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Association of Gaseous Ambient Air Pollution and Dementia-Related Neuroimaging Markers in the ARIC Cohort, Comparing Exposure Estimation Methods and… — Europe PMC PMID:38922331

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/38922331
DOI: 10.1289/ehp13906
License (as archived): CC0-1.0
Archived: 2026-10-06T17:10:51.800Z
SHA-256 of the archived text: 892f4e5e9ce37e8ca405f8b4c7fa6424a53a3d07e497b8efbfe626176876f722
Stable URL of this page: https://metraipolis.com/documento/dc_bfc2c889bbbc

How to cite

Association of Gaseous Ambient Air Pollution and Dementia-Related Neuroimaging Markers in the ARIC Cohort, Comparing Exposure Estimation Methods and… — Europe PMC PMID:38922331 — Europe PMC (en), https://europepmc.org/article/MED/38922331 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bfc2c889bbbc (Metraipolis archive dc_bfc2c889bbbc, sha256 892f4e5e9ce37e8ca405f8b4c7fa6424a53a3d07e497b8efbfe626176876f722)

BibTeX

@misc{dcbfc2c889bbbc,
  title = {Association of Gaseous Ambient Air Pollution and Dementia-Related Neuroimaging Markers in the ARIC Cohort, Comparing Exposure Estimation Methods and… — Europe PMC PMID:38922331},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/38922331},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bfc2c889bbbc; sha256 892f4e5e9ce37e8ca405f8b4c7fa6424a53a3d07e497b8efbfe626176876f722},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/38922331. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Background: Evidence linking gaseous air pollution to late-life brain health is mixed. Objective: We explored associations between exposure to gaseous pollutants and brain magnetic resonance imaging (MRI) markers among Atherosclerosis Risk in Communities (ARIC) Study participants, with attention to the influence of exposure estimation method and confounding by site. Methods: We considered data from 1,665 eligible ARIC participants recruited from four US sites in the period 1987-1989 with valid brain MRI data from Visit 5 (2011-2013). We estimated 10-y (2001-2010) mean carbon monoxide (CO), nitrogen dioxide (NO2), nitrogen oxides (NOx), and 8- and 24-h ozone (O3) concentrations at participant addresses, using multiple exposure estimation methods. We estimated site-specific associations between pollutant exposures and brain MRI outcomes (total and regional volumes; presence of microhemorrhages, infarcts, lacunes, and severe white matter hyperintensities), using adjusted linear and logistic regression models. We compared meta-analytically combined site-specific associations to analyses that did not account for site. Results: Within-site exposure distributions varied across exposure estimation methods. Meta-analytic associations were generally not statistically significant regardless of exposure, outcome, or exposure estimation method; point estimates often suggested associations between higher NO2 and NOx and smaller temporal lobe, deep gray, hippocampal, frontal lobe, and Alzheimer disease signature region of interest volumes and between higher CO and smaller temporal and frontal lobe volumes. Analyses that did not account for study site more often yielded significant associations and sometimes different direction of associations. Discussion: Patterns of local variation in estimated air pollution concentrations differ by estimation method. Although we did not find strong evidence supporting impact of gaseous pollutants on brain changes detectable by MRI, point estimates suggested associations between higher exposure to CO, NOx, and NO2 and smaller regional brain volumes. Analyses of air pollution and dementia-related outcomes that do not adjust for location likely underestimate uncertainty and may be susceptible to confounding bias. https://doi.org/10.1289/EHP13906.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: Environmental health perspectives, 2024 (prima pubblicazione 2024-06-26).
Identificativi: PMID 38922331 · PMCID PMC11218707 · DOI 10.1289/ehp13906.
Descrittori MeSH principali: Dementia; Air Pollutants; Magnetic Resonance Imaging; Air Pollution; Environmental Exposure; Neuroimaging.
Pagina: https://europepmc.org/article/MED/38922331 — https://doi.org/10.1289/ehp13906. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-10-06T15:36:03.064Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.