Association between ambient fine particular matter components and subsequent cognitive impairment in community-dwelling older people: a prospective cohort study from eastern China
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Published:2024-07-26
Issue:1
Volume:36
Page:
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ISSN:1720-8319
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Container-title:Aging Clinical and Experimental Research
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language:en
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Short-container-title:Aging Clin Exp Res
Author:
Zhang Tao,Liu Wenfeng,Yang Tao,Zhai Yujia,Gu Xue,Xu Le,Li Fudong,Wu Mengna,Lin Junfen
Abstract
Abstract
Background
Fine particular matter (PM2.5) has been associated with dementia, but limited information is available regarding the association between PM2.5 components and dementia.
Aims
We aimed to identify the major components of PM2.5 that affect cognitive function to further investigate its mechanism of action, and develop a prevention strategy for dementia.
Methods
In this study, we included 7804 participants aged ≥ 60 years recruited from seven counties in Zhejiang province, eastern China. The participants completed the baseline survey between 2014 and 2015, and were followed up until the end of 2020. We adopted single-component robust Poisson regression models for analyses, and estimated relative risks and 95% confidence intervals describing associations between the chemical constituents of PM2.5 exposure and incident cognitive impairment in those who were free from cognitive impairment at baseline.
Results
Significantly positive associations were observed between sulfate, nitrate, ammonium, and organic matter in PM2.5 and incident cognitive impairment across different exposure periods; the relative risks of 10-year exposure before enrollment ranged from 1.01 to 1.02. However, we did not find a significant association between black carbon and cognitive impairment. The point estimates of the relative risk values did not change substantially after performing the sensitivity analyses.
Conclusions
Our findings strengthen the idea that long-term exposure to PM2.5 mass and its chemical components is associated with an elevated risk of incident cognitive impairment among older adults.
Funder
Zhejiang Provincial Public Welfare Technology Application Research Project of China Medical Health Science and Technology Project of Zhejiang Provincial Health Commission Science and Technology Project of Quzhou
Publisher
Springer Science and Business Media LLC
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