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Zhang T, Liu W, Yang T, Zhai Y, Gu X, Xu L, Li F, Wu M, Lin J. Association between ambient fine particular matter components and subsequent cognitive impairment in community-dwelling older people: a prospective cohort study from eastern China. Aging Clin Exp Res 2024; 36:150. [PMID: 39060791 PMCID: PMC11282123 DOI: 10.1007/s40520-024-02793-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 06/19/2024] [Indexed: 07/28/2024]
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.
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Affiliation(s)
- Tao Zhang
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Wenfeng Liu
- Office, Changshan Center for Disease Control and Prevention, Quzhou, Zhejiang, China
| | - Tao Yang
- Office, Yuhang Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yujia Zhai
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xue Gu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Le Xu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Fudong Li
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Mengna Wu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Junfen Lin
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
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Gong Y, Zhang X, Zhao X, Chang H, Zhang J, Gao Z, Mi Y, Chen Y, Zhang H, Huang C, Yu Z. Global ambient particulate matter pollution and neurodegenerative disorders: a systematic review of literature and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:39418-39430. [PMID: 36763275 DOI: 10.1007/s11356-023-25731-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Previous studies on particulate matter (PM) exposure and neurodegenerative disorders showed inconsistent results, and few studies systematically examined the long-term effect of PM on neurodegenerative diseases, including all-cause dementia, Alzheimer's disease, Parkinson's disease, vascular dementia, amyotrophic lateral sclerosis, and cognitive function decline. We systematically searched for published studies in PubMed, Embase, Cochrane Library, and Web of Science up to October 31, 2022. To facilitate a comparison of effect sizes from different studies, we standardized units across studies to a 10 μg/m3 increase for PM. Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression, and sensitivity analysis were performed. The protocol for this review was registered with PROSPERO (CRD42021277112). Of the 3403 originally identified studies, a meta-analysis was finally performed in 49 studies. The results showed that there was a significant positive association between long-term PM2.5 exposure and all-cause dementia, Alzheimer's disease as well as Parkinson's disease, with pooled OR of 1.30 (95%CI: 1.14, 1.47, I2 = 99.3%), 1.65 (95%CI: 1.37, 1.94, I2 = 98.2%), and 1.17 (95%CI: 1.00, 1.33, I2 = 91.8%). A positive association between PM10 and vascular dementia was observed (OR = 1.12, 95%CI: 1.04, 1.21, I2 = 0.0%). Association between PM exposure and decreased cognitive function score was found. Our results highlight the important role of PM pollution, particularly PM2.5, in the risk of age-related neurodegenerative diseases and cognitive function decline.
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Affiliation(s)
- Yuting Gong
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yang Mi
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yao Chen
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.,NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
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