HRS Yrs 29-34: Lifetime Occupation Exposures

HRS 29-34 岁：终生职业暴露

• 批准号: 10655061
• 负责人: DAVID R. WEIR
• 金额: $ 15.43万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-09-25 至 2023-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10655061
• 关键词: Address; Age; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Back; Censuses; Characteristics; Classification; Code; Cognitive; Communities; Complex; Data; Data Set; Databases; Dictionary; Digit structure; Documentation; Economics; Educational workshop; Environment; Exposure to; Hand; Health and Retirement Study; Individual; Industry; Information Networks; Interview; Job Description; Laboratories; Life; Link; Loudness; Maryland; National Institute for Occupational Safety and Health; Noise; Occupational; Occupational Exposure; Occupations; Operations Research; Outcome; Participant; Plant Roots; Probability; Process; Recording of previous events; Research; Research Personnel; Resources; Respondent; Retirement; Risk; Role; Scheme; Secure; Security; Services; Structure; Surveys; Time; Toxin; Training; U-Series Cooperative Agreements; United States; United States National Institutes of Health; Work; brain health; career; cohort; computerized; data enclave; data resource; dementia risk; ethnic difference; evidence base; experience; health goals; innovation; life history; meetings; outreach; physical conditioning; racial and ethnic disparities; racial difference; tool; web site; webinar

Project Summary/Abstract This project will create a longitudinally consistent database of information on occupations in the Health and Retirement Study (HRS). Occupational information in the HRS has been coded using three different Census occupational coding schemes, with 2010 the most recent. We propose to use information provided by respondents, in interviews in 2004 and earlier, to recode all occupations into the 2010 Census framework. To maximize efficiency we will first utilize automated tools including crosswalks and the National Institute for Occupational Safety and Health (NIOSH) Industry & Occupation Computerized Coding System (NIOCCS) and then use experts on occupational coding to hand code more complex cases. We will link this dataset to rich data on job characteristics from the Occupational Information Network (O*NET) and the Dictionary of Occupational Titles (DOT). The availability of consistent occupation and industry codes for all or much of the lifetime careers of HRS respondents linked to O*NET and DOT would create opportunities for researchers to address many important research questions concerning the determinants and consequences of the United States (US) occupational structure. This may be especially useful for studying work-related risk factors for Alzheimer’s Disease and Alzheimer’s Related Dementias (ADRD), racial and ethnic disparities in ADRD rooted in racial and ethnic differences in occupation, and the effects of differences in the cognitive and physical demands of work on the economic security and physical and brain health of workers as they enter retirement. The resulting data and relevant documentation will be disseminated through the HRS website as a restricted data product available in the MiCDA data enclave. We will hold and record a webinar and conduct a preconference workshop (if accepted) to provide training to the research community on the use of this new data resource. We will participate in the National Institutes of Health (NIH) to be held in Bethesda, Maryland in Summer 2023 to share our results.

项目总结/摘要 该项目将建立一个纵向一致的卫生和保健领域职业信息数据库， 退休研究（HRS）。人力资源统计系统中的职业信息使用三种不同的普查进行编码 职业编码计划，最近的一次是2010年。我们建议使用由 在2004年和更早的访谈中，调查对象将所有职业重新编码到2010年人口普查框架中。到 最大限度地提高效率，我们将首先利用自动化工具，包括人行横道和国家研究所， 职业安全及健康（NIOSH）工业及职业电脑编码系统（NIOCCS）及 然后让职业编码专家手工编码更复杂的案件。我们将这个数据集链接到丰富的 职业信息网（O*NET）和《职业分类词典》中关于工作特征的数据 职业头衔（DOT）。 为HRS的全部或大部分职业生涯提供一致的职业和行业代码 与O*NET和DOT相关的受访者将为研究人员创造机会，解决许多重要的问题， 关于美国（US）职业发展的决定因素和后果的研究问题 结构这可能对研究与工作有关的阿尔茨海默病风险因素特别有用， 阿尔茨海默氏症相关痴呆（ADRD），ADRD中的种族和民族差异植根于种族和民族 职业的差异，以及工作的认知和身体需求的差异对 经济安全和工人进入退休时的身心健康。 由此产生的数据和相关文件将通过HRS网站发布， MiCDA数据飞地中可用的受限数据产品。我们将举办并录制网络研讨会， 会前讲习班（如果接受），向研究界提供关于使用这一新的 数据资源我们将参加美国国立卫生研究院（NIH）将于年在马里兰州贝塞斯达举行的 2023年夏天，分享我们的成果。