Association of Tailpipe-Related and Nontailpipe-Related Air Pollution Exposure with Cognitive Decline in the Chicago Health and Aging Project.
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| Title: | Association of Tailpipe-Related and Nontailpipe-Related Air Pollution Exposure with Cognitive Decline in the Chicago Health and Aging Project. |
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| Authors: | Andrews, Ryan M.1 ryana@bu.edu, Adar, Sara D.2, Szpiro, Adam A.3, Kaufman, Joel D.4,5,6, Christopher, Cami N.7, Beck, Todd L.8, Dhana, Klodian8, Wilson, Robert S.9, Rajan, Kumar B.8, Evans, Denis8, Weuve, Jennifer1 |
| Source: | Environmental Health Perspectives. Dec2024, Vol. 132 Issue 12, p127002-1-127002-13. 13p. |
| Subject Terms: | *Air pollution, *Automobile emissions, *Environmental exposure, *Oxides, *Particulate matter, Zinc analysis, Copper analysis, Dementia risk factors, Cognition disorder risk factors, Statistical models, Cognitive testing, Prediction models, Data analysis, Research funding, Interviewing, Cognitive processing speed, Episodic memory, Residential patterns, Logistic regression analysis, Probability theory, Questionnaires, Multivariate analysis, Research bias, Statistics, Confidence intervals, Data analysis software, Psychological tests, Patient aftercare, Sensitivity & specificity (Statistics), Old age |
| Geographic Terms: | Illinois |
| Abstract: | BACKGROUND: Evidence suggests that long-term exposure to air pollution may increase the risk of dementia and related cognitive outcomes. A major source of air pollution is automotive traffic, which is modifiable by technological and regulatory interventions. OBJECTIVES: We examined associations of four traffic-related air pollutants with rates of cognitive decline in a cohort of older adults. METHODS: We analyzed data from the Chicago Health and Aging Project (CHAP), a longitudinal (1993-2012) community-based cohort study of older adults that included repeated assessments of participants' cognitive performance. Leveraging previously developed air pollution models, we predicted participant-level exposures to the tailpipe pollutants oxides of nitrogen (NOX) and nitrogen dioxide (NO2), plus the nontailpipe pollutants copper and zinc found in coarse particulate matter [PM with aerodynamic diameter 2.5μm to 10μm (PM2.5-10,Cu) and PM2.5-10,Zn, respectively], over the 3 y prior to each participant's baseline assessment. Using generalized estimating equations, we estimated covariate-adjusted associations of each pollutant with rates of cognitive decline. We probed the robustness of our results via several sensitivity analyses, including alterations to the length of the exposure assessment window and exploring the influence of pre- and post-baseline selection bias. RESULTS: Using data from 6,061 participants, estimated associations of these pollutant exposures with cognitive decline were largely inconsistent with large adverse effects. For example, a standard deviation (5.8 ppb) increment in NOX corresponded to a slightly slower rate of cognitive decline [e.g., mean difference in change in global score, 0.010 standard unit/5 y, 95% confidence interval (CI): -0.016, 0.036]. The results of most of our sensitivity analyses were in generally similar to those of our main analyses, but our prebaseline selection bias results suggest that our analytic results may have been influenced by differential survivorship into our study sample. DISCUSSION: In this large prospective cohort study, we did not observe compelling evidence that long-term TRAP exposure is associated with cognitive decline. [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: 182198769 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Association of Tailpipe-Related and Nontailpipe-Related Air Pollution Exposure with Cognitive Decline in the Chicago Health and Aging Project. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Andrews%2C+Ryan+M%2E%22">Andrews, Ryan M.</searchLink><relatesTo>1</relatesTo><i> ryana@bu.edu</i><br /><searchLink fieldCode="AR" term="%22Adar%2C+Sara+D%2E%22">Adar, Sara D.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Szpiro%2C+Adam+A%2E%22">Szpiro, Adam A.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kaufman%2C+Joel+D%2E%22">Kaufman, Joel D.</searchLink><relatesTo>4,5,6</relatesTo><br /><searchLink fieldCode="AR" term="%22Christopher%2C+Cami+N%2E%22">Christopher, Cami N.</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Beck%2C+Todd+L%2E%22">Beck, Todd L.</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Dhana%2C+Klodian%22">Dhana, Klodian</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Wilson%2C+Robert+S%2E%22">Wilson, Robert S.</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AR" term="%22Rajan%2C+Kumar+B%2E%22">Rajan, Kumar B.</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Evans%2C+Denis%22">Evans, Denis</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Weuve%2C+Jennifer%22">Weuve, Jennifer</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Dec2024, Vol. 132 Issue 12, p127002-1-127002-13. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Automobile+emissions%22">Automobile emissions</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+exposure%22">Environmental exposure</searchLink><br />*<searchLink fieldCode="DE" term="%22Oxides%22">Oxides</searchLink><br />*<searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink><br /><searchLink fieldCode="DE" term="%22Zinc+analysis%22">Zinc analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Copper+analysis%22">Copper analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Dementia+risk+factors%22">Dementia risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorder+risk+factors%22">Cognition disorder risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+testing%22">Cognitive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+processing+speed%22">Cognitive processing speed</searchLink><br /><searchLink fieldCode="DE" term="%22Episodic+memory%22">Episodic memory</searchLink><br /><searchLink fieldCode="DE" term="%22Residential+patterns%22">Residential patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+bias%22">Research bias</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+tests%22">Psychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+aftercare%22">Patient aftercare</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+%26+specificity+%28Statistics%29%22">Sensitivity & specificity (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Old+age%22">Old age</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Illinois%22">Illinois</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Evidence suggests that long-term exposure to air pollution may increase the risk of dementia and related cognitive outcomes. A major source of air pollution is automotive traffic, which is modifiable by technological and regulatory interventions. OBJECTIVES: We examined associations of four traffic-related air pollutants with rates of cognitive decline in a cohort of older adults. METHODS: We analyzed data from the Chicago Health and Aging Project (CHAP), a longitudinal (1993-2012) community-based cohort study of older adults that included repeated assessments of participants' cognitive performance. Leveraging previously developed air pollution models, we predicted participant-level exposures to the tailpipe pollutants oxides of nitrogen (NOX) and nitrogen dioxide (NO2), plus the nontailpipe pollutants copper and zinc found in coarse particulate matter [PM with aerodynamic diameter 2.5μm to 10μm (PM2.5-10,Cu) and PM2.5-10,Zn, respectively], over the 3 y prior to each participant's baseline assessment. Using generalized estimating equations, we estimated covariate-adjusted associations of each pollutant with rates of cognitive decline. We probed the robustness of our results via several sensitivity analyses, including alterations to the length of the exposure assessment window and exploring the influence of pre- and post-baseline selection bias. RESULTS: Using data from 6,061 participants, estimated associations of these pollutant exposures with cognitive decline were largely inconsistent with large adverse effects. For example, a standard deviation (5.8 ppb) increment in NOX corresponded to a slightly slower rate of cognitive decline [e.g., mean difference in change in global score, 0.010 standard unit/5 y, 95% confidence interval (CI): -0.016, 0.036]. The results of most of our sensitivity analyses were in generally similar to those of our main analyses, but our prebaseline selection bias results suggest that our analytic results may have been influenced by differential survivorship into our study sample. DISCUSSION: In this large prospective cohort study, we did not observe compelling evidence that long-term TRAP exposure is associated with cognitive decline. [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/EHP14585 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 127002-1 Subjects: – SubjectFull: Air pollution Type: general – SubjectFull: Automobile emissions Type: general – SubjectFull: Environmental exposure Type: general – SubjectFull: Oxides Type: general – SubjectFull: Particulate matter Type: general – SubjectFull: Zinc analysis Type: general – SubjectFull: Copper analysis Type: general – SubjectFull: Dementia risk factors Type: general – SubjectFull: Cognition disorder risk factors Type: general – SubjectFull: Statistical models Type: general – SubjectFull: Cognitive testing Type: general – SubjectFull: Prediction models Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Interviewing Type: general – SubjectFull: Cognitive processing speed Type: general – SubjectFull: Episodic memory Type: general – SubjectFull: Residential patterns Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Research bias Type: general – SubjectFull: Statistics Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Psychological tests Type: general – SubjectFull: Patient aftercare Type: general – SubjectFull: Sensitivity & specificity (Statistics) Type: general – SubjectFull: Old age Type: general – SubjectFull: Illinois Type: general Titles: – TitleFull: Association of Tailpipe-Related and Nontailpipe-Related Air Pollution Exposure with Cognitive Decline in the Chicago Health and Aging Project. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Andrews, Ryan M. – PersonEntity: Name: NameFull: Adar, Sara D. – PersonEntity: Name: NameFull: Szpiro, Adam A. – PersonEntity: Name: NameFull: Kaufman, Joel D. – PersonEntity: Name: NameFull: Christopher, Cami N. – PersonEntity: Name: NameFull: Beck, Todd L. – PersonEntity: Name: NameFull: Dhana, Klodian – PersonEntity: Name: NameFull: Wilson, Robert S. – PersonEntity: Name: NameFull: Rajan, Kumar B. – PersonEntity: Name: NameFull: Evans, Denis – PersonEntity: Name: NameFull: Weuve, Jennifer IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 132 – Type: issue Value: 12 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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