Ambient Air Pollution Exposure and Cerebral White Matter Hyperintensities in Older Adults: A Cross-Sectional Analysis in the Three-City Montpellier Study.
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| Title: | Ambient Air Pollution Exposure and Cerebral White Matter Hyperintensities in Older Adults: A Cross-Sectional Analysis in the Three-City Montpellier Study. |
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| Authors: | Duchesne, Jeanne1, Carrière, Isabelle1, Artero, Sylvaine2, Brickman, Adam M.3, Maller, Jerome4,5, Meslin, Chantal6, Jie Chen7,8, Vienneau, Danielle9,10, de Hoogh, Kees9,10, Jacquemin, Bénédicte11, Berr, Claudine1, Mortamais, Marion1 marion.mortamais@inserm.fr |
| Source: | Environmental Health Perspectives. Oct2023, Vol. 131 Issue 10, p107013-1-107013-9. 9p. 1 Diagram, 4 Charts. |
| Subject Terms: | *Carbon analysis, *Air pollution, *Biomarkers, *Particulate matter, Nitrogen oxide analysis, Cerebrovascular disease diagnosis, Confidence intervals, Cross-sectional method, Mild cognitive impairment, Magnetic resonance imaging, White matter (Nerve tissue), Research funding, Descriptive statistics, Logistic regression analysis, Odds ratio, Old age |
| Geographic Terms: | France |
| Abstract: | BACKGROUND: Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive health, and this could be related to the effect of air pollution on vascular health. OBJECTIVE: We aim to evaluate the association between air pollution exposure and a magnetic resonance imaging (MRI) marker of cerebral vascular burden, white matter hyperintensities (WMH). METHODS: This cross-sectional analysis used data from the French Three-City Montpellier study. Randomly selected participants 65–80 years of age underwent an MRI examination to estimate their total and regional cerebral WMH volumes. Exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2), and black carbon (BC) at the participants’ residential address during the 5 years before the MRI examination was estimated with land use regression models. Multinomial and binomial logistic regression assessed the associations between exposure to each of the three pollutants and categories of total and lobar WMH volumes. RESULTS: Participants’ (푛=582) median age at MRI was 70.7 years [interquartile range (IQR): 6.1], and 52% (푛=300) were women. Median exposure to air pollution over the 5 years before MRI acquisition was 24.3 (IQR: 1.7) μg/m³ for PM2.5, 48.9 (14.6) μg/m³ for NO2, and 2.66 (0.60) 10-5/m for BC. We found no significant association between exposure to the three air pollutants and total WMH volume. We found that PM2.5 exposure was significantly associated with higher risk of temporal lobe WMH burden [odds ratio (OR) for an IQR increase=1.82 (95% confidence interval: 1.41, 2.36) for the second volume tercile, 2.04 (1.59, 2.61) for the third volume tercile, reference: first volume tercile]. Associations for other regional WMH volumes were inconsistent. CONCLUSION: In this population-based study in older adults, PM2.5 exposure was associated with increased risk of high WMH volume in the temporal lobe, strengthening the evidence on PM2.5 adverse effect on the brain. Further studies looking at different markers of cerebrovascular damage are still needed to document the potential vascular effects of air pollution [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences 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.) | |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 173464135 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Ambient Air Pollution Exposure and Cerebral White Matter Hyperintensities in Older Adults: A Cross-Sectional Analysis in the Three-City Montpellier Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Duchesne%2C+Jeanne%22">Duchesne, Jeanne</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Carrière%2C+Isabelle%22">Carrière, Isabelle</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Artero%2C+Sylvaine%22">Artero, Sylvaine</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Brickman%2C+Adam+M%2E%22">Brickman, Adam M.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Maller%2C+Jerome%22">Maller, Jerome</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Meslin%2C+Chantal%22">Meslin, Chantal</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Jie+Chen%22">Jie Chen</searchLink><relatesTo>7,8</relatesTo><br /><searchLink fieldCode="AR" term="%22Vienneau%2C+Danielle%22">Vienneau, Danielle</searchLink><relatesTo>9,10</relatesTo><br /><searchLink fieldCode="AR" term="%22de+Hoogh%2C+Kees%22">de Hoogh, Kees</searchLink><relatesTo>9,10</relatesTo><br /><searchLink fieldCode="AR" term="%22Jacquemin%2C+Bénédicte%22">Jacquemin, Bénédicte</searchLink><relatesTo>11</relatesTo><br /><searchLink fieldCode="AR" term="%22Berr%2C+Claudine%22">Berr, Claudine</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mortamais%2C+Marion%22">Mortamais, Marion</searchLink><relatesTo>1</relatesTo><i> marion.mortamais@inserm.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Oct2023, Vol. 131 Issue 10, p107013-1-107013-9. 9p. 1 Diagram, 4 Charts. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Carbon+analysis%22">Carbon analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br />*<searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink><br /><searchLink fieldCode="DE" term="%22Nitrogen+oxide+analysis%22">Nitrogen oxide analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebrovascular+disease+diagnosis%22">Cerebrovascular disease diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Mild+cognitive+impairment%22">Mild cognitive impairment</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22White+matter+%28Nerve+tissue%29%22">White matter (Nerve tissue)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Old+age%22">Old age</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22France%22">France</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive health, and this could be related to the effect of air pollution on vascular health. OBJECTIVE: We aim to evaluate the association between air pollution exposure and a magnetic resonance imaging (MRI) marker of cerebral vascular burden, white matter hyperintensities (WMH). METHODS: This cross-sectional analysis used data from the French Three-City Montpellier study. Randomly selected participants 65–80 years of age underwent an MRI examination to estimate their total and regional cerebral WMH volumes. Exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2), and black carbon (BC) at the participants’ residential address during the 5 years before the MRI examination was estimated with land use regression models. Multinomial and binomial logistic regression assessed the associations between exposure to each of the three pollutants and categories of total and lobar WMH volumes. RESULTS: Participants’ (푛=582) median age at MRI was 70.7 years [interquartile range (IQR): 6.1], and 52% (푛=300) were women. Median exposure to air pollution over the 5 years before MRI acquisition was 24.3 (IQR: 1.7) μg/m³ for PM2.5, 48.9 (14.6) μg/m³ for NO2, and 2.66 (0.60) 10-5/m for BC. We found no significant association between exposure to the three air pollutants and total WMH volume. We found that PM2.5 exposure was significantly associated with higher risk of temporal lobe WMH burden [odds ratio (OR) for an IQR increase=1.82 (95% confidence interval: 1.41, 2.36) for the second volume tercile, 2.04 (1.59, 2.61) for the third volume tercile, reference: first volume tercile]. Associations for other regional WMH volumes were inconsistent. CONCLUSION: In this population-based study in older adults, PM2.5 exposure was associated with increased risk of high WMH volume in the temporal lobe, strengthening the evidence on PM2.5 adverse effect on the brain. Further studies looking at different markers of cerebrovascular damage are still needed to document the potential vascular effects of air pollution [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1289/EHP12231 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 107013-1 Subjects: – SubjectFull: Carbon analysis Type: general – SubjectFull: Air pollution Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Particulate matter Type: general – SubjectFull: Nitrogen oxide analysis Type: general – SubjectFull: Cerebrovascular disease diagnosis Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Mild cognitive impairment Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: White matter (Nerve tissue) Type: general – SubjectFull: Research funding Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Old age Type: general – SubjectFull: France Type: general Titles: – TitleFull: Ambient Air Pollution Exposure and Cerebral White Matter Hyperintensities in Older Adults: A Cross-Sectional Analysis in the Three-City Montpellier Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Duchesne, Jeanne – PersonEntity: Name: NameFull: Carrière, Isabelle – PersonEntity: Name: NameFull: Artero, Sylvaine – PersonEntity: Name: NameFull: Brickman, Adam M. – PersonEntity: Name: NameFull: Maller, Jerome – PersonEntity: Name: NameFull: Meslin, Chantal – PersonEntity: Name: NameFull: Jie Chen – PersonEntity: Name: NameFull: Vienneau, Danielle – PersonEntity: Name: NameFull: de Hoogh, Kees – PersonEntity: Name: NameFull: Jacquemin, Bénédicte – PersonEntity: Name: NameFull: Berr, Claudine – PersonEntity: Name: NameFull: Mortamais, Marion IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 131 – Type: issue Value: 10 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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