# Enhancing Retrospective Life History Data in the Health and Retirement Study- Renewal

> **NIH NIH R01** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2021 · $1,686,515

## Abstract

The mysteries of specific mechanisms underlying Alzheimer’s Disease (AD) and Alzheimer's-Disease-Related
Dementias (ADRD) are still being solved, as is understanding individual differences in susceptibility to
differential rates of age-related cognitive decline and brain pathology. Proposals about sources, functions, and
mechanisms associated with so-called cognitive reserve are central to one prominent theory about differential
susceptibility. Although there is considerable debate about the precise operationalization of cognitive reserve,
theory and research suggests that individuals possessing greater amounts of cognitive reserve are better able
to cope with higher levels of brain pathology or other neurological insult before reaching clinical thresholds of
progressive dementia-related impairment. Implicit in this theory is the possibility that cognitive reserve might be
a modifiable risk factor. Given this assumption, much social science and public health research has focused on
identifying societal and behavioral factors that contribute to the accumulation of cognitive reserve and account
for secular trends in the prevalence of dementia. Educational attainment and occupation are two factors
consistently invoked as potential sources of cognitive reserve but important gaps remain in understanding what
aspects of educational and occupational experience are important, why, and for whom. We propose to
leverage two new opportunities in the Health and Retirement Study (HRS) to examine some of these gaps.
First, in the initial cycle of the project, we developed a Life History Mail Study (LHMS). The LHMS (fielded in
2015 and 2017) provides important insight into the content, quality, and contexts of early and lifelong education
together with characteristics of job histories. This detail considerably enhances the scope and richness of
information about these two factors and opens possibilities to link to historical administrative data. To date,
most population research on older adults has been restricted to limited information about the number of years
of early-life education and highest degree, and the characteristics of the last or longest job. In addition to the
content and characteristics of education and jobs, the new LHMS data provide important information about
lifetime exposures and trajectories (e.g., lifelong education, career progression, changes in job complexity, and
trajectory disruptions). Second, in 2016, as part of a Healthy Cognitive Aging Project (HCAP), HRS introduced
a new cognitive battery designed to identify progressive cognitive decline linked to ADRD after age 65. This
extends the cognitive performance measures collected longitudinally in each HRS biennial wave. We will take
advantage of this opportunity to examine hypotheses about the contributions of educational and occupational
histories to differential late-life cognitive decline and dementia. To complete our analyses and continue to
enhance the public-use HRS life history...

## Key facts

- **NIH application ID:** 10216154
- **Project number:** 5R01AG051142-07
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Jacqui Smith
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,686,515
- **Award type:** 5
- **Project period:** 2015-09-15 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10216154

## Citation

> US National Institutes of Health, RePORTER application 10216154, Enhancing Retrospective Life History Data in the Health and Retirement Study- Renewal (5R01AG051142-07). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10216154. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*
