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 几项流行病学研究发现，接触化学应激源（如 空气污染）和非化学应激源（如温度、噪音、绿色空间、社会经济地位 [SES]种族和民族）和健康结果。然而，这些研究中很少有：1）估计健康 与同时暴露于多种化学应激源相关的整个生命过程的影响; 2） 非化学应激源和健康的社会决定因素的特征性混杂/效应修正 差异，特别是住房条件和粮食不安全等因素; 3）调查是否 暴露于这些化学应激源可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，可以解释高维度的暴露，混杂因素， 和相互作用术语，以了解对健康结果的影响。我们收集了四个独特的 研究人群，3个在马萨诸塞州（MA）的联邦，健康结果的数据跨越 从出生到死亡，以及关于健康差距的潜在决定因素的大量信息。在目标1中， 我们将开发创新的统计方法，以估计与大量疾病相关的健康影响， 暴露（化学应激源），同时也解释了大量潜在的混杂因素， 交互.在目标2中，我们将估计暴露于多种化学应激源与 出生结果、儿童生长率和心血管死亡率。我们将检查效果修改， 非化学应激源在个人居住水平，包括温度，噪音，绿色空间，和 建筑环境（邻里步行能力）。我们还将研究由丰富的主机效果修改 健康差异的个人层面社会决定因素（例如，年龄、种族/民族、SES）。另外通过 项目2和3的工作，我们将有机会获得住房功能，可能会影响颗粒渗透或 室内热条件和环境健康差异的措施，包括住房，邻里， 物质困难和社会人口压力结构。在目标3中，我们将研究纵向 表观遗传特征的变化与空气污染暴露有关，以及这些特征是如何被修改的 健康差异的决定因素。这项研究的成功完成将解决以下迫切需要： 1)同时暴露于多种化学应激源的健康影响的量化方法; 2）识别 健康差距的哪些非化学压力源和社会决定因素加剧了这些影响; 3） 识别效果差异; 4）阐明潜在的潜在生物学机制， 环境驱动的健康差距。成功完成这项工作后产生的知识 该项目将是必不可少的，以减轻环境驱动的健康差距和改善健康的 弱势群体和社区。