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Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States
Growing evidence suggests that fine particulate matter (PM(2.5)) likely increases the risks of dementia, yet little is known about the relative contributions of different constituents. Here, we conducted a nationwide population-based cohort study (2000 to 2017) by integrating the Medicare Chronic Co...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910468/ https://www.ncbi.nlm.nih.gov/pubmed/36574646 http://dx.doi.org/10.1073/pnas.2211282119 |
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author | Shi, Liuhua Zhu, Qiao Wang, Yifan Hao, Hua Zhang, Haisu Schwartz, Joel Amini, Heresh van Donkelaar, Aaron Martin, Randall V. Steenland, Kyle Sarnat, Jeremy A. Caudle, W. Michael Ma, Tszshan Li, Haomin Chang, Howard H. Liu, Jeremiah Z. Wingo, Thomas Mao, Xiaobo Russell, Armistead G. Weber, Rodney J. Liu, Pengfei |
author_facet | Shi, Liuhua Zhu, Qiao Wang, Yifan Hao, Hua Zhang, Haisu Schwartz, Joel Amini, Heresh van Donkelaar, Aaron Martin, Randall V. Steenland, Kyle Sarnat, Jeremy A. Caudle, W. Michael Ma, Tszshan Li, Haomin Chang, Howard H. Liu, Jeremiah Z. Wingo, Thomas Mao, Xiaobo Russell, Armistead G. Weber, Rodney J. Liu, Pengfei |
author_sort | Shi, Liuhua |
collection | PubMed |
description | Growing evidence suggests that fine particulate matter (PM(2.5)) likely increases the risks of dementia, yet little is known about the relative contributions of different constituents. Here, we conducted a nationwide population-based cohort study (2000 to 2017) by integrating the Medicare Chronic Conditions Warehouse database and two independently sourced datasets of high-resolution PM(2.5) major chemical composition, including black carbon (BC), organic matter (OM), nitrate (NO(3)(−)), sulfate (SO(4)(2−)), ammonium (NH(4)(+)), and soil dust (DUST). To investigate the impact of long-term exposure to PM(2.5) constituents on incident all-cause dementia and Alzheimer’s disease (AD), hazard ratios for dementia and AD were estimated using Cox proportional hazards models, and penalized splines were used to evaluate potential nonlinear concentration–response (C-R) relationships. Results using two exposure datasets consistently indicated higher rates of incident dementia and AD for an increased exposure to PM(2.5) and its major constituents. An interquartile range increase in PM(2.5) mass was associated with a 6 to 7% increase in dementia incidence and a 9% increase in AD incidence. For different PM(2.5) constituents, associations remained significant for BC, OM, SO(4)(2−), and NH(4)(+) for both end points (even after adjustments of other constituents), among which BC and SO(4)(2−) showed the strongest associations. All constituents had largely linear C-R relationships in the low exposure range, but most tailed off at higher exposure concentrations. Our findings suggest that long-term exposure to PM(2.5) is significantly associated with higher rates of incident dementia and AD and that SO(4)(2−), BC, and OM related to traffic and fossil fuel combustion might drive the observed associations. |
format | Online Article Text |
id | pubmed-9910468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-99104682023-02-10 Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States Shi, Liuhua Zhu, Qiao Wang, Yifan Hao, Hua Zhang, Haisu Schwartz, Joel Amini, Heresh van Donkelaar, Aaron Martin, Randall V. Steenland, Kyle Sarnat, Jeremy A. Caudle, W. Michael Ma, Tszshan Li, Haomin Chang, Howard H. Liu, Jeremiah Z. Wingo, Thomas Mao, Xiaobo Russell, Armistead G. Weber, Rodney J. Liu, Pengfei Proc Natl Acad Sci U S A Social Sciences Growing evidence suggests that fine particulate matter (PM(2.5)) likely increases the risks of dementia, yet little is known about the relative contributions of different constituents. Here, we conducted a nationwide population-based cohort study (2000 to 2017) by integrating the Medicare Chronic Conditions Warehouse database and two independently sourced datasets of high-resolution PM(2.5) major chemical composition, including black carbon (BC), organic matter (OM), nitrate (NO(3)(−)), sulfate (SO(4)(2−)), ammonium (NH(4)(+)), and soil dust (DUST). To investigate the impact of long-term exposure to PM(2.5) constituents on incident all-cause dementia and Alzheimer’s disease (AD), hazard ratios for dementia and AD were estimated using Cox proportional hazards models, and penalized splines were used to evaluate potential nonlinear concentration–response (C-R) relationships. Results using two exposure datasets consistently indicated higher rates of incident dementia and AD for an increased exposure to PM(2.5) and its major constituents. An interquartile range increase in PM(2.5) mass was associated with a 6 to 7% increase in dementia incidence and a 9% increase in AD incidence. For different PM(2.5) constituents, associations remained significant for BC, OM, SO(4)(2−), and NH(4)(+) for both end points (even after adjustments of other constituents), among which BC and SO(4)(2−) showed the strongest associations. All constituents had largely linear C-R relationships in the low exposure range, but most tailed off at higher exposure concentrations. Our findings suggest that long-term exposure to PM(2.5) is significantly associated with higher rates of incident dementia and AD and that SO(4)(2−), BC, and OM related to traffic and fossil fuel combustion might drive the observed associations. National Academy of Sciences 2022-12-27 2023-01-03 /pmc/articles/PMC9910468/ /pubmed/36574646 http://dx.doi.org/10.1073/pnas.2211282119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Shi, Liuhua Zhu, Qiao Wang, Yifan Hao, Hua Zhang, Haisu Schwartz, Joel Amini, Heresh van Donkelaar, Aaron Martin, Randall V. Steenland, Kyle Sarnat, Jeremy A. Caudle, W. Michael Ma, Tszshan Li, Haomin Chang, Howard H. Liu, Jeremiah Z. Wingo, Thomas Mao, Xiaobo Russell, Armistead G. Weber, Rodney J. Liu, Pengfei Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States |
title | Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States |
title_full | Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States |
title_fullStr | Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States |
title_full_unstemmed | Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States |
title_short | Incident dementia and long-term exposure to constituents of fine particle air pollution: A national cohort study in the United States |
title_sort | incident dementia and long-term exposure to constituents of fine particle air pollution: a national cohort study in the united states |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910468/ https://www.ncbi.nlm.nih.gov/pubmed/36574646 http://dx.doi.org/10.1073/pnas.2211282119 |
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