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.

项目摘要/摘要 该项目将在气候和 分类工作场所环境的暴露。这将产生一个数据集，以提供有关气候和方式的新见解 工作场所环境会影响阿尔茨海默氏病和阿尔茨海默氏病的轨迹及相关 疾病（AD/ADRD）。因为收集的MHA比在 发展中国家，由此产生的数据集将有助于对不断增长的人的重要发现产生重要的发现 在低收入和中等收入国家中，居住在AD/ADRD的国家中。该项目有两个具体的目标。它的第一个目的是 扩展MHA支持有关剥离研究的研究及其与AD/ADRD的关系的能力 气候和占领。我们将通过将MHA数据与气候数据联系起来来实现这一目标 （自1952年以来，通过文化和状态以来，每月温度和普通降水数据），飓风数据 （包括其影响），关于气候变化影响的数据（国家级别的数据对土壤侵蚀，森林火灾和 自然灾害），有关国家和国家政策的数据，涉及有关有毒排放的法律法规 和气候变化，以及通过工作场所环境对受访者的一生和当前工作进行分类 接触。它的第二个目的是促进对环境暴露，早期生活的影响的研究 缺点和终生占领AD/ADRD健康差异。我们将通过记录和 用英语和西班牙语的MHAS网站平台上的MHA链接传播新的数据源。 停止ADRD网站和传播核心将有助于宣传更广泛的受众并增加 这些新产品的可见性。我们还将说明如何使用新变量评估确定词 认知功能和AD/ADRD。这些新产品还将帮助研究人员利用最近的MHA 关于靠近有毒或噪音环境的住房的问题以及头发生物标志物的信息 收集于2018年，以暴露于铅，汞和钛等重金属。新的链接数据文件 将有助于促进对知识较大的老年人的展开研究的新研究。