Modeling cancer risk and environmental and socio-spatial exposures using residential histories

使用居住历史对癌症风险以及环境和社会空间暴露进行建模

• 批准号: 10618188
• 负责人: David Charles Wheeler
• 金额: $ 32.67万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10618188
• 关键词: Accounting; Address; Area; Arsenic; Back; Bayesian Modeling; Cancer Model; Chemicals; Data; Databases; Diagnosis; Diet; Disease; Enrollment; Environmental Exposure; Environmental Risk Factor; Epidemiology; Exposure to; Factor Analysis; Goals; Health; Individual; Life Cycle Stages; Location; Malignant Neoplasms; Malignant neoplasm of urinary bladder; Measurement; Methodology; Methods; Modeling; Neighborhoods; New England; Non-Hodgkin' s Lymphoma; Outcome; Outcomes Research; Pattern; Recording of previous events; Reporting; Research; Research Personnel; Residential Mobility; Risk; Risk Estimate; Risk Factors; Sampling; Socioeconomic Status; Statistical Methods; Study Subject; Time; Time Study; Trihalomethanes; United States; United States National Institutes of Health; anticancer research; cancer epidemiology; cancer risk; disorder risk; environment related cancer; environmental chemical; environmental chemical exposure; epidemiology study; improved; innovation; interest; residence; response; study population; time use

In many studies on the risk of disease, investigators analyze the spatial patterns of health outcomes and evaluate residential environmental exposures at the time of study enrollment in hopes of identifying potential causal environmental factors. However, for cancers with long latencies like bladder cancer and non-Hodgkin lymphoma (NHL) residential locations many years prior to diagnosis are important for determining where and when relevant environmental exposures occurred in mobile study populations. Many environmental factors are distributed unevenly over space and time and several decades may have elapsed between exposure to a relevant risk factor and diagnosis. While some investigators have begun to consider residential histories in studies of cancer, a number of research challenges remain. Statistical methods are currently lacking for modeling cumulative spatial risk of cancer over time using residential histories in epidemiologic studies. There is also a need for methods that estimate environmental and socio-spatial exposure effects over time while modeling cumulative spatial risk. Exposure data are increasingly becoming multivariate and there is a need to develop statistical methods for handling multivariate exposures such as chemical mixtures over time. In the consideration of residential histories, more investigators are proposing to use public record databases such as LexisNexis to acquire historic residential locations for study subjects. However, it is currently unknown what impact using residential histories from public record databases in place of subject-reported residential histories has when studying environmental cancer risk over time. Measurement error and therefore bias could result from using public record databases particularly going several decades back in time. In this project, we aim to develop a comprehensive set of methods that incorporate residential histories into cancer studies to estimate both cumulative spatial risk and health effects of many environmental and socio-spatial exposures over time. We will apply these methods to the New England Bladder Cancer Study and the NCI-SEER NHL study to better understand environmental factors for bladder cancer and NHL. We will also assess the impact of using residential histories from public record databases on the ability of methods to identify spatial areas of risk and estimate environmental and socio-spatial exposure effects. The expected outcomes of this research will be 1) new statistical methods for estimating cumulative spatial risk and health effects for many environmental and socio-spatial exposures over time, and 2) identification of areas of significantly elevated risk over time for bladder cancer and NHL risk, 3) estimates of effects for mixtures of historic environmental and socio-spatial exposures and bladder cancer and NHL risk, and 4) an assessment of using residential histories from public record databases to estimate historic exposure effects and detect areas of elevated cancer risk. The methodological approaches developed will be applicable to many studies of cancer and environmental risk. In addition, the findings from the assessment of public record database residential histories will be useful for many investigators considering using them in environmental risk studies.

在许多有关疾病风险的研究中，研究人员分析了健康结果的空间模式并评估 研究入学时的住宅环境暴露，以期确定潜在的因果关系 环境因素。但是，对于长期潜伏期（例如膀胱癌和非霍奇金淋巴瘤）的癌症 （NHL）诊断前多年的住宅位置对于确定相关地点和何时何时至关重要 移动研究人群发生环境暴露。分布了许多环境因素 在接触相关风险因素之间可能已经经过几十年的时间和几十年的时间不均 和诊断。尽管一些研究人员已经开始考虑癌症研究中的住宅历史，但 仍然存在研究挑战的数量。目前缺少统计方法来建模累积空间 在流行病学研究中，使用住宅历史随着时间的流逝风险。也需要方法 该估计环境和社会空间的暴露会随着时间的推移效应，同时对累积空间风险进行建模。 曝光数据越来越多地成为多变量，需要开发统计方法 随着时间的流逝，处理多元暴露，例如化学混合物。在考虑住宅历史时， 越来越多的研究人员建议使用Lexisnexis等公共记录数据库来获得历史性的 研究学科的住宅位置。但是，目前尚不清楚使用住宅历史 从公共记录数据库来代替受主题报告的住宅历史的研究。 随着时间的流逝，癌症风险。测量误差，因此使用公共记录数据库可能导致偏见 特别是及时的几十年。在这个项目中，我们旨在开发一系列 将住宅历史纳入癌症研究的方法，以估算累积空间风险和 随着时间的流逝，许多环境和社会空间暴露的健康影响。我们将将这些方法应用于 新英格兰膀胱癌研究和NCI-Seer NHL研究，以更好地了解环境因素 用于膀胱癌和NHL。我们还将评估使用公共记录中使用住宅历史的影响 关于方法识别风险空间领域并估计环境和社会空间的数据库 暴露效果。这项研究的预期结果将是1）估计的新统计方法 随着时间的流逝，许多环境和社会空间暴露的累积空间风险和健康影响，2） 识别膀胱癌和NHL风险随着时间的流逝而显着升高风险的区域，3）估计 历史环境和社会空间暴露以及膀胱癌和NHL风险的混合物的影响 4）评估使用公共记录数据库中的住宅历史来估计历史暴露效果 并检测癌症风险升高的地区。开发的方法学方法将适用于许多 研究癌症和环境风险。此外，评估公共记录数据库的发现 住宅历史对于许多考虑在环境风险研究中使用它们的研究人员将很有用。