Association between Long-Term Exposure to PM2.5 Inorganic Chemical Compositions and Cardiopulmonary Mortality: A 22-Year Cohort Study in Northern China

Hongyue Sun, Xi Chen, Wenzhong Huang, Jing Wei, Xueli Yang, Anqi Shan, Liwen Zhang, Honglu Zhang, Jiayu He, Chengjie Pan, Jingjing Li, Jing Wu, Tong Wang, Jie Chen, Yuming Guo, Shilu Tong, Guanghui Dong* and Nai-Jun Tang*, 
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引用次数: 0

Abstract

Particulate matter with diameters ≤2.5 μm (PM2.5) has been identified as a significant air pollutant contributing to premature mortality. Nevertheless, the specific compositions within PM2.5 that play the most crucial role remain unclear, especially in areas with high pollution concentrations. This study aims to investigate the individual and joint mortality risks associated with PM2.5 inorganic chemical compositions and identify primary contributors. In 1998, we conducted a prospective cohort study in four northern Chinese cities (Tianjin, Shenyang, Taiyuan, and Rizhao). Satellite-based machine learning models calculated PM2.5 inorganic chemical compositions, including sulfate (SO42–), nitrate (NO3), ammonium (NH4+), and chloride (Cl). A time-varying Cox proportional hazards model was applied to analyze associations between these compositions and cardiorespiratory mortality, encompassing nonaccidental causes, cardiovascular diseases (CVDs), nonmalignant respiratory diseases (RDs), and lung cancer. The quantile-based g-computation model evaluated joint exposure effects and relative contributions of the compositions. Stratified analysis was used to identify vulnerable subpopulations. During 785,807 person-years of follow-up, 5812 (15.5%) deaths occurred from nonaccidental causes, including 2932 (7.8%) from all CVDs, 479 (1.3%) from nonmalignant RDs, and 552 (1.4%) from lung cancer. Every interquartile range (IQR) increase in SO42– was associated with mortality from nonaccidental causes (hazard ratio: 1.860; 95% confidence interval: 1.809, 1.911), CVDs (1.909; 1.836, 1.985), nonmalignant RDs (2.178; 1.975, 2.403), and lung cancer (1.773; 1.624, 1.937). In the joint exposure model, a simultaneous rise of one IQR in all four compositions increased the risk of cardiorespiratory mortality by at least 36.3%, with long-term exposure to SO42– contributing the most to nonaccidental and cardiopulmonary deaths. Individuals with higher incomes and lower education levels were found to be more vulnerable. Long-term exposure to higher levels of PM2.5 inorganic compositions was associated with significantly increased cardiopulmonary mortality, with SO42– potentially being the primary contributor. These findings offer insights into how PM2.5 sources impact health, aiding the development of more effective governance measures.

Abstract Image

长期暴露于PM2.5无机化学成分与心肺死亡率之间的关系:中国北方 22 年队列研究
直径≤2.5 μm(PM2.5)的颗粒物已被确定为导致过早死亡的重要空气污染物。然而,PM2.5 中起最关键作用的具体成分仍不清楚,尤其是在污染浓度较高的地区。本研究旨在调查与 PM2.5 无机化学成分相关的个体和联合死亡风险,并确定主要的致病因素。1998 年,我们在中国北方四个城市(天津、沈阳、太原和日照)开展了一项前瞻性队列研究。基于卫星的机器学习模型计算了 PM2.5 的无机化学成分,包括硫酸盐 (SO42-)、硝酸盐 (NO3-)、铵 (NH4+) 和氯化物 (Cl-)。应用时变考克斯比例危险模型分析了这些成分与心肺疾病死亡率之间的关系,包括非意外原因、心血管疾病(CVD)、非恶性呼吸系统疾病(RD)和肺癌。基于量纲的 g 计算模型评估了联合暴露效应和成分的相对贡献。分层分析用于确定易受影响的亚人群。在 785,807 人年的随访期间,有 5812 人(15.5%)死于非意外原因,其中 2932 人(7.8%)死于所有心血管疾病,479 人(1.3%)死于非恶性 RD,552 人(1.4%)死于肺癌。SO42- 的四分位数间距 (IQR) 每增加 1%,非意外原因(危险比:1.860;95% 置信区间:1.809,1.911)、心血管疾病(1.909;1.836,1.985)、非恶性 RD(2.178;1.975,2.403)和肺癌(1.773;1.624,1.937)的死亡率就会增加。在联合暴露模型中,所有四种成分的IQR同时升高1,心肺死亡风险至少增加36.3%,其中长期暴露于SO42-对非意外死亡和心肺死亡的影响最大。收入越高、受教育程度越低的人越容易受到影响。长期暴露于较高水平的PM2.5无机成分与心肺死亡率的显著增加有关,而SO42-可能是主要因素。这些研究结果提供了有关 PM2.5 来源如何影响健康的见解,有助于制定更有效的治理措施。
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来源期刊
Environment & Health
Environment & Health 环境科学、健康科学-
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期刊介绍: Environment & Health a peer-reviewed open access journal is committed to exploring the relationship between the environment and human health.As a premier journal for multidisciplinary research Environment & Health reports the health consequences for individuals and communities of changing and hazardous environmental factors. In supporting the UN Sustainable Development Goals the journal aims to help formulate policies to create a healthier world.Topics of interest include but are not limited to:Air water and soil pollutionExposomicsEnvironmental epidemiologyInnovative analytical methodology and instrumentation (multi-omics non-target analysis effect-directed analysis high-throughput screening etc.)Environmental toxicology (endocrine disrupting effect neurotoxicity alternative toxicology computational toxicology epigenetic toxicology etc.)Environmental microbiology pathogen and environmental transmission mechanisms of diseasesEnvironmental modeling bioinformatics and artificial intelligenceEmerging contaminants (including plastics engineered nanomaterials etc.)Climate change and related health effectHealth impacts of energy evolution and carbon neutralizationFood and drinking water safetyOccupational exposure and medicineInnovations in environmental technologies for better healthPolicies and international relations concerned with environmental health
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