Traffic-related air pollution and dementia incidence in the Adult Changes in Thought Study.

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Title: Traffic-related air pollution and dementia incidence in the Adult Changes in Thought Study.
Authors: Blanco, Magali N.1 (AUTHOR) magali@uw.edu, Shaffer, Rachel M.1 (AUTHOR), Li, Ge2,3,4 (AUTHOR), Adar, Sara D.5 (AUTHOR), Carone, Marco6 (AUTHOR), Szpiro, Adam A.6 (AUTHOR), Kaufman, Joel D.1,7,8 (AUTHOR), Larson, Timothy V.1,9 (AUTHOR), Hajat, Anjum7 (AUTHOR), Larson, Eric B.8 (AUTHOR), Crane, Paul K.8 (AUTHOR), Sheppard, Lianne1,6 (AUTHOR)
Source: Environment International. Jan2024, Vol. 183, pN.PAG-N.PAG. 1p.
Subjects: Air pollution, Dementia, Proportional hazards models
Geographic Terms: Seattle (Wash.), Western Australia
Abstract: • Focus: Dementia incidence and exposure to traffic-related air pollution (TRAP). • Study design: Community-based prospective cohort study in Seattle, WA, age 65+. • Exposure: predicted UFP, BC, and NO 2 from an extensive monitoring campaign. • Result: No evidence of a greater hazard of dementia incidence with TRAP exposures. • Conclude: Sensitivity and secondary analyses were in agreement; replication needed. While epidemiologic evidence links higher levels of exposure to fine particulate matter (PM 2.5) to decreased cognitive function, fewer studies have investigated links with traffic-related air pollution (TRAP), and none have examined ultrafine particles (UFP, ≤100 nm) and late-life dementia incidence. To evaluate associations between TRAP exposures (UFP, black carbon [BC], and nitrogen dioxide [NO 2 ]) and late-life dementia incidence. We ascertained dementia incidence in the Seattle-based Adult Changes in Thought (ACT) prospective cohort study (beginning in 1994) and assessed ten-year average TRAP exposures for each participant based on prediction models derived from an extensive mobile monitoring campaign. We applied Cox proportional hazards models to investigate TRAP exposure and dementia incidence using age as the time axis and further adjusting for sex, self-reported race, calendar year, education, socioeconomic status, PM 2.5 , and APOE genotype. We ran sensitivity analyses where we did not adjust for PM 2.5 and other sensitivity and secondary analyses where we adjusted for multiple pollutants, applied alternative exposure models (including total and size-specific UFP), modified the adjustment covariates, used calendar year as the time axis, assessed different exposure periods, dementia subtypes, and others. We identified 1,041 incident all-cause dementia cases in 4,283 participants over 37,102 person-years of follow-up. We did not find evidence of a greater hazard of late-life dementia incidence with elevated levels of long-term TRAP exposures. The estimated hazard ratio of all-cause dementia was 0.98 (95 % CI: 0.92–1.05) for every 2000 pt/cm3 increment in UFP, 0.95 (0.89–1.01) for every 100 ng/m3 increment in BC, and 0.96 (0.91–1.02) for every 2 ppb increment in NO 2. These findings were consistent across sensitivity and secondary analyses. We did not find evidence of a greater hazard of late-life dementia risk with elevated long-term TRAP exposures in this population-based prospective cohort study. [ABSTRACT FROM AUTHOR]
Copyright of Environment International is the property of Pergamon Press - An Imprint of Elsevier Science 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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  Data: Traffic-related air pollution and dementia incidence in the Adult Changes in Thought Study.
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  Data: <searchLink fieldCode="AR" term="%22Blanco%2C+Magali+N%2E%22">Blanco, Magali N.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> magali@uw.edu</i><br /><searchLink fieldCode="AR" term="%22Shaffer%2C+Rachel+M%2E%22">Shaffer, Rachel M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Ge%22">Li, Ge</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adar%2C+Sara+D%2E%22">Adar, Sara D.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carone%2C+Marco%22">Carone, Marco</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Szpiro%2C+Adam+A%2E%22">Szpiro, Adam A.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kaufman%2C+Joel+D%2E%22">Kaufman, Joel D.</searchLink><relatesTo>1,7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Larson%2C+Timothy+V%2E%22">Larson, Timothy V.</searchLink><relatesTo>1,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hajat%2C+Anjum%22">Hajat, Anjum</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Larson%2C+Eric+B%2E%22">Larson, Eric B.</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Crane%2C+Paul+K%2E%22">Crane, Paul K.</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sheppard%2C+Lianne%22">Sheppard, Lianne</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Environment+International%22">Environment International</searchLink>. Jan2024, Vol. 183, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Dementia%22">Dementia</searchLink><br /><searchLink fieldCode="DE" term="%22Proportional+hazards+models%22">Proportional hazards models</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Seattle+%28Wash%2E%29%22">Seattle (Wash.)</searchLink><br /><searchLink fieldCode="DE" term="%22Western+Australia%22">Western Australia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Focus: Dementia incidence and exposure to traffic-related air pollution (TRAP). • Study design: Community-based prospective cohort study in Seattle, WA, age 65+. • Exposure: predicted UFP, BC, and NO 2 from an extensive monitoring campaign. • Result: No evidence of a greater hazard of dementia incidence with TRAP exposures. • Conclude: Sensitivity and secondary analyses were in agreement; replication needed. While epidemiologic evidence links higher levels of exposure to fine particulate matter (PM 2.5) to decreased cognitive function, fewer studies have investigated links with traffic-related air pollution (TRAP), and none have examined ultrafine particles (UFP, ≤100 nm) and late-life dementia incidence. To evaluate associations between TRAP exposures (UFP, black carbon [BC], and nitrogen dioxide [NO 2 ]) and late-life dementia incidence. We ascertained dementia incidence in the Seattle-based Adult Changes in Thought (ACT) prospective cohort study (beginning in 1994) and assessed ten-year average TRAP exposures for each participant based on prediction models derived from an extensive mobile monitoring campaign. We applied Cox proportional hazards models to investigate TRAP exposure and dementia incidence using age as the time axis and further adjusting for sex, self-reported race, calendar year, education, socioeconomic status, PM 2.5 , and APOE genotype. We ran sensitivity analyses where we did not adjust for PM 2.5 and other sensitivity and secondary analyses where we adjusted for multiple pollutants, applied alternative exposure models (including total and size-specific UFP), modified the adjustment covariates, used calendar year as the time axis, assessed different exposure periods, dementia subtypes, and others. We identified 1,041 incident all-cause dementia cases in 4,283 participants over 37,102 person-years of follow-up. We did not find evidence of a greater hazard of late-life dementia incidence with elevated levels of long-term TRAP exposures. The estimated hazard ratio of all-cause dementia was 0.98 (95 % CI: 0.92–1.05) for every 2000 pt/cm3 increment in UFP, 0.95 (0.89–1.01) for every 100 ng/m3 increment in BC, and 0.96 (0.91–1.02) for every 2 ppb increment in NO 2. These findings were consistent across sensitivity and secondary analyses. We did not find evidence of a greater hazard of late-life dementia risk with elevated long-term TRAP exposures in this population-based prospective cohort study. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environment International is the property of Pergamon Press - An Imprint of Elsevier Science 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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      – Type: doi
        Value: 10.1016/j.envint.2024.108418
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Air pollution
        Type: general
      – SubjectFull: Dementia
        Type: general
      – SubjectFull: Proportional hazards models
        Type: general
      – SubjectFull: Seattle (Wash.)
        Type: general
      – SubjectFull: Western Australia
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              Text: Jan2024
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