Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US.


Journal

JAMA internal medicine
ISSN: 2168-6114
Titre abrégé: JAMA Intern Med
Pays: United States
ID NLM: 101589534

Informations de publication

Date de publication:
01 10 2023
Historique:
pmc-release: 14 08 2024
medline: 3 10 2023
pubmed: 14 8 2023
entrez: 14 8 2023
Statut: ppublish

Résumé

Emerging evidence indicates that exposure to fine particulate matter (PM2.5) air pollution may increase dementia risk in older adults. Although this evidence suggests opportunities for intervention, little is known about the relative importance of PM2.5 from different emission sources. To examine associations of long-term exposure of total and source-specific PM2.5 with incident dementia in older adults. The Environmental Predictors of Cognitive Health and Aging study used biennial survey data from January 1, 1998, to December 31, 2016, for participants in the Health and Retirement Study, which is a nationally representative, population-based cohort study in the US. The present cohort study included all participants older than 50 years who were without dementia at baseline and had available exposure, outcome, and demographic data between 1998 and 2016 (N = 27 857). Analyses were performed from January 31 to May 1, 2022. The 10-year mean total PM2.5 and PM2.5 from 9 emission sources at participant residences for each month during follow-up using spatiotemporal and chemical transport models. The main outcome was incident dementia as classified by a validated algorithm incorporating respondent-based cognitive testing and proxy respondent reports. Adjusted hazard ratios (HRs) were estimated for incident dementia per IQR of residential PM2.5 concentrations using time-varying, weighted Cox proportional hazards regression models with adjustment for the individual- and area-level risk factors. Among 27 857 participants (mean [SD] age, 61 [10] years; 15 747 [56.5%] female), 4105 (15%) developed dementia during a mean (SD) follow-up of 10.2 [5.6] years. Higher concentrations of total PM2.5 were associated with greater rates of incident dementia (HR, 1.08 per IQR; 95% CI, 1.01-1.17). In single pollutant models, PM2.5 from all sources, except dust, were associated with increased rates of dementia, with the strongest associations for agriculture, traffic, coal combustion, and wildfires. After control for PM2.5 from all other sources and copollutants, only PM2.5 from agriculture (HR, 1.13; 95% CI, 1.01-1.27) and wildfires (HR, 1.05; 95% CI, 1.02-1.08) were robustly associated with greater rates of dementia. In this cohort study, higher residential PM2.5 levels, especially from agriculture and wildfires, were associated with higher rates of incident dementia, providing further evidence supporting PM2.5 reduction as a population-based approach to promote healthy cognitive aging. These findings also indicate that intervening on key emission sources might have value, although more research is needed to confirm these findings.

Identifiants

pubmed: 37578757
pii: 2808088
doi: 10.1001/jamainternmed.2023.3300
pmc: PMC10425875
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0
Dust 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1080-1089

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES007033
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG009740
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG030153
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES028694
Pays : United States

Auteurs

Boya Zhang (B)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor.

Jennifer Weuve (J)

Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.

Kenneth M Langa (KM)

Institute for Social Research, University of Michigan, Ann Arbor.
University of Michigan Medical School, Ann Arbor.
Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan.

Jennifer D'Souza (J)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor.

Adam Szpiro (A)

Department of Biostatistics, University of Washington, Seattle.

Jessica Faul (J)

Institute for Social Research, University of Michigan, Ann Arbor.

Carlos Mendes de Leon (C)

Department of Oncology, Georgetown University, Washington, DC.

Jiaqi Gao (J)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor.

Joel D Kaufman (JD)

Department of Epidemiology, University of Washington, Seattle.
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle.
Department of Medicine, University of Washington, Seattle.

Lianne Sheppard (L)

Department of Biostatistics, University of Washington, Seattle.
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle.

Jinkook Lee (J)

Center for Economic and Social Research, University of Southern California, Los Angeles.

Lindsay C Kobayashi (LC)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor.

Richard Hirth (R)

Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor.
Department of Internal Medicine, University of Michigan, Ann Arbor.

Sara D Adar (SD)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor.

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