Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic research

整合生命历程方法、生物学和数字表型以支持心肺疾病流行病学研究

• 批准号: 10116455
• 负责人: Jorge Eduardo Chavarro
• 金额: $ 252.97万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-08 至 2026-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10116455
• 关键词: Address; Adult; Adult Children; Affect; African American; Age; Air Pollution; Anthropometry; Area; Asthma; Behavioral; Big Data; Biological; Biological Markers; Biological Specimen Banks; Blood Pressure; Cardiovascular Diseases; Cardiovascular system; Cause of Death; Cellular Phone; Cessation of life; Characteristics; Child; Chronic Obstructive Airway Disease; Clinical; Collection; Communities; Coronary heart disease; DNA; Data; Data Collection; Databases; Diet; Dimensions; Disease; Dyslipidemias; Educational Materials; Electronic cigarette; Environmental Exposure; Epidemiology; Erythrocytes; Etiology; Event; Exposure to; Food; Food Access; Future; Generations; Genes; Geographic Distribution; Geographic Information Systems; Geography; Gestational Diabetes; Goals; Green space; Health; Health Care Costs; Heart Diseases; Hispanic Americans; Hypertension; Individual; Infrastructure; Infrastructure Activities; Life; Life Cycle Stages; Link; Lung; Lung diseases; Maintenance; Marijuana; Measurement; Measures; Medical History; Medical Records; Minority; Morbidity - disease rate; Mothers; Nurses' Health Study; Obesity; Obstructive Lung Diseases; Online Systems; Participant; Periodicals; Persons; Phenotype; Physical activity; Plasma; Pregnancy; Pregnancy Complications; Premature Birth; Process; Protocols documentation; Questionnaires; RNA; Recording of previous events; Reporting; Research; Research Support; Resolution; Resources; Risk; Risk Factors; Rural Population; Sleep; Socioeconomic Status; Specimen; Stroke; Technology; Temperature; Total Lung Capacity; Translational Research; Triad Acrylic Resin; United States; Update; Urine; Visualization software; Woman; Women' s Health; analytical tool; attributable mortality; base; biobank; built environment; cardiorespiratory fitness; cardiovascular risk factor; cohort; data infrastructure; data repository; data resource; data sharing; digital; disability; disorder risk; epidemiology study; ethnic minority population; excessive weight gain; follow-up; frontier; innovation; interest; intergenerational; lifestyle factors; men; mobile computing; mortality; novel; offspring; pregnancy disorder; racial and ethnic; reproductive; spatiotemporal; stool sample

PROJECT SUMMARY Increasing evidence suggests that early life and reproductive events, including specific pregnancy complications, predict future health risks including cardiovascular (CVD) risk factors (e.g., dyslipidemia, hypertension, obesity), clinical CVD events, and obstructive lung disease. Similarly, increasing evidence suggests that exposures during pregnancy may affect offspring’s cardiovascular and lung health throughout life. In this application, we propose to strengthen the infrastructure necessary to collect data on traditional and emerging risk factors for heart and lung diseases and to document the occurrence of these conditions within three related cohorts: the Nurses’ Health Study II (NHS-II), the Nurses’ Health Study 3 (NHS3), and the Growing Up Today Study (GUTS). These cohorts collectively follow 188,698 individuals including more than 14,000 minority participants with large numbers of African Americans and Hispanic Americans. The cohorts also follow more than 65,000 mother-adult offspring pairs, over 13,000 grandmother-mother-adult child triads and over 16,000 sib-groups; resources that facilitate research aimed at identifying inter-generational risk factors for CVD and obstructive lung diseases. Women in the two younger cohorts (NHS3 and GUTS) are in the middle of the reproductive years, resulting in the accrual of approximately 1,000 new pregnancies per year. Furthermore, study participants are broadly distributed across the United States, giving us the ability to address questions regarding rural populations including areas considered to be Frontier. The proposed infrastructure activities in these three related cohorts will ultimately support research aimed at identifying intergenerational and early life risk factors for CVD (CHD, stroke) and obstructive lung disease (COPD and asthma), as well as of relevant biologic intermediate endpoints, from genes to geography. We will focus our efforts in four areas: 1) the maximization of existing resources – including updating and maintenance of food composition databases and geographically-linked exposure data based on geographical information systems (GIS), 2) the collection of biological specimens tied to an in-person collection of blood pressure and anthropometric data, 3) the expansion of web-based mobile technology and “Big Data” capabilities for the cohorts, and 4) strengthening our capability for data sharing. The ability to combine biomarker data, state-of- the-art mobile high-resolution measures, and traditional epidemiologic risk factor data, collected across generations and throughout the life-course in three related cohorts will enable us and others to conduct powerful etiologic and translational research. Our goal is to maintain the quality of follow-up and associated data, as well as to broaden the technologies that would provide innovative dimensions to the cohort for novel scientific discovery.

项目概要 越来越多的证据表明，早期生命和生殖事件，包括特定的怀孕 并发症，预测未来的健康风险，包括心血管 (CVD) 危险因素（例如血脂异常、 高血压、肥胖）、临床心血管事件和阻塞性肺病。 表明怀孕期间的暴露可能会影响后代的心血管和肺部健康 在这个应用程序中，我们建议加强收集传统和生活数据所需的基础设施。 心脏和肺部疾病的新出现的危险因素，并记录这些情况的发生情况 三个相关队列：护士健康研究 II (NHS-II)、护士健康研究 3 (NHS3) 和 今日成长研究 (GUTS) 这些队列总共跟踪了 188,698 人，其中包括超过 14,000 名少数族裔参与者，其中包括大量非洲裔美国人和西班牙裔美国人。 还关注超过 65,000 个母亲-成人后代对、超过 13,000 个祖母-母亲-成人儿童三合会 以及超过 16,000 个 sib 团体；促进旨在识别代际风险的研究的资源 两个年轻队列（NHS3 和 GUTS）中女性的 CVD 和阻塞性肺疾病的因素。 生育年龄中期，导致每年大约有 1,000 例新怀孕。 此外，研究参与者广泛分布在美国各地，使我们能够 解决有关农村人口的问题，包括被视为边境的地区。 这三个相关群体的基础设施活动最终将支持旨在确定 CVD（CHD、中风）和阻塞性肺病（COPD 和 哮喘），以及从基因到地理的相关生物学中间终点。 四个方面的努力：1）现有资源的最大化——包括食品的更新和维护 基于地理信息系统的成分数据库和地理相关暴露数据 (GIS)，2) 与现场血压采集相关的生物样本采集 人体测量数据，3）基于网络的移动技术和“大数据”功能的扩展 队列，4) 加强我们的数据共享能力，结合生物标志物数据、现状的能力。 最先进的移动高分辨率测量数据和传统的流行病学危险因素数据 三个相关群体的整个生命历程将使我们和其他人能够进行 我们的目标是保持随访和相关研究的质量。 数据，以及拓宽技术，为新奇的队列提供创新维度 科学发现。