Project 1: Multi-Exposure Epidemiology Across the Life Course

项目 1：生命历程中的多重暴露流行病学

• 批准号: 9242789
• 负责人: Antonella Zanobetti
• 金额: $ 11.67万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9242789
• 关键词: Accident and Emergency department; Accounting; Acute; Address; Adult; Affect; Age; Air Pollution; Biological; Birth; Birth Weight; Boston; Carbon Black; Cardiovascular system; Caregivers; Cessation of life; Characteristics; Chemical Exposure; Chemicals; Child; Child health care; Childhood; Clinic; Communities; Coronary Artery Risk Development in Young Adults Study; Data; Data Sources; Enrollment; Environmental Health; Epidemiologic Studies; Epidemiology; Epigenetic Process; Ethnic Origin; Exposure to; Food; Green space; Growth; Health; Housing; Individual; Infiltration; Knowledge; Life Cycle Stages; Longevity; Low Income Population; Massachusetts; Measures; Medical Records; Medical center; Methods; Modeling; Modification; Neighborhoods; Nitrogen Dioxide; Noise; Outcome; Particulate Matter; Premature Birth; Public Health; Race; Registries; Site; Small for Gestational Age Infant; Socioeconomic Status; Specific qualifier value; Statistical Methods; Temperature; Time; Uncertainty; United States; Vulnerable Populations; Work; built environment; density; early childhood; environmental stressor; genome wide methylation; health disparity; improved; innovation; mortality; novel; particle; racial diversity; residence; social; social health determinants; stressor; study population; trafficking; urban children; walkability

PROJECT SUMMARY Several epidemiological studies have found an association between exposure to chemical stressors (such as air pollution) and non-chemical stressors (such as temperature, noise, green space, socioeconomic status [SES], race, and ethnicity), and health outcomes. However, few of these studies have: 1) estimated the health effects across the life course associated with simultaneous exposure to multiple chemical stressors; 2) characterized confounding/effect modification by non-chemical stressors and social determinants of health disparities, particularly factors such as housing conditions and food insecurity; and 3) investigated whether exposure to these chemical stressors can affect health through epigenetic modifications. Moreover, there is a need for new statistical methods that can account for the high dimensionality of the exposures, confounders, and interaction terms in order to understand the effect on health outcomes. We have assembled four unique study populations, three in the Commonwealth of Massachusetts (MA), with data on health outcomes spanning from birth to death, as well as a wealth of information on potential determinants of health disparities. In Aim 1, we will develop innovative statistical methods to estimate health effects associated with a large number of exposures (chemical stressors), while also accounting for large number of potential confounders and interactions. In Aim 2, we will estimate the association between exposure to multiple chemical stressors on birth outcomes, childhood growth rates, and cardiovascular mortality. We will examine effect modification by non-chemical stressors at an individual residence level, including temperatures, noise, green space, and the built environment (neighborhood walkability). We will also examine effect modification by a rich host of individual-level social determinants of health disparities (e.g., age, race/ethnicity, SES). In addition, through the work of Projects 2 and 3, we will have access to housing features that may influence particle infiltration or indoor thermal conditions and measures of environmental health disparities , including housing, neighborhood, material hardship, and sociodemographic stressor constructs. In Aim 3, we will study whether longitudinal changes in epigenetic profiles are associated with air pollution exposures, and how these profiles are modified by determinants of health disparities. The successful completion of this study will address the urgent need for: 1) methods to quantify the health effects of simultaneous exposure to multiple chemical stressors; 2) identifying which non-chemical stressors and social determinants of health disparities exacerbate these effects; 3) identifying disparities in effects; and 4) elucidating potential underlying biological mechanism for environmentally driven health disparities. The knowledge produced upon the successful completion of this project will be essential in mitigating environmentally driven health disparities and improving the health of vulnerable populations and communities.

项目摘要 一些流行病学研究发现，暴露于化学胁迫（例如 空气污染）和非化学压力源（例如温度，噪声，绿色空间，社会经济状况 [SES]，种族和种族）以及健康成果。但是，这些研究中很少有：1）估计健康 在与多种化学压力源的同时接触有关的生命过程中的影响； 2） 非化学压力源和健康的社会决定因素表征了混淆/效果修改 差异，尤其是住房条件和粮食不安全等因素； 3）调查了是否 暴露于这些化学应激源可以通过表观遗传修饰影响健康。而且，还有一个 需要新的统计方法，可以说明暴露者，混杂因素， 和互动术语，以了解对健康结果的影响。我们组装了四个独特的 研究人群，三个在马萨诸塞州联邦（MA）中，有有关健康结果的数据 从出生到死亡，以及有关健康差异潜在决定因素的大量信息。在AIM 1中， 我们将开发创新的统计方法，以估计与大量相关的健康影响 暴露（化学压力源），同时还考虑了大量潜在的混杂因素和 互动。在AIM 2中，我们将估计接触多个化学应激源的关联 出生结果，儿童增长率和心血管死亡率。我们将通过 单个居住水平的非化学应力源，包括温度，噪声，绿色空间和 建筑环境（邻居步行性）。我们还将检查一大批宿主的效果修改 个人级别的健康差异社会决定因素（例如，年龄，种族/种族，SES）。另外，通过 项目2和3的工作，我们将可以访问可能影响粒子浸润或 室内热条件和环境健康差异的度量，包括住房，邻里， 物质困难和社会人口统计学压力构建。在AIM 3中，我们将研究是否纵向 表观遗传特征的变化与空气污染暴露以及如何修改这些轮廓有关 由健康差异的决定因素。这项研究的成功完成将满足迫切需求： 1）量化同时暴露于多种化学应激源的健康影响的方法； 2）识别 哪些非化学压力源和健康差异的社会决定因素加剧了这些影响； 3） 确定影响的差异； 4）阐明潜在的潜在生物学机制 环境驱动的健康差异。成功完成后产生的知识 项目对于缓解环境驱动的健康差异和改善健康至关重要 脆弱的人群和社区。