitored cross-sectional study
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1192/bjo.2023.77
Publisher version: https://doi.org/10.1192/bjo.2023.77
Language: English
Additional information: Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Keywords: Epidemiology; rating scales; depressive disorders; bipolar affective disorders; ecological momentary assessment.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry > Epidemiology and Applied Clinical Research
URI: https://discovery.ucl.ac.uk/id/eprint/10172603
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