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Ambient air pollution and depression: A systematic review with meta-analysis up to 2019.
Sci. Total Environ. 701:134721 (2020)
Although epidemiological studies have evaluated the associations of ambient air pollution with depression, the results remained mixed. To clarify the nature of the association, we performed a comprehensive systematic review and meta-analysis with the Inverse Variance Heterogeneity (IVhet) model to estimate the effect of ambient air pollution on depression. Three English and four Chinese databases were searched for epidemiologic studies investigating associations of ambient particulate (diameter <= 2.5 mu m (PM2.5), <= 10 mu m (PM10)) and gaseous (nitric oxide (NO), nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2) and ozone (O-3)) air pollutants with depression. Odds ratios (OR) and corresponding 95% confidence intervals (CI) were calculated to evaluate the strength of the associations. We identified 22 eligible studies from 10 countries of the world. Under the IVhet model, per 10 mu g/m(3) increase in long-term exposure to PM2.5 (OR: 1.12, 95% CI: 0.97-1.29, I-2: 51.6), PM10 (OR: 1.04, 95% CI: 0.88-1.25, I-2: 85.7), and NO2 (OR: 1.05, 95% CI: 0.83-1.34, I-2: 83.6), as well as short-term exposure to PM2.5 (OR: 1.01, 95% CI: 0.99-1.04, I-2: 51.6), PM10 (OR: 1.01, 95% CI: 0.98-1.04, I-2: 86.7), SO2 (OR: 1.03, 95% CI: 0.99-1.07, I-2: 71.2), and O-3 (OR: 1.01, 95% CI: 0.99-1.03, I-2: 82.2) was not significantly associated with depression. However, we observed significant association between short-term NO2 exposure (per 10 mu g/m(3) increase) and depression (OR: 1.02, 95% CI: 1.00-1.04, I-2: 65.4). However, the heterogeneity was high for all of the pooled estimates, which reduced credibility of the cumulative evidence. Additionally, publication bias was detected for six of eight meta-estimates. In conclusion, short-term exposure to NO2, but not other air pollutants, was significantly associated with depression. Given the limitations, a larger meta-analysis incorporating future well-designed longitudinal studies, and investigations into potential biologic mechanisms, will be necessary for a more definitive result.
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Publication type
Article: Journal article
Document type
Review
Keywords
Particulate Matter ; Gaseous Pollutants ; Depressive Disorder ; Random Effects Model ; Inverse Variance Heterogeneity (ivhet) Model; Emergency-department Visits; Long-term Exposure; Quality-of-life; Particulate Matter; Mental-disorders; Oxidative Stress; Diabetes-mellitus; Health; Association; Disease
Language
english
Publication Year
2020
Prepublished in Year
2019
HGF-reported in Year
2019
ISSN (print) / ISBN
0048-9697
e-ISSN
1879-1026
Quellenangaben
Volume: 701,
Article Number: 134721
Publisher
Elsevier
Publishing Place
Radarweg 29, 1043 Nx Amsterdam, Netherlands
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology (EPI)
POF-Topic(s)
30202 - Environmental Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504000-008
WOS ID
WOS:000498801400003
Scopus ID
85074718842
PubMed ID
31715478
Erfassungsdatum
2019-11-25