中年人接触 PM2.5 及其化合物与颈动脉内膜中层厚度的关系。

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-12-10 Epub Date: 2024-10-31 DOI:10.1016/j.scitotenv.2024.177098
Kyeezu Kim, Jie Yao, David R Jacobs, Randall V Martin, Aaron van Donkelaar, Wei-Chung Su, Chunchao Zhang, Xiang Chen, Venkatesh L Murthy, Xuehong Zhang, Donald Lloyd-Jones, Lifang Hou, Kai Zhang
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引用次数: 0

摘要

背景:暴露于细颗粒物(PM2.5)与动脉粥样硬化风险增加有关。然而,PM2.5中的特定化合物而非总体质量是否能更好地指示与空气污染有关的不良心血管健康后果,目前仍不清楚:在这项横断面研究中,我们纳入了 3257 名来自年轻人冠状动脉风险发展(CARDIA)研究的参与者(37-51 岁)。分析包括 PM2.5 及其组成化合物、黑碳 (BC)、铵、硝酸盐、有机物、硫酸盐、矿尘和海盐的暴露情况。颈动脉超声波检查测量了颈动脉内膜厚度(cIMT;总颈动脉、球颈动脉和内颈动脉的平均值)。我们使用线性回归模型评估了一年暴露于 PM2.5 及其化合物与平均 cIMT 的横截面关系,并对参与者的人口统计学特征、个人和社区层面的社会经济状况、行为因素和健康状况进行了调整。我们还采用贝叶斯核机器回归(BKMR)模型研究了PM2.5化合物混合物与cIMT之间的关系以及每种化合物对这种关系的贡献:在平均年龄为 45.0 岁的参与者(其中黑人占 45.9%,白人占 54.1%)中,更多暴露于 BC 与更高的 cIMT(毫米)相关(β =0.034,95 % CI =0.019-0.049,BC 的 IQR 每增加 [0.56 μg/m3])。这种关联与参与者的人口统计学特征基本一致。在我们的 BKMR 分析中,BC 与 cIMT 呈剂量反应关系,而 cIMT 与作为混合物的 PM2.5 化合物的关系贡献率很高(后纳入概率 [PIP]:1.00):我们的研究结果表明,PM2.5中的某些化合物(如BC)可能更可靠地表明空气污染对心血管健康的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations of exposure to PM2.5 and its compounds with carotid intima-media thickness among middle-aged adults.

Background: Exposure to fine particulate matter (PM2.5) has been linked to an increased risk of atherosclerosis. However, it remains unclear whether specific compounds within PM2.5, rather than the overall mass, serve as a better indicator of adverse cardiovascular health outcomes associated with air pollution.

Methods: In this cross-sectional study, we included 3257 participants (aged 37-51 years) from the Coronary Artery Risk Development in Young Adults (CARDIA) study. Exposure to PM2.5 and its constituent compounds, black carbon (BC), ammonium, nitrate, organic matter, sulfate, mineral dust, and sea salt were included in the analyses. Carotid intima media thickness (cIMT; the average of common, bulb, and internal carotid) was measured by carotid ultrasonography. We assessed the cross-sectional associations of one-year exposure to PM2.5 and its compounds with mean cIMT using linear regression models adjusting for participants' demographics, individual- and neighborhood-level socioeconomic status, behavioral components, and health conditions. We also adopted Bayesian kernel machine regression (BKMR) models to investigate the association between the PM2.5 compound mixture and cIMT as well as the contribution of each compound to the association.

Results: Greater exposure to BC was associated with higher cIMT (mm) (β =0.034, 95 % CI = 0.019-0.049, per IQR increase [0.56 μg/m3] of BC) among participants with a mean age of 45.0, consisting of 45.9 % Black and 54.1 % White males and females. The association was generally consistent across participants' demographic characteristics. In our BKMR analysis, BC exhibited a dose-response association with cIMT with a high contribution to the association of cIMT with PM2.5 compound as a mixture (posterior inclusion probability [PIP]: 1.00).

Conclusions: Our findings suggest that certain compounds of PM2.5, such as BC, may offer more reliable indications of the impact of air pollution on cardiovascular health.

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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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