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Incorporating residential histories into assessment of cancer risk in a predominantly low-income and racially diverse population

将居住史纳入以低收入和种族多元化为主的人群的癌症风险评估中

基本信息

批准号：
10735164
负责人：
Melinda Aldrich
金额：
$ 60.19万
依托单位：
VANDERBILT UNIVERSITY MEDICAL CENTER
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-21 至 2027-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10735164
关键词：
Address Adult African American Age Algorithms Area Biological Biometry Black race Breast Cancer Cluster Chronic Disease Cohort Studies Collaborations Colorectal Communities Data Dimensions Disadvantaged Disparity Enrollment Environment Environmental Exposure Environmental Pollutants Epidemiology Etiology Exposure disparity Exposure to Fostering Goals Health High-Risk Cancer Home Income Individual Individual Adjustment Knowledge Length Life Cycle Stages Link Location Low income Lung Malignant Neoplasms Measurement Measures Methods Modeling Movement Neighborhood Health Center Neighborhoods Outcome Ownership Participant Pathway interactions Patient Recruitments Patient Self-Report Pattern Physical environment Population Population Group Population Heterogeneity Poverty Poverty Areas Predictive Factor Prospective cohort Prostate Questionnaires Race Recording of previous events Research Residential Mobility Resources Risk Risk Factors Rural Sampling Social Environment Socioeconomic Status Space-Time Clustering Subgroup Surveys Telephone Testing Time Translations Underrepresented Populations Underserved Population Vendor anticancer research cancer diagnosis cancer epidemiology cancer health disparity cancer risk cancer subtypes clinical care cohort conflict resolution data registry deprivation design experience follow-up health disparity high risk improved improved mobility innovation interdisciplinary approach marginalized community marginalized population medically underserved multidisciplinary neoplasm registry novel poor communities prospective racial disparity racial diversity recruit research study residence sex social social adversity social health determinants socioeconomics spatiotemporal structural determinants

项目摘要

PROJECT SUMMARY/ABSTRACT There is growing recognition that area-level biological and physical exposures associated with residential location across the life-course must be considered for more precise cancer risk and outcomes. Yet many cohort studies lack comprehensive residential history information or limit analyses to the residence at enrollment or cancer diagnosis, a critical limitation in assessment of exposure causation potentially leading to misclassification or biased associations. Residential histories derived from commercial vendors offer an exciting opportunity to integrate the neighborhood environment into cancer research. Little research has been conducted incorporating life-course residential history information into cohort studies, particularly among historically marginalized populations living in persistent poverty regions such as in the Southeast. Populations living in the Southeast have the highest cancer risk and some of the poorest health outcomes among all U.S. populations. To address gaps in knowledge of how best to integrate geospatial data via life-course residential histories into cancer research cohort studies, we propose to evaluate residential histories in a well-resourced and large-scale observational prospective cohort of underrepresented adults, with the following specific aims: 1) collect and describe self-reported adult life-course residential histories from a historically marginalized population, 2) develop algorithms to reconstruct temporal residential histories for historically marginalized individuals, and 3) evaluate residential mobility and spatiotemporal changes in area-level life-course exposures and cancer disparities. We hypothesize concordance of residential history between vendor and self-report varies by population group and incorporating residential mobility improves exposure assessment and reduces bias in cancer research. We propose to construct residential histories, link residential histories to geospatial exposures, and test associations between geospatial exposures across the life-course and cancer disparities. We will focus on the four most common cancers (breast, lung, colorectal, prostate) in over 84,000 participants recruited across 12 Southern states. Our design focuses on robust methods to identify factors predictive of residential history patterns among historically marginalized populations, including those living in persistent poverty regions, and novel translation of residential history information into an interpretable context. Our project then examines neighborhoods which can influence cancer risk over space and time. Our project fosters innovative collaborations among a multidisciplinary team with scientific expertise in cancer disparities, cancer epidemiology, survey design, geospatial analyses, small area estimation, and biostatistics. Findings from our multidisciplinary approach will have sustained impact since it will reveal pathways for improved precision to incorporate area-level exposures across the life-course and motivate strategies to address disparities.

项目摘要/摘要人们越来越认识到，必须考虑与整个生命过程中居住地点相关的地区一级生物和物理暴露，以更准确地确定癌症风险和结果。然而，许多队列研究缺乏全面的居住史信息，或者仅限于注册时的居住地或癌症诊断，这是评估暴露原因的一个关键限制，可能会导致错误分类或有偏见的关联。来自商业小贩的住宅历史为将社区环境融入癌症研究提供了一个令人兴奋的机会。在队列研究中纳入终身住宅史信息的研究很少，特别是在生活在东南部等持续贫困地区的历史边缘化人口中。在所有美国人口中，居住在东南部的人口患癌症的风险最高，健康状况也是最差的。为了解决如何最好地将地理空间数据通过生命周期住宅史整合到癌症研究队列研究中的知识空白，我们建议在资源充足和大规模观察性前瞻性队列中评估住宅史，具体目标如下：1)收集和描述来自历史边缘化人口的自我报告的成人生命历程住宅史，2)开发算法来重建历史边缘化个人的临时住宅史，以及3)评估居住流动性和区域水平生命过程暴露和癌症差异的时空变化。我们假设供应商和自我报告之间的住宅史的一致性因人口群体而异，并纳入居住流动性，改善暴露评估，减少癌症研究中的偏见。我们建议构建居住史，将居住史与地理空间暴露联系起来，并测试生命过程中地理空间暴露与癌症差异之间的关联。我们将重点关注四种最常见的癌症(乳腺癌、肺癌、结直肠癌和前列腺癌)，这些参与者来自南部12个州，招募了超过84,000名参与者。我们的设计侧重于确定在历史边缘化人群中预测居住历史模式的因素的稳健方法，包括那些生活在持续贫困地区的人，以及将居住历史信息新颖地转换为可解释的背景。然后，我们的项目考察了可能在空间和时间上影响癌症风险的社区。我们的项目促进了在癌症差异、癌症流行病学、调查设计、地理空间分析、小区域估计和生物统计学方面拥有科学专长的多学科团队之间的创新合作。我们多学科方法的结果将产生持久的影响，因为它将揭示提高精确度的途径，以纳入整个生命过程中的区域一级暴露，并推动解决差异的战略。