Cardiovascular health and exposure to PM2.5 constituents: a multi-cohort study

心血管健康与 PM2.5 成分暴露：多队列研究

• 批准号: 10672259
• 负责人: Fengchao Liang
• 金额: $ 52.92万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10672259
• 关键词: Acute myocardial infarction; Adult; Affect; Air; Carbon; Cardiovascular Diseases; Cardiovascular system; Cause of Death; Cessation of life; Chemicals; China; Chinese; Cities; Cohort Analysis; Cohort Studies; Communities; Concentration measurement; Cox Proportional Hazards Models; Data; Data Set; Diameter; Disease Outcome; Elements; Europe; Event; Exposure to; Health; Heart failure; Heavy Metals; Hospitals; Household; Incidence; Individual; Indoor Air Pollution; Industrialization; Intervention; Investigation; Investments; Joints; Knowledge; Lead; Long-Term Effects; Measurement; Measures; Modeling; Morbidity - disease rate; Nickel; Nitrates; North America; Outcome; Participant; Personal Health Records; Policies; Pollution; Predisposition; Public Health; Recording of previous events; Records; Research; Resolution; Shapes; Stroke; Sulfate; Supercomputing; Tennessee; Time; Toxic effect; Training; Universities; Urbanization; Variant; Work; adjudication; ambient air pollution; burden of illness; cardiovascular disorder risk; cardiovascular health; cohort; design; effective intervention; fine particles; follow-up; insight; land use; machine learning model; models and simulation; mortality; particle; response; study population; years of life lost

Project Summary Cardiovascular diseases (CVD) are the primary cause of death and a major cause of years of life lost in the US and in the world. Cohort studies conducted in North America and Europe have provided crucial information in identifying exposure to ambient fine particulate matter (PM2.5) as a cause of increased CVD risks. They have also pointed out important directions for future research, including the differential toxicity of PM2.5 chemical constituents to CVD incidence, the shape of concentration-response (C-R) functions, impact of exposure time windows and indoor air pollution exposure. The objectives of our study are to assess the associations between long-term exposure to PM2.5 constituents and incident CVD, and investigate the impact of exposure time window and indoor air pollution on these associations. Approach. We will conduct a retrospective multi-cohort study in China using personal health records from five national cohorts with adjudicated CVD endpoints maintained by the Fuwai Hospital. To provide individual-level exposure trajectories for ~120,000 cohort participants during their follow-up period, we will develop an ensemble machine learning model using ground air quality measurements, satellite data, and air quality model simulations to generate 1 km resolution national PM2.5 mass and major constituent (sulfates, nitrates, elemental carbon, organic carbon, lead, and nickel) exposure estimates between 1998 and 2020 (Aim 1). Using cohort data from 2007 to 2020 for our main analyses, we will use Cox proportional hazard models to estimate the associations of long-term exposures to PM2.5 constituents and adverse cardiovascular outcomes including total CVD, acute myocardial infarction, and stroke (Aim 2). Variations of this model will be used to investigate the shape of the C-R functions (linear vs. non-linear) as well as the impact of exposure errors using exposure estimates between 1998 and 2020 (Aim 2a). We will also examine windows of susceptibility for CVD endpoints using both time-variant and time- invariant exposure metrics (Aim 2b). Finally, we will evaluate the confounding effect of indoor air pollution on the C-R functions using a sub-cohort with estimated personal PM2.5 exposure estimates based on Fuwai Hospital's ongoing Multi-Region Panel Study (Aim 2c). Expected Results. Given the tremendous variability in PM2.5 constituent concentrations in China over time and space, our findings will contribute new PM2.5 constituent-specific C-R functions in CVD burden calculation in both the US and the world. Our study will also expand our knowledge on important factors affecting these associations such as exposure window and indoor air pollution.

项目概要 心血管疾病 (CVD) 是美国人死亡的主要原因，也是导致寿命缩短的主要原因 和在世界上。在北美和欧洲进行的队列研究提供了重要信息 确定暴露于环境细颗粒物 (PM2.5) 是导致 CVD 风险增加的原因。他们有 还指出了未来研究的重要方向，包括PM2.5化学物质的差异毒性 CVD 发病率的构成因素、浓度反应 (C-R) 函数的形状、暴露时间的影响 窗户和室内空气污染暴露。我们研究的目的是评估之间的关联 长期暴露于 PM2.5 成分和事件 CVD，并调查暴露时间的影响 窗户和室内空气污染对这些有关联。方法。我们将进行多队列回顾 在中国进行的研究使用了五个国家队列的个人健康记录，并已判定 CVD 终点 由阜外医院维护。为约 120,000 名队列提供个人水平的暴露轨迹 在参与者的后续阶段，我们将使用地面开发一个集成机器学习模型 空气质量测量、卫星数据和空气质量模型模拟，生成 1 公里分辨率的国家级数据 PM2.5 质量和主要成分（硫酸盐、硝酸盐、元素碳、有机碳、铅和镍） 1998 年至 2020 年期间的暴露估计（目标 1）。使用 2007 年至 2020 年的队列数据作为我们的主要研究对象 分析中，我们将使用 Cox 比例风险模型来估计长期暴露于 PM2.5 成分和不良心血管结局，包括总 CVD、急性心肌梗死和 中风（目标 2）。该模型的变体将用于研究 C-R 函数的形状（线性与线性）。 非线性）以及使用 1998 年至 2020 年期间暴露估计的暴露误差的影响（目标 2a）。我们还将使用时变和时变来检查 CVD 终点的敏感性窗口。 不变的暴露指标（目标 2b）。最后，我们将评估室内空气污染对人的混杂影响。 C-R 功能使用子队列，并根据 Fuwai 估计个人 PM2.5 暴露估计值 医院正在进行的多区域小组研究（目标 2c）。预期结果。鉴于巨大的可变性 中国PM2.5成分浓度随时间和空间的变化，我们的发现将贡献新的PM2.5 美国和世界各地的 CVD 负担计算中特定成分的 C-R 函数。我们的研究也将 扩大我们对影响这些关联的重要因素的了解，例如暴露窗口和室内 空气污染。

项目成果

Benefits of active commuting on cardiovascular health modified by ambient fine particulate matter in China: A prospective cohort study.

• DOI: 10.1016/j.ecoenv.2021.112641
• 发表时间: 2021-08-27
• 期刊: ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
• 影响因子: 6.8
• 作者: Lin, Yuan;Yang, Xueli;Liang, Fengchao;Huang, Keyong;Liu, Fangchao;Li, Jianxin;Xiao, Qingyang;Chen, Jichun;Liu, Xiaoqing;Cao, Jie;Chen, Shufeng;Shen, Chong;Yu, Ling;Lu, Fanghong;Wu, Xianping;Zhao, Liancheng;Wu, Xigui;Li, Ying;Hu, Dongsheng;Huang, Jianfeng;Lu, Xiangfeng;Liu, Yang;Gu, Dongfeng
• 通讯作者: Gu, Dongfeng

A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China.

• DOI: 10.1016/j.envint.2023.107740
• 发表时间: 2023-01
• 期刊: ENVIRONMENT INTERNATIONAL
• 影响因子: 11.8
• 作者: Meng, Xia;Hang, Yun;Lin, Xiuran;Li, Tiantian;Wang, Tijian;Cao, Junji;Fu, Qingyan;Dey, Sagnik;Huang, Kan;Liang, Fengchao;Kan, Haidong;Shi, Xiaoming;Liu, Yang
• 通讯作者: Liu, Yang

Long-term exposure to fine particulate matter modifies the association between physical activity and hypertension incidence.

• DOI: 10.1016/j.jshs.2022.01.004
• 发表时间: 2022-11
• 期刊: JOURNAL OF SPORT AND HEALTH SCIENCE
• 影响因子: 11.7
• 作者: Liu, Qiong;Huang, Keyong;Liang, Fengchao;Yang, Xueli;Li, Jianxin;Chen, Jichun;Liu, Xiaoqing;Cao, Jie;Shen, Chong;Yu, Ling;Zhao, Yingxin;Deng, Ying;Li, Ying;Hu, Dongsheng;Lu, Xiangfeng;Liu, Yang;Gu, Dongfeng;Liu, Fangchao;Huang, Jianfeng
• 通讯作者: Huang, Jianfeng

The association between long-term exposure to ambient fine particulate matter and glaucoma: A nation-wide epidemiological study among Chinese adults.

• DOI: 10.1016/j.ijheh.2021.113858
• 发表时间: 2021-09
• 期刊: INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH
• 影响因子: 6
• 作者: Yang, Xueli;Yang, Ze;Liu, Yuanyuan;Chen, Xi;Yao, Baoqun;Liang, Fengchao;Shan, Anqi;Liu, Fangchao;Chen, Song;Yan, Xiaochang;Huang, Jianfeng;Bo, Shaoye;Liu, Yang;Tang, Naijun;Gu, Dongfeng;Yan, Hua
• 通讯作者: Yan, Hua

Long-term impacts of ambient fine particulate matter exposure on overweight or obesity in Chinese adults: The China-PAR project.

• DOI: 10.1016/j.envres.2021.111611
• 发表时间: 2021-10
• 期刊: ENVIRONMENTAL RESEARCH
• 影响因子: 8.3
• 作者: Huang, Sihan;Zhang, Xinyu;Liu, Zhongying;Liang, Fengchao;Li, Jianxin;Huang, Keyong;Yang, Xueli;Chen, Jichun;Liu, Xiaoqing;Cao, Jie;Chen, Shufeng;Shen, Chong;Yu, Ling;Zhao, Yingxin;Deng, Ying;Hu, Dongsheng;Huang, Jianfeng;Liu, Yang;Lu, Xiangfeng;Liu, Fangchao;Gu, Dongfeng
• 通讯作者: Gu, Dongfeng