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：
10078942
负责人：
David Charles Wheeler
金额：
$ 18.6万
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 2022-12-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10078942
关键词：
Accounting Area California Carpet Case-Control Studies Chemical Exposure Chemical Models Chemicals Child Childhood Leukemia Complex County Data 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 detection limit 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环境途径中的化学物质有关。接触。个体同时暴露于大量不同的环境化学物质，并且评估多种化学品暴露对于识别癌症危险因素非常重要。日益，在流行病学研究中正在测量大量化学物质的暴露情况，以便获得更多信息综合评估暴露组中的癌症危险因素。然而，现有的大多数研究环境化学暴露和癌症使用单一化学方法来评估化学物质独立地作为危险因素。现有研究中使用的传统统计方法显着受到许多环境化学品暴露之间通常观察到的强烈相关性的挑战，因为以及其他环境和社会经济变量。需要开发和评估建立环境癌症风险模型的统计方法，考虑了大量不同的化学物质不同的化学类别有不同的效果。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儿童白血病的病例对照研究加利福尼亚州含有大量不同化学物质的浓度测量值，2) 来解释估算时与低于检测限的化学浓度相关的不确定性化学混合物效应，3) 考虑邻里社会经济地位和残余混杂因素在估计化学品暴露影响时。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且已确定的风险因素仅占美国年度病例总数的一小部分。本次活动的预期成果研究将是 1) 新的统计方法来模拟环境癌症风险，考虑环境因素更全面地暴露，同时还考虑到与缺失数据相关的不确定性，以及 2) 评估接触多种化学品类别的化学品的影响并确定治疗儿童白血病的重要化学物质。这项研究的意义有两方面。首先，开发和评估新的风险分析统计方法，考虑多种不同的因素环境暴露同时考虑不确定性将推动环境流行病学领域的发展研究。其次，这将是首次对儿童进行病例对照研究的环境风险分析白血病使用大量相关化学物质来估计不同化学类别的影响暴露，同时还调整家庭和社区层面已知的人口风险因素并解释与缺失数据相关的不确定性。这项工作中开发的方法论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。