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.

项目摘要/摘要 该项目将创建一个纵向一致的有关健康占领的信息的数据库 退休研究（HRS）。 HRS中的职业信息已使用三种不同的人口普查进行编码 占领编码方案，2010年是最新的。我们建议使用由 受访者在2004年和更早的访谈中，将所有案件重新介绍为2010年的人口普查框架。到 最大化效率，我们将首先利用包括人行横道和国家研究所在内的自动化工具 职业安全与健康（NIOSH）行业和职业计算机编码系统（NIOCC）和 然后，使用专家进行职业编码来手动编码更复杂的案例。我们将将此数据集链接到Rich 来自职业信息网络（O*NET）和词典的工作特征数据 职业头衔（DOT）。 HRS的所有或大部分时间职业的一致职业和行业代码的可用性 与O*NET相关的负责人将为研究人员创造机会解决许多重要的问题 有关美国（美国）的决定者和后果的研究问题 结构。这可能对于研究阿尔茨海默氏病和工作相关的危险因素特别有用 阿尔茨海默氏症相关痴呆症（ADRD），种族和种族差异，植根于种族和种族 占用的差异以及工作的认知和身体需求差异的影响 工人进入退休时的经济安全以及身体和大脑健康。 由此产生的数据和相关文档将通过人力资源网站作为一个 MICDA数据飞地中可用的限制数据产品。我们将举办并记录网络研讨会并进行 前会议研讨会（如果接受）为研究社区提供有关使用此新的培训 数据资源。我们将参加在马里兰州贝塞斯达举行的国家卫生研究院（NIH） 2023年夏季分享我们的结果。