Source-Specific Air Pollution and Loss of Independence in Older Adults Across the US.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
03 Jun 2024
Historique:
medline: 28 6 2024
pubmed: 28 6 2024
entrez: 28 6 2024
Statut: epublish

Résumé

Air pollution is a recognized risk factor associated with chronic diseases, including respiratory and cardiovascular conditions, which can lead to physical and cognitive impairments in later life. Although these losses of function, individually or in combination, reduce individuals' likelihood of living independently, little is known about the association of air pollution with this critical outcome. To investigate associations between air pollution and loss of independence in later life. This cohort study was conducted as part of the Environmental Predictors Of Cognitive Health and Aging study and used 1998 to 2016 data from the Health and Retirement Study. Participants included respondents from this nationally representative, population-based cohort who were older than 50 years and had not previously reported a loss of independence. Analyses were performed from August 31 to October 15, 2023. Mean 10-year pollutant concentrations (particulate matter less than 2.5 μm in diameter [PM2.5] or ranging from 2.5 μm to 10 μm in diameter [PM10-2.5], nitrogen dioxide [NO2], and ozone [O3]) were estimated at respondent addresses using spatiotemporal models along with PM2.5 levels from 9 emission sources. Loss of independence was defined as newly receiving care for at least 1 activity of daily living or instrumental activity of daily living due to health and memory problems or moving to a nursing home. Associations were estimated with generalized estimating equation regression adjusting for potential confounders. Among 25 314 respondents older than 50 years (mean [SD] baseline age, 61.1 [9.4] years; 11 208 male [44.3%]), 9985 individuals (39.4%) experienced lost independence during a mean (SD) follow-up of 10.2 (5.5) years. Higher exposure levels of mean concentration were associated with increased risks of lost independence for total PM2.5 levels (risk ratio [RR] per 1-IQR of 10-year mean, 1.05; 95% CI, 1.01-1.10), PM2.5 levels from road traffic (RR per 1-IQR of 10-year mean, 1.09; 95% CI, 1.03-1.16) and nonroad traffic (RR per 1-IQR of 10-year mean, 1.13; 95% CI, 1.03-1.24), and NO2 levels (RR per 1-IQR of 10-year mean, 1.05; 95% CI, 1.01-1.08). Compared with other sources, traffic-generated pollutants were most consistently and robustly associated with loss of independence; only road traffic-related PM2.5 levels remained associated with increased risk after adjustment for PM2.5 from other sources (RR per 1-IQR increase in 10-year mean concentration, 1.10; 95% CI, 1.00-1.21). Other pollutant-outcome associations were null, except for O3 levels, which were associated with lower risks of lost independence (RR per 1-IQR increase in 10-year mean concentration, 0.94; 95% CI, 0.92-0.97). This study found that long-term exposure to air pollution was associated with the need for help for lost independence in later life, with especially large and consistent increases in risk for pollution generated by traffic-related sources. These findings suggest that controlling air pollution could be associated with diversion or delay of the need for care and prolonged ability to live independently.

Identifiants

pubmed: 38941096
pii: 2820559
doi: 10.1001/jamanetworkopen.2024.18460
doi:

Substances chimiques

Particulate Matter 0
Air Pollutants 0
Ozone 66H7ZZK23N
Nitrogen Dioxide S7G510RUBH

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2418460

Auteurs

Boya Zhang (B)

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

Carlos F Mendes de Leon (CF)

Department of Oncology, Georgetown University, Washington, District of Columbia.

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 Weuve (J)

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

Adam Szpiro (A)

Department of Biostatistics, University of Washington, Seattle.

Jessica Faul (J)

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

Jennifer D'Souza (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.

Richard A Hirth (RA)

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

Lynda D Lisabeth (LD)

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

Jiaqi Gao (J)

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

Sara D Adar (SD)

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

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Classifications MeSH