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Fine particle sources and cognitive function in an older Puerto Rican cohort in Greater Boston
Abstract
Background: Puerto Ricans living in the mainland US have substantially higher rates of impairment to cognitive performance as compared to non-Hispanic Whites, with air pollutant exposures a potential risk factor. We investigated whether exposures to specific air pollution sources were associated with performance across several cognitive domains in a cohort of Puerto Rican older adults. Objectives: To investigate the association between sources of fine particulate matter (PM 2.5 ) and cognitive performance in each of five cognitive domains. Methods: We obtained demographic, health, and cognitive function data for 1500 elderly participants of the Boston Puerto Rican Health Study. Cognitive function was assessed in each of two waves for five domains: verbal memory, recognition, mental processing, and executive and visuospatial function. To these data, we linked concentrations of PM 2.5 and its components, black carbon (BC), nickel, sulfur, and silicon, as tracers for PM 2.5 from traffic, oil combustion, coal combustion, and resuspended dust, respectively. Associations between each PM 2.5 component and cognitive domain were examined using linear mixed models. Results: One year moving average exposures to BC were significantly associated with decreased verbal memory (−0.38; 95% confidence interval [CI] = −0.46, −0.30), recognition (−0.35; 95% CI = −0.46, −0.25), mental processing (−1.14; 95% CI = −1.55, −0.74), and executive function (−0.94; 95% CI = −1.31, −0.56). Similar associations were found for nickel. Associations for sulfur, and silicon, and PM 2.5 were generally null, although sulfur (−0.51; 95% CI = −0.75, −0.28), silicon (−0.25; 95% CI = −0.36, −0.13), and PM 2.5 (−0.35; 95% CI = −0.57, −0.12) were associated with decreased recognition. Conclusion: Long-term exposures to BC and nickel, tracers of traffic and oil combustion, respectively, were associated with decreased cognitive function across all domains, except visuospatial function.
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“Wurth et al. initiated an exploration into mixtures and PM constituents by fitting two-pollutant models and also evaluating metal constituents within PM2.5 (Wurth et al. 2018), but mixtures and PM constituents remain sparsely studied dimensions of air pollution and dementia risk.”
From Exposure to Air Pollution in Relation to Risk of Dementia and Related Outcomes: An Updated Systematic Review of the Epidemiological Literature (2021) · cites this paper as Wurth et al. 2018
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Midlife cardiovascular risk factors and risk of dementia in late life
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Weuve, J., Bennett, E. E., Ranker, L., Gianattasio, K. Z., Pedde, M., Adar, S. D., Yanosky, J. D., & Power, M. C. (2021) · Environmental Health Perspectives · doi:10.1289/ehp8716 · Cited by 209
Zhang, B., Weuve, J., Langa, K. M., D’Souza, J., Szpiro, A., Faul, J., Mendes de Leon, C., Gao, J., Kaufman, J. D., Sheppard, L., et al. (2023) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2023.3300 · Cited by 164
Metadata
- Authors
- Wurth, R., Kioumourtzoglou, M.-A., Tucker, K. L., Griffith, J., Manjourides, J., & Suh, H.
- Affiliations
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, Massachusetts
- Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts
- Venue
- Environmental Epidemiology
- Published
- 2018-09
- Volume
- 2
- Issue
- 3
- Pages
- e022
- ISSN
- 2474-7882
- PMC
- PMC6261496
- Cited by
- 38
- References
- 3
- Language
- en
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