Nurses Health Study 3: A multiple exposure environmental epidemiology cohort of young adults

护士健康研究 3：年轻人多次暴露环境流行病学队列

• 批准号: 10434791
• 负责人: Jorge Eduardo Chavarro
• 金额: $ 39.26万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10434791
• 关键词: Address; Adolescence; Adult; Air; Air Pollution; Area; Big Data Methods; Canada; Characteristics; Chemical Exposure; Chemicals; Child; Chronic; Chronic Disease; Cohort Studies; Collection; Communities; Complex; Data; Data Collection; Databases; Diet; Disease; Dust; Enrollment; Ensure; Environment; Environmental Epidemiology; Environmental Exposure; Environmental Risk Factor; Environmental and Occupational Exposure; Family member; Female; Food; Future; Geographic Information Systems; Geographic Locations; Geography; Green space; Health; Human; Individual; Infrastructure; Infrastructure Activities; Investigation; Knowledge; Life Cycle Stages; Link; Longevity; Male Nurses; Measurement; Measures; Menopause; Minority; Minority Enrollment; Mission; Modernization; Monitor; Monoclonal Antibody R24; National Institute of Environmental Health Sciences; Noise; Nurses' Health Study; Nursing Students; Occupational; Online Systems; Participant; Pesticides; Phenotype; Physical activity; Positioning Attribute; Predisposition; Pregnancy; Pregnancy Histories; Premenopause; Procedures; Prospective cohort study; Protocols documentation; Psychosocial Factor; Quality Control; Recording of previous events; Research; Research Personnel; Resolution; Resources; Risk Factors; Sampling; System; Technology; Technology Assessment; Temperature; Time; Uncertainty; United States; Update; Water; Woman; aged; base; built environment; cohort; data management; data quality; data sharing; design; disorder risk; environmental disparity; experience; follow-up; improved; innovation; interest; male; men; mobile computing; novel; operation; prospective; recruit; repository; residence; spatiotemporal; temporal measurement; young adult

PROJECT SUMMARY This is an R24 application to support the infrastructure of our environmental epidemiology cohort, Nurses’ Health Study 3 (NHS3), an open, prospective, web-based cohort (www.nhs3.org). Participants are residence of the United States and Canada born after 1965. Most of the female participants (89%) have enrolled before menopause and 41% of female participants and 62% of male participants have no prior pregnancy history. In this innovative web-based study, we have been collecting detailed information on personal characteristics and potential disease risk factors every 6 months, including diet, physical activity, psychosocial factors, and a wide variety of occupational and environmental exposures. Data collection has focused on current exposures, as well as those experienced during adolescence, prior to first pregnancy, and during pregnancy. Discoveries made in NHS3 will build on the knowledge and experience gained from earlier cohorts on the impacts of the environment on chronic disease risk, but takes advantage of modern technology to collect novel prospective data during important windows of exposure across the life course. The NHS3 investigators have substantial experience in environmental epidemiology, exposure assessment, and Big Data analytics, as well as in managing and maintaining large prospective cohort studies. This cohort provides a unique opportunity to address key outstanding questions in environmental epidemiology, by collecting highly detailed information on multiple environmental exposures at key points in the life course. Here, we propose to support infrastructure activities in the expanded NHS3 cohort that maximize the existing resources and broaden the current scope of research, to allow the investigation of multiple environmental exposures. We will focus our efforts in three main areas: 1) the expansion of study operations and maximization of existing resources, 2) the collection of environmental exposure samples, and 3) expansion of web-based mobile technologies and assessment of spatial uncertainty and measurement error.

项目摘要 这是一个R24应用程序，用于支持我们的环境流行病学队列的基础设施， 健康研究3（NHS 3），一项开放的、前瞻性的、基于网络的队列研究（www.nhs3.org）。参与者居住 1965年以后出生的美国和加拿大人。大多数女性参与者（89%）以前参加过 41%的女性参与者和62%的男性参与者没有既往妊娠史。在 这项创新的网上研究，我们一直在收集个人特征的详细资料， 潜在的疾病风险因素，包括饮食，体力活动，心理社会因素，以及广泛的 各种职业和环境暴露。数据收集的重点是当前的风险， 以及在青春期、第一次怀孕前和怀孕期间经历的那些。发现 在NHS 3中制造的将建立在从早期队列中获得的知识和经验上， 环境对慢性病风险的影响，但利用现代技术收集新的前景 在整个生命过程中的重要暴露窗口期间的数据。NHS3调查人员有大量 在环境流行病学，暴露评估和大数据分析方面的经验，以及 管理和维护大型前瞻性队列研究。这一群体提供了一个独特的机会， 通过收集以下方面的详细信息，解决环境流行病学中的关键未决问题： 在生命过程中的关键点上多次暴露于环境中。 在这里，我们建议支持扩大的NHS 3队列中的基础设施活动，最大限度地提高现有的 资源和扩大目前的研究范围，允许调查多种环境 暴露。我们将集中精力在三个主要领域：1）扩大研究业务， 最大限度地利用现有资源，2）收集环境暴露样品，3）扩大 基于网络的移动的技术以及空间不确定性和测量误差的评估。