Long-term exposure to major constituents of fine particulate matter and neurodegenerative diseases: A population-based survey in the Pearl River Delta Region, China

被引:3
|
作者
Wu, Qi-Zhen [1 ]
Zeng, Hui-Xian [1 ]
Andersson, John [2 ]
Oudin, Anna [3 ]
Kanninen, Katja M. [4 ]
Xu, Mu-Wu [5 ]
Qin, Shuang-Jian [1 ]
Zeng, Qing-Guo [1 ]
Zhao, Bin [6 ,7 ]
Zheng, Mei [8 ]
Jin, Nanxiang [4 ]
Chou, Wei-Chun [9 ]
Jalava, Pasi [10 ]
Dong, Guang-Hui [1 ]
Zeng, Xiao-Wen [1 ,11 ]
机构
[1] Sun Yat Sen Univ, Guangdong Prov Engn Technol Res Ctr Environm Pollu, Sch Publ Hlth, Dept Occupat & Environm Hlth,Minist Educ,Joint Int, Guangzhou 510080, Peoples R China
[2] Umea Univ, Dept Psychol, Umea, Sweden
[3] Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden
[4] Univ Eastern Finland, AI Virtanen Inst Mol Sci, Kuopio, Finland
[5] Univ Buffalo, Sch Publ & Hlth Profess, Dept Epidemiol & Environm Hlth, Buffalo, NY 14214 USA
[6] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100084, Peoples R China
[7] State Environm Protect Key Lab Sources & Control A, Beijing 100084, Peoples R China
[8] Peking Univ, Coll Environm Sci & Engn, Ctr Environm & Hlth, SKL ESPC, Beijing, Peoples R China
[9] Univ Florida, Coll Publ Hlth & Hlth Profess, Ctr Environm & Human Toxicol, Dept Environm & Global Hlth, Gainesville, FL 32611 USA
[10] Univ Eastern Finland, Dept Environm & Biol Sci, Kuopio, Finland
[11] Sun Yat Sen Univ, Sch Publ Hlth, Dept Occupat & Environm Hlth,Guangdong Prov Engn T, Guangzhou Key Lab Environm Pollut & Hlth Risk Asse, 74 Zhongshan 2nd Rd, Guangzhou 510080, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2.5; constituent; Health risk; Alzheimer's disease; Parkinson's disease; China; AIR-POLLUTION; ALZHEIMERS-DISEASE; AMBIENT PM2.5; TRAFFIC NOISE; BLACK CARBON; HUMAN HEALTH; DEMENTIA; RISK;
D O I
10.1016/j.jhazmat.2024.134161
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Exposure to PM 2.5 has been linked to neurodegenerative diseases, with limited understanding of constituent -specific contributions. Objectives: To explore the associations between long-term exposure to PM 2.5 constituents and neurodegenerative diseases. Methods: We recruited 148,274 individuals aged >= 60 from four cities in the Pearl River Delta region, China (2020 to 2021). We calculated twenty-year average air pollutant concentrations (PM 2.5 mass, black carbon (BC), organic matter (OM), ammonium (NH 4 + ), nitrate (NO 3 - ) and sulfate (SO 4 2- )) at the individuals' home addresses. Neurodegenerative diseases were determined by self -reported doctor -diagnosed Alzheimer's disease (AD) and Parkinson's disease (PD). Generalized linear mixed models were employed to explore associations between pollutants and neurodegenerative disease prevalence. Results: PM 2.5 and all five constituents were significantly associated with a higher prevalence of AD and PD. The observed associations generally exhibited a non-linear pattern. For example, compared with the lowest quartile, higher quartiles of BC were associated with greater odds for AD prevalence (i.e., the adjusted odds ratios were 1.81; 95% CI, 1.45-2.27; 1.78; 95% CI, 1.37-2.32; and 1.99; 95% CI, 1.54-2.57 for the second, third, and fourth quartiles, respectively). Conclusions: Long-term exposure to PM 2.5 and its constituents, particularly combustion -related BC, OM, and SO 4 2- , was significantly associated with higher prevalence of AD and PD in Chinese individuals. Environmental implication: PM 2.5 is a routinely regulated mixture of multiple hazardous constituents that can lead to diverse adverse health outcomes. However, current evidence on the specific contributions of PM 2.5 constituents to health effects is scarce. This study firstly investigated the association between PM 2.5 constituents and neurodegenerative diseases in the moderately to highly polluted Pearl River Delta region in China, and identified hazardous constituents within PM 2.5 that have significant impacts. This study provides important implications for the development of targeted PM 2.5 prevention and control policies to reduce specific hazardous PM 2.5 constituents.
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页数:10
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