EXPANDING MHAS RESEARCH INFRASTRUCTURE WITH HISTORICAL CLIMATE AND LIFETIME WORKPLACE ENVIRONMENTAL EXPOSURES INFLUENCING INEQUITIES IN AD/ADRD

扩大 MHAS 研究基础设施，考虑影响 AD/ADRD 不平等的历史气候和终生工作场所环境暴露

• 批准号: 10654387
• 负责人: Jay Bhattacharya
• 金额: $ 24.43万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-16 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10654387
• 关键词: Address; Administrative Supplement; Affect; Age-Years; Aging; Agriculture; Air Pollution; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Biological Markers; Characteristics; Climate; Climatology; Cognitive aging; Complement; Country; Data; Data Files; Data Linkages; Data Set; Data Sources; Dementia; Disease; Droughts; Economically Deprived Population; Elderly; Employment; Environment; Environmental Exposure; Equipment and supply inventories; Exposure to; Fire - disasters; Fostering; Funding; Gene Expression; Goals; Hair; Health; Health and Retirement Study; Heavy Metals; Housing; Hurricane; Impaired cognition; Income; Individual; Inequality; Information Systems; Latin America; Laws; Lead; Life Cycle Stages; Link; Livestock; Measures; Mercury; Metal exposure; Mexican; Monitor; Municipalities; Natural Disasters; Occupational Exposure; Occupations; Outcome; Pathway interactions; Persons; Planet Earth; Policies; Precipitation; Production; Protocols documentation; Regulation; Research; Research Infrastructure; Research Personnel; Research Support; Respondent; Risk; Role; Services; Soil; Source; Surveys; System; Temperature; Titanium; United States National Institutes of Health; Workplace; climate change; climate data; climate-related exposures; cognitive function; disadvantaged population; early-life disadvantage; economic evaluation; epigenomics; forest; greenhouse gases; health disparity; health inequalities; insight; instrument; low and middle-income countries; middle age; outreach; professional atmosphere; research study; sea level rise; web site

PROJECT SUMMARY/ABSTRACT This project will merge longitudinal the Mexican Health and Aging Study (MHAS) data with that on climate and classify workplace environment exposures. This will yield a dataset offering new insights on how climate and workplace environment affects trajectories for Alzheimer’s disease and Alzheimer’s disease and related disorders (AD/ADRD). Because the MHAS has been collected longer than any other similar survey in the developing world, the resulting data set will help generate important findings on the growing proportion of persons in low- and middle-income countries living with AD/ADRD. The project has two specific aims. Its first aim is to expand the ability of the MHAS to support research on exposome and its relation to AD/ADRD with lifetime climate and occupational exposures. We will accomplish this by linking MHAS data to climatological data (monthly temperature and pluvial precipitation data since 1952 by municipality and state), data on hurricanes (including their impact), data on the effects of climate change (state-level data on soil erosion, forest fires, and natural disasters), data on national and state policy changes regarding laws and regulations on toxic emissions and climate change, and by classifying respondents’ lifetime and current jobs by workplace environmental exposure. Its second aim is to foster research on the influence of environmental exposures, early life disadvantages, and lifetime occupation on AD/ADRD health disparities. We will do this by documenting and disseminating the new data sources with MHAS linkages on the MHAS website platform in English and Spanish. The CeASES ADRD website and Dissemination Core will help outreach a broader audience and increase the visibility of these new products. We will also illustrate how to use the new variables in assessing determinants of cognitive function and AD/ADRD. These new products will also help researchers leverage recent MHAS questions on housing proximity to toxic or noisy environments as well as information from a hair biomarker collected in 2018 on exposures to heavy metals such as lead, mercury, and titanium. The new linked data files will help promote new research on exposome among understudied vulnerable older adults.

项目概要/摘要 该项目将把墨西哥健康与老龄化研究 (MHAS) 的纵向数据与气候和老龄化研究的纵向数据合并起来。 对工作场所环境暴露进行分类。这将产生一个数据集，提供关于气候和气候如何变化的新见解。 工作场所环境影响阿尔茨海默病和阿尔茨海默病及相关疾病的轨迹 疾病（AD/ADRD）。因为 MHAS 的收集时间比任何其他类似调查的收集时间都长。 发展中国家，由此产生的数据集将有助于得出有关人口比例不断增长的重要发现 患有 AD/ADRD 的低收入和中等收入国家。该项目有两个具体目标。其首要目标是 扩大 MHAS 支持暴露组研究及其与 AD/ADRD 与寿命关系的研究的能力 气候和职业暴露。我们将通过将 MHAS 数据与气候数据联系起来来实现这一目标 （自 1952 年以来各市和州的每月气温和雨量降水数据）、飓风数据 （包括其影响）、有关气候变化影响的数据（有关土壤侵蚀、森林火灾和气候变化的国家级数据） 自然灾害），有关有毒物质排放法律法规的国家和州政策变化的数据 和气候变化，并按工作场所环境对受访者一生和当前的工作进行分类 接触。其第二个目标是促进对环境暴露、早期生命影响的研究 AD/ADRD 健康差异的劣势和终生职业。我们将通过记录和 在 MHAS 网站平台上用英语和西班牙语传播与 MHAS 链接的新数据源。 CeASES ADRD 网站和传播核心将有助于覆盖更广泛的受众并增加 这些新产品的知名度。我们还将说明如何使用新变量来评估 认知功能和 AD/ADRD。这些新产品还将帮助研究人员利用最新的 MHAS 有关住房靠近有毒或嘈杂环境的问题以及来自头发生物标记的信息 2018 年收集的有关铅、汞和钛等重金属暴露情况的数据。新的链接数据文件 将有助于促进对未充分研究的弱势老年人进行暴露组的新研究。