Mental health consequences of urban air pollution: prospective population-based longitudinal survey.
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| Title: | Mental health consequences of urban air pollution: prospective population-based longitudinal survey. |
|---|---|
| Authors: | Bakolis, Ioannis (AUTHOR), Hammoud, Ryan (AUTHOR), Stewart, Robert (AUTHOR), Beevers, Sean (AUTHOR), Dajnak, David (AUTHOR), MacCrimmon, Shirlee (AUTHOR), Broadbent, Matthew (AUTHOR), Pritchard, Megan (AUTHOR), Shiode, Narushige (AUTHOR), Fecht, Daniela (AUTHOR), Gulliver, John (AUTHOR), Hotopf, Matthew (AUTHOR), Hatch, Stephani L. (AUTHOR), Mudway, Ian S. (AUTHOR) |
| Source: | Social Psychiatry & Psychiatric Epidemiology. Sep2021, Vol. 56 Issue 9, p1587-1599. 13p. |
| Subjects: | Air pollution, World Health Organization, Urban pollution, Air pollutants, Mental health, Urban health, Mental health surveys, Air quality |
| Abstract: | Purpose: The World Health Organisation (WHO) recently ranked air pollution as the major environmental cause of premature death. However, the significant potential health and societal costs of poor mental health in relation to air quality are not represented in the WHO report due to limited evidence. We aimed to test the hypothesis that long-term exposure to air pollution is associated with poor mental health. Methods: A prospective longitudinal population-based mental health survey was conducted of 1698 adults living in 1075 households in South East London, from 2008 to 2013. High-resolution quarterly average air pollution concentrations of nitrogen dioxide (NO2) and oxides (NOx), ozone (O3), particulate matter with an aerodynamic diameter < 10 μm (PM10) and < 2.5 μm (PM2.5) were linked to the home addresses of the study participants. Associations with mental health were analysed with the use of multilevel generalised linear models, after adjusting for large number of confounders, including the individuals' socioeconomic position and exposure to road-traffic noise. Results: We found robust evidence for interquartile range increases in PM2.5, NOx and NO2 to be associated with 18–39% increased odds of common mental disorders, 19–30% increased odds of poor physical symptoms and 33% of psychotic experiences only for PM10. These longitudinal associations were more pronounced in the subset of non-movers for NO2 and NOx. Conclusions: The findings suggest that traffic-related air pollution is adversely affecting mental health. Whilst causation cannot be proved, this work suggests substantial morbidity from mental disorders could be avoided with improved air quality. [ABSTRACT FROM AUTHOR] |
| Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 152371955 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mental health consequences of urban air pollution: prospective population-based longitudinal survey. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bakolis%2C+Ioannis%22">Bakolis, Ioannis</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hammoud%2C+Ryan%22">Hammoud, Ryan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stewart%2C+Robert%22">Stewart, Robert</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beevers%2C+Sean%22">Beevers, Sean</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dajnak%2C+David%22">Dajnak, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22MacCrimmon%2C+Shirlee%22">MacCrimmon, Shirlee</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Broadbent%2C+Matthew%22">Broadbent, Matthew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pritchard%2C+Megan%22">Pritchard, Megan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shiode%2C+Narushige%22">Shiode, Narushige</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fecht%2C+Daniela%22">Fecht, Daniela</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gulliver%2C+John%22">Gulliver, John</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hotopf%2C+Matthew%22">Hotopf, Matthew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hatch%2C+Stephani+L%2E%22">Hatch, Stephani L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mudway%2C+Ian+S%2E%22">Mudway, Ian S.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Sep2021, Vol. 56 Issue 9, p1587-1599. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br /><searchLink fieldCode="DE" term="%22World+Health+Organization%22">World Health Organization</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+pollution%22">Urban pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Air+pollutants%22">Air pollutants</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+health%22">Urban health</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health+surveys%22">Mental health surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Air+quality%22">Air quality</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: The World Health Organisation (WHO) recently ranked air pollution as the major environmental cause of premature death. However, the significant potential health and societal costs of poor mental health in relation to air quality are not represented in the WHO report due to limited evidence. We aimed to test the hypothesis that long-term exposure to air pollution is associated with poor mental health. Methods: A prospective longitudinal population-based mental health survey was conducted of 1698 adults living in 1075 households in South East London, from 2008 to 2013. High-resolution quarterly average air pollution concentrations of nitrogen dioxide (NO2) and oxides (NOx), ozone (O3), particulate matter with an aerodynamic diameter < 10 μm (PM10) and < 2.5 μm (PM2.5) were linked to the home addresses of the study participants. Associations with mental health were analysed with the use of multilevel generalised linear models, after adjusting for large number of confounders, including the individuals' socioeconomic position and exposure to road-traffic noise. Results: We found robust evidence for interquartile range increases in PM2.5, NOx and NO2 to be associated with 18–39% increased odds of common mental disorders, 19–30% increased odds of poor physical symptoms and 33% of psychotic experiences only for PM10. These longitudinal associations were more pronounced in the subset of non-movers for NO2 and NOx. Conclusions: The findings suggest that traffic-related air pollution is adversely affecting mental health. Whilst causation cannot be proved, this work suggests substantial morbidity from mental disorders could be avoided with improved air quality. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=152371955 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00127-020-01966-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1587 Subjects: – SubjectFull: Air pollution Type: general – SubjectFull: World Health Organization Type: general – SubjectFull: Urban pollution Type: general – SubjectFull: Air pollutants Type: general – SubjectFull: Mental health Type: general – SubjectFull: Urban health Type: general – SubjectFull: Mental health surveys Type: general – SubjectFull: Air quality Type: general Titles: – TitleFull: Mental health consequences of urban air pollution: prospective population-based longitudinal survey. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bakolis, Ioannis – PersonEntity: Name: NameFull: Hammoud, Ryan – PersonEntity: Name: NameFull: Stewart, Robert – PersonEntity: Name: NameFull: Beevers, Sean – PersonEntity: Name: NameFull: Dajnak, David – PersonEntity: Name: NameFull: MacCrimmon, Shirlee – PersonEntity: Name: NameFull: Broadbent, Matthew – PersonEntity: Name: NameFull: Pritchard, Megan – PersonEntity: Name: NameFull: Shiode, Narushige – PersonEntity: Name: NameFull: Fecht, Daniela – PersonEntity: Name: NameFull: Gulliver, John – PersonEntity: Name: NameFull: Hotopf, Matthew – PersonEntity: Name: NameFull: Hatch, Stephani L. – PersonEntity: Name: NameFull: Mudway, Ian S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 09337954 Numbering: – Type: volume Value: 56 – Type: issue Value: 9 Titles: – TitleFull: Social Psychiatry & Psychiatric Epidemiology Type: main |
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