Ambient Air Pollution and Incident Stroke
Ambient Air Pollution and Incident Stroke
批准号:
8494615
负责人:
GREGORY A WELLENIUS
金额:
$52.82万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-07-01 至 2017-03-31
关键词:
AddressAir PollutantsAir PollutionArteriesAtherosclerosisBehaviorBrain hemorrhageCarbonCardiovascular DiseasesCause of DeathCharacteristicsCohort StudiesDataData QualityDiabetes MellitusEvaluationEventExposure toFutureGeographic LocationsHealth PolicyHealth ProfessionalHeart DiseasesHospitalizationIndividualIschemic StrokeLiteratureLong-Term EffectsMalignant NeoplasmsMeasurementMethodsModelingModificationMorbidity - disease rateNon-Insulin-Dependent Diabetes MellitusOzoneParticipantParticulatePoliciesPollutionPopulationPopulation StudyPostmenopausePublic HealthRecording of previous eventsRegulationRiskRisk FactorsSample SizeSourceStatistical MethodsStrokeStroke preventionTestingTimeUnited StatesWomanWomen&aposs Healthcerebrovascularcohortdisabilityfollow-uplong term hospitalizationmenmortalitynovelpollutantprospective
中文摘要
描述(由申请人提供):心血管疾病发病率和死亡率与环境细颗粒物空气污染(PM2.5)水平增加之间有很好的相关性。在美国,中风是心血管疾病的常见表现,也是导致死亡、住院和长期残疾的主要原因。PM2.5也可能增加缺血性和/或出血性中风的风险,但很少有研究专门针对这一假设,结果仍然不明确。这份文献中的其他重要空白包括:确定特别敏感的个人;评估PM2.5组分种类、气态污染物(CO、NO2、SO2和臭氧)和特定空气污染源的影响;以及划定影响的时间尺度。我们建议对参加妇女健康倡议的159,643名绝经后妇女和参加卫生专业人员后续研究的45,358名男子,以前所未有的详细程度评估暴露于个别环境污染物和污染物混合物与中风风险之间的关系。具体地说,使用这两个国家前瞻性队列的数据,我们将:(1)评估长期(即:数年)和短期(即:数天)暴露在环境污染物中对缺血性和出血性中风风险的影响,(2)评估患有糖尿病和其他中风风险因素的参与者是否特别容易受到这些影响的影响,(3)检查关联强度是否因缺血性中风亚型而异,以及(4)在一个新的多污染物框架内评估这些关联。为了实现这些目标,我们将使用经过验证的最先进的地统计学模型来估计每个参与者对PM2.5、PM2.5组分、气体污染物和污染物混合物的暴露,并将每个人的暴露与缺血性和出血性中风的风险联系起来。与现有研究相比,这一建议提供了几个优势,包括两个具有良好特征的研究人群、每个中风事件的详细数据、大样本、地理多样性、联合检查短期和长期影响的能力、减少测量误差的新统计方法,以及在新的多污染物框架内同时评估多种污染物的机会。通过更好地量化环境空气污染物与污染混合物和特定中风类型之间的关系,以及通过识别易感人群,该项目的结果将有助于制定对中风预防具有重要影响的监管政策,并可能有助于规划未来的机械学研究。
英文摘要
DESCRIPTION (provided by applicant): There is a well-documented association between cardiovascular disease morbidity and mortality and increased levels of ambient fine particulate air pollution (PM2.5). Stroke is a common manifestation of cardiovascular disease and a leading cause of death, hospitalization, and long-term disability in the United States. PM2.5 may also increase the risk of ischemic and/or hemorrhagic stroke, but few studies have specifically addressed this hypothesis and results remain equivocal. Other important gaps in this literature include: identification of especially susceptible individuals; evaluation of the effects of PM2.5 component species, gaseous pollutants (CO, NO2, SO2, and ozone) and specific air pollution sources; and delineation of the time scale of effects. We propose to evaluate in unprecedented detail the association between exposure to individual ambient pollutants and pollutant mixtures and the risk of stroke among 159,643 post-menopausal women participating in the Women's Health Initiative and 45,358 men participating in the Health Professionals Follow-Up Study. Specifically, using data from these two national, prospective cohorts we will: (1) evaluate the effects of long- term (i.e.: years) and short-term (i.e.: days) exposure to ambient pollutants on the risk of ischemic and hemorrhagic stroke, (2) assess whether participants with diabetes mellitus and other stroke risk factors are especially susceptible to these effects, (3) examine whether the strength of association varies by ischemic stroke subtypes, and (4) evaluate these associations within a novel multi-pollutant framework. To accomplish these aims we will estimate each participant's exposure to PM2.5, PM2.5 component species, gaseous pollutants, and pollutant mixtures using validated state-of-the-art geostatistical models, and relate each individual's exposure to the risk of ischemic and hemorrhagic stroke. This proposal offers several advantages over existing studies, including two well characterized study populations, detailed data on each stroke event, large sample size, geographic diversity, the ability to examine short-term and long-term effects jointly, novel statistical methods to reduce measurement error, and the opportunity to assess multiple pollutants simultaneously within a novel multi-pollutant framework. By better quantifying the relationship between ambient air pollutants and pollution mixtures and specific stroke types, and by identifying susceptible populations, the results of this project will contribute to regulatory policy with important implications for stroke prevention, and may help to inform the planning of future mechanistic studies.
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会议论文
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