Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic research
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic research
批准号:
10487390
负责人:
Jorge Eduardo Chavarro
金额:
$250.18万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-02-08 至 2026-01-31
关键词:
AddressAdultAdult ChildrenAffectAfrican American populationAgeAir PollutionAnthropometryAreaAsthmaBehavioralBig DataBiologicalBiological MarkersBiological Specimen BanksBlood PressureCardiovascular DiseasesCause of DeathCellular PhoneCessation of lifeCharacteristicsChildChronic Obstructive Pulmonary DiseaseClinicalCollectionCommunitiesCoronary heart diseaseDNADataData CollectionDatabasesDietDimensionsDiseaseDyslipidemiasEducational MaterialsElectronic cigaretteEnvironmental ExposureEpidemiologyErythrocytesEtiologyEventExposure toFoodFood AccessFutureGenerationsGenesGeographic DistributionGeographic Information SystemsGeographyGestational DiabetesGoalsGreen spaceHealthHealth Care CostsHeart DiseasesHispanic AmericansHypertensionIndividualInfrastructureInfrastructure ActivitiesLifeLife Cycle StagesLinkLung diseasesMaintenanceMarijuanaMeasurementMeasuresMedical HistoryMedical RecordsMinorityMorbidity - disease rateMothersNurses&apos Health StudyObesityObstructive Lung DiseasesOnline SystemsParticipantPeriodicalsPersonsPhenotypePhysical activityPlasmaPregnancyPregnancy ComplicationsPremature BirthProcessProtocols documentationQuestionnairesRNARecording of previous eventsReportingResearchResearch SupportResolutionResourcesRiskRisk FactorsRural PopulationSleepSocioeconomic StatusSpecimenStrokeTechnologyTemperatureTotal Lung CapacityTranslational ResearchTriad Acrylic ResinUnited StatesUpdateUrineVisualization softwareWomanWomen&aposs Healthanalytical toolattributable mortalitybasebiobankbuilt environmentcardiorespiratory fitnesscardiovascular healthcardiovascular risk factorcohortdata infrastructuredata repositorydata resourcedata sharingdigitaldisabilitydisorder riskepidemiology studyethnic minorityexcessive weight gainfollow-upfrontierinnovationinterestintergenerationallifestyle factorslung healthmenmobile computingmortalitynoveloffspringpregnancy disorderracial and ethnicreproductivespatiotemporalstool sample
中文摘要
项目总结
越来越多的证据表明,早期生活和生殖事件,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疾病。同样,越来越多的证据
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。
生活。在这项应用中,我们建议加强必要的基础设施,以收集关于传统和
新出现的心肺疾病危险因素,并记录这些情况在
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,其中有大量非裔美国人和西班牙裔美国人。这群人
还关注了超过65,000对母亲-成年后代,超过13,000个祖母-母亲-成年儿童三合一
和16,000多个兄弟姐妹组;促进旨在确定代际风险的研究的资源
心血管疾病和阻塞性肺疾病的相关因素。两个较年轻的人群(NHS3和Guts)中的女性
在生殖年度中期,每年约有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,包括被认为是边境地区的问题。建议数
这三个相关群体的基础设施活动最终将支持旨在确定
心血管疾病(CHD、中风)和阻塞性肺疾病(COPD和
哮喘),以及相关的生物中间终点,从基因到地理。我们将专注于我们的
四个领域的努力:1)最大限度地利用现有资源--包括更新和维持粮食
基于地理信息系统的合成数据库和地理关联暴露数据
(Gis),2)收集与亲自采集血压和
人体测量数据,3)基于Web的移动技术的扩展和用于
4)加强数据共享能力。能够将生物标记物数据、状态
最先进的移动高分辨率测量方法和传统的流行病学风险因素数据,收集于
世世代代和在三个相关群体的整个生命过程中将使我们和其他人能够
强大的病因学和翻译研究。我们的目标是保持跟踪和关联的质量
数据,以及扩大将为小说队列提供创新维度的技术
科学发现。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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海外基金