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.

项目总结/文摘