A cohort study of air pollution, lung cancer, and COPD in Los Angeles County

洛杉矶县空气污染、肺癌和慢性阻塞性肺病的队列研究

基本信息

批准号：
9761527
负责人：
Iona C Cheng
金额：
$ 46.65万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2021-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9761527
关键词：
1,3-Butadiene Address Affect African Air Air Pollutants Air Pollution Airborne Particulate Matter American Area Aromatic Polycyclic Hydrocarbons Benzene Biological Biological Markers C-reactive protein California Carcinogens Cause of Death Characteristics Chemicals Chronic Obstructive Airway Disease Classification Cohort Studies County Data Data Quality Development Diesel Exhaust Disease Disease Surveillance Dose Engine Exhaust Epidemiology Ethnic Origin Exposure to Foundations Gasoline Gender Goals Health Health Priorities Health behavior Histology Human Individual Infrastructure International Agency for Research on Cancer Knowledge Latino Life Style Link Literature Los Angeles Malignant neoplasm of lung Measures Medicare Molecular Molecular Epidemiology Motor Neighborhoods Occupational Exposure Participant Particulate Particulate Matter Pattern Population Public Health Quality Control Questionnaires Race Risk Role Serum Smoking Status Socioeconomic Status Subgroup United States Woman Work ambient air pollution cancer risk carcinogenicity coarse particles cohort design disorder risk ethnic difference ethnic diversity exhaust follow-up improved inflammatory marker lifestyle factors pollutant prospective racial and ethnic response sex surveillance data ultrafine particle

1,3-Butadiene Address Affect African Air Air Pollutants Air Pollution Airborne Particulate Matter American Area Aromatic Polycyclic Hydrocarbons Benzene Biological Biological Markers C-reactive protein California Carcinogens Cause of Death Characteristics Chemicals Chronic Obstructive Airway Disease Classification Cohort Studies County Data Data Quality Development Diesel Exhaust Disease Disease Surveillance Dose Engine Exhaust Epidemiology Ethnic Origin Exposure to Foundations Gasoline Gender Goals Health Health Priorities Health behavior Histology Human Individual Infrastructure International Agency for Research on Cancer Knowledge Latino Life Style Link Literature Los Angeles Malignant neoplasm of lung Measures Medicare Molecular Molecular Epidemiology Motor Neighborhoods Occupational Exposure Participant Particulate Particulate Matter Pattern Population Public Health Quality Control Questionnaires Race Risk Role Serum Smoking Status Socioeconomic Status Subgroup United States Woman Work ambient air pollution cancer risk carcinogenicity coarse particles cohort design disorder risk ethnic difference ethnic diversity exhaust follow-up improved inflammatory marker lifestyle factors pollutant prospective racial and ethnic response sex surveillance data ultrafine particle

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项目摘要

PROJECT SUMMARY/ABSTRACT While air quality has improved over the past decades, air pollution is ubiquitous and the absolute number of people affected is a major public health concern. In 2013, the International Agency for Research on Cancer classified outdoor air pollution and particulate matter (PM) as carcinogenic to humans and a cause of lung cancer. This recent classification calls for prompt action to address the gaps in the epidemiologic literature on the role of air pollution in increasing the risks for lung cancer and chronic obstructive pulmonary disease (COPD), two of the top four causes of death in the United States. Thus, we designed the following aims, leveraging the rich environmental, lifestyle, neighborhood, molecular, and surveillance data of the long- standing Multiethnic Cohort (MEC) Study. We propose in Aim 1 to quantify and characterize the associations between estimated exposure to airborne particulate matter (PM2.5, PM10) and lung cancer risk among 112,023 California (CA) MEC participants with 3,057 lung cancer cases. In Aim 2 we will quantify and characterize the associations between PM2.5, PM10, and risk of COPD among 46,000 CA MEC participants with Medicare data, including 11,508 COPD cases. In Aim 3 we will investigate the relationships between PM2.5, PM10, and serum levels of the inflammatory marker, C-reactive protein, already available in 7,566 CA MEC participants. In each of these aims, we will also assess the extent to which these PM-associations are modified by co-pollutants (e.g., NO2 and NOx traffic markers), individual-level (e.g., race/ethnicity, gender, smoking status), and neighborhood-level (e.g., socioeconomic status, ethnic enclave) factors. The strengths of this proposal include: (1) it represents one of the first prospective air pollution and lung cancer and COPD study to include sizeable numbers of Africans and Latinos (n=80,489); (2) it addresses the complexity of air pollution assessment by evaluating three separate measures of estimated air pollutants having different advantages and functionalities; (3) it leverages multiple measures of exposures over the same periods to provide a greater depth in understanding exposure patterns and associations with risk; and (4) it incorporates a molecular epidemiology component. Through this work, we expect to increase our understanding of the burdens of lung cancer and COPD associated with air pollution exposure and to identify differences in associations among important subgroups.

项目摘要/摘要尽管在过去的几十年中，空气质量有所提高，但空气污染无处不在，绝对数量受影响的人是一个主要的公共卫生问题。 2013年，国际癌症研究机构分类为人类致癌的室外空气污染和颗粒物（PM）和肺的原因癌症。最近的分类要求迅速采取行动来解决流行病学文献中的差距空气污染在增加肺癌和慢性阻塞性肺疾病的风险中的作用（COPD），在美国死亡的前四个原因中的两个。因此，我们设计了以下目标，利用长期的环境，生活方式，邻里，分子和监视数据常规多民族队列（MEC）研究。我们在AIM 1中提出量化和表征关联在112,023的估计接触空气颗粒物（PM2.5，PM10）和肺癌风险之间加利福尼亚州（CA）MEC参与者患有3,057例肺癌病例。在AIM 2中，我们将量化和表征 PM2.5，PM10和具有Medicare数据的46,000名CA MEC参与者之间的COPD风险，包括11,508例COPD案件。在AIM 3中，我们将研究PM2.5，PM10和血清之间的关系炎症标志物的水平，C反应蛋白，已经在7,566个CA MEC参与者中使用。每个在这些目标中，我们还将评估共污染物修改这些PM缔约的程度（例如，NO2和NOX交通标记），个人级别（例如种族/种族，性别，吸烟状况），并且邻里级别（例如，社会经济地位，民族飞地）因素。该提议的优势包括：（1）它代表了最早的前瞻性空气污染和肺癌和COPD研究之一，包括大量非洲人和拉丁美洲人的数量（n = 80,489）；（2）它通过评估具有不同优势和功能的估计空气污染物的三个单独措施；（3）它利用同一时期的多种暴露措施来提供更大的深度了解暴露模式和风险的关联；（4）它结合了分子流行病学成分。通过这项工作，我们希望增加对肺癌负担的理解与空气污染暴露相关的COPD，并确定重要的关联差异亚组。