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Modeling multiple environmental exposures and childhood leukemia risk

模拟多种环境暴露和儿童白血病风险

基本信息

批准号：
9890257
负责人：
David Charles Wheeler
金额：
$ 22.65万
依托单位：
VIRGINIA COMMONWEALTH UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-01-01 至 2021-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9890257
关键词：
Accounting Area California Carpet Case-Control Studies Chemical Exposure Chemical Models Chemicals Child Childhood Leukemia Complex County Data Detection Development Dust Enrollment Environmental Epidemiology Environmental Exposure Environmental Risk Factor Epidemiology Etiology Evaluation Exposure to Goals Hand Health House Dust Household Incidence Income Individual Ingestion Lead Malignant Neoplasms Measures Methodology Methods Modeling Neighborhoods Oral cavity Outcomes Research Polychlorinated Biphenyls Population Study Public Health Publishing Research Residual state Risk Risk Assessment Risk Factors San Francisco Socioeconomic Status Statistical Methods Structure Sum Time Time Study Uncertainty United States Work cancer risk chemical group environment related cancer environmental chemical environmental chemical exposure epidemiology study exposure route indexing insight novel novel strategies simulation socioeconomics

项目摘要

Incidence for many cancers is suspected to be associated with chemicals through environmental routes of exposure. Individuals are exposed to a large number of diverse environmental chemicals simultaneously and evaluation of multiple chemical exposures is important for identifying cancer risk factors. Increasingly, exposures are being measured for a large number of chemicals in epidemiologic studies to allow for a more comprehensive assessment of cancer risk factors in the exposome. However, most existing studies of environmental chemical exposures and cancer use a single-chemical approach that evaluates chemicals independently as risk factors. Traditional statistical methods used in existing studies are significantly challenged by the typically strong correlation observed among many environmental chemical exposures, as well as other environmental and socioeconomic variables. There is a need for development and assessment of statistical methods to model environmental cancer risk that consider a large number of diverse chemicals with different effects for different chemical classes. The specific aims of this research are 1) to develop more comprehensive exposure risk models and apply them to a case-control study of childhood leukemia in California that contains concentrations measured for a large number of diverse chemicals, 2) to account for uncertainty associated with imputing chemical concentrations below the limit of detection when estimating chemical mixture effect, and 3) to account for neighborhood socioeconomic status and residual confounding when estimating chemical exposure effects. The study of childhood leukemia will benefit from environmental chemical risk analysis because it is a cancer with an unclear etiology and established risk factors that account for only a small proportion of the total annual cases in the United States. The expected outcomes of this research will be 1) new statistical approaches to model environmental cancer risk that consider environmental exposures more comprehensively while also accounting for uncertainty related to missing data, and 2) an evaluation of the effects of exposure to chemicals from many chemical classes and an identification of the important chemicals for childhood leukemia. The significance of this research is two-fold. First, the development and evaluation of new statistical approaches to risk analysis that consider multiple diverse environmental exposures while accounting for uncertainty will advance the field of environmental epidemiology research. Second, this will be the first environmental risk analysis of a case-control study of childhood leukemia that estimates effects for different chemical classes using a large number of correlated chemical exposures while also adjusting for known demographic risk factors at the household and neighborhood level and accounting for uncertainty related to missing data. The methodological approaches developed in this work will be applicable to many other cancers associated with multiple environmental exposures of differing types.

许多癌症的发病率被怀疑与化学品有关， exposure.个人同时暴露于大量不同的环境化学品，评估多种化学品接触对确定癌症风险因素很重要。越来越多的是，在流行病学研究中，正在测量大量化学品的暴露量，癌症危险因素的综合评估。然而，大多数现有的研究环境化学品暴露和癌症使用单一化学品方法，独立作为风险因素。现有研究中使用的传统统计方法在许多环境化学品接触中观察到的典型的强相关性提出了挑战，以及其他环境和社会经济变量。有必要制定和评估环境癌症风险建模的统计方法，考虑了大量不同的化学品，对不同化学类别的影响不同。本研究的具体目标是：1）开发更多综合暴露风险模型，并将其应用于一项儿童白血病的病例对照研究，加州，包含大量不同化学品的浓度测量，2）占估算时与低于检测限的化学品浓度估算相关的不确定性化学混合物效应，以及3）解释邻里社会经济地位和残余混杂估计化学品暴露的影响。儿童白血病的研究将受益于环境化学风险分析，因为它是一种病因不明的癌症，仅占美国年度病例总数的一小部分。预期的结果研究将是1）新的统计方法来模拟环境癌症风险，更全面地暴露，同时也考虑到与缺失数据相关的不确定性，以及2）评估接触许多化学品类别的化学品的影响，儿童白血病的重要化学物质。这项研究的意义是双重的。一是开发和评估新的风险分析统计方法，考虑多种多样的在考虑不确定性的同时，环境暴露将推动环境流行病学领域的发展。 research.第二，这将是第一个儿童病例对照研究的环境风险分析使用大量相关化学物质评估不同化学类别的影响的白血病暴露，同时还调整了家庭和社区水平的已知人口统计学风险因素并考虑与缺失数据相关的不确定性。在这项工作中开发的方法将适用于与不同类型的多种环境暴露相关的许多其他癌症。