Associations between Individual Exposure to Fine Particulate Matter Elemental Constituent Mixtures and Blood Lipid Profiles: A Panel Study in Chinese People Aged 60–69 Years
2022
Wang, Jiaonan | Li, Tiantian | Fang, Jianlong | Tang, Song | Zhang, Yi | Deng, Fuchang | Shen, Chong | Shi, Wanying | Liu, Yuanyuan | Chen, Chen | Sun, Qinghua | Wang, Yanwen | Du, Yanjun | Dong, Haoran | Shi, Xiaoming
Dyslipidemia may be a potential mechanism linking fine particulate matter (PM₂.₅) to adverse cardiovascular outcomes. However, inconsistent associations between PM₂.₅ and blood lipids have resulted from the existing research, and the joint effect of PM₂.₅ elemental constituents on blood lipid profiles remains unclear. We aimed to explore the overall associations between PM₂.₅ elemental constituents and blood lipid profiles and to identify the significant PM₂.₅ elemental constituents in this association. Sixty-nine elderly people were recruited between September 2018 and January 2019. Each participant completed a survey questionnaire, 3 days of individual exposure monitoring, health examination, and biological sample collection at each follow-up visit. Bayesian kernel machine regression (BKMR) models were used to identify the joint effects of the 17 elemental constituents on blood lipid profiles. Total cholesterol, low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C) levels were significantly increased in older adults when exposed to the mixture of PM₂.₅ elemental constituents. Copper and titanium had higher posterior inclusion probabilities than other constituents, ranging from 0.76 to 0.90 (Cu) and 0.74 to 0.94 (Ti). Copper and titanium in the PM₂.₅ elemental constituent mixture played an essential role in changes to blood lipid levels. This study highlights the importance of identifying critical hazardous PM₂.₅ constituents that may cause adverse cardiovascular outcomes in the future.
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