This is a competing continuation proposal for Years 23-28 of the Health and Retirement Study (HRS) cooperative agreement, in response to NIA RFA #AG-12-001. We propose to continue core data collection on the steady-state design laid out in the two previous renewal cycles, and collect biomarkers and measures of physical performance in in-person interviews on the rotating half-sample design established in the previous cycle. HRS provides a uniquely rich, nationally representative longitudinal dataset for the community of scientific and policy researchers who study the health, economics and demography of aging. It provides a research data base that can simultaneously support cross-sectional descriptions of the U.S. population over the age of fifty, longitudinal studies of a given cohort over a substantia period of time and research on cross-cohort trends. The HRS project creates a data system extending beyond the core survey data. One component of this extended data system consists of linkages to administrative data, including Social Security earnings and benefit records, Medicare utilization and diagnostic records, employer pension records, and the National Death Index. We plan to expand these linkages to include Medicaid records, links to Veteran's Administration data, and information on nursing home residents from the Minimum Data Set. Another component is genome-wide genotyping data from consenting respondents that will be available in dbGaP by the start of this next renewal cycle. The HRS provides public use data designed to allow the full power and creativity of America's scientific community to address the challenges of an aging population. The HRS is making a significant impact on research on aging through investigator-initiated research which uses the HRS as an input without charge to researchers or granting agencies. Over 1,000 peer-reviewed journal publications by over 1,000 different authors and co-authors and over 200 doctoral dissertations have appeared based on the HRS.

Public Health Relevance

The Health and Retirement Study is the nation's pre-eminent resource for publicly-available data on the economic well-being and physical and mental health of its older population. Its longitudinal design allows rigorous examination of causal pathways among social, psychological, economic, and health variables and the impact of policy changes on these relationships.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01AG009740-25S3
Application #
8926488
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Patmios, Georgeanne E
Project Start
1998-01-01
Project End
2017-12-31
Budget Start
2014-09-30
Budget End
2014-12-31
Support Year
25
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Miscellaneous
Type
Organized Research Units
DUNS #
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
DiPrete, Thomas A; Burik, Casper A P; Koellinger, Philipp D (2018) Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data. Proc Natl Acad Sci U S A 115:E4970-E4979
Jadhav, Apoorva; Weir, David (2018) Widowhood and Depression in a Cross-National Perspective: Evidence from the United States, Europe, Korea, and China. J Gerontol B Psychol Sci Soc Sci 73:e143-e153
Schwartz, Ella; Khalaila, Rabia; Litwin, Howard (2018) Contact frequency and cognitive health among older adults in Israel. Aging Ment Health :1-9
Ornstein, Katherine A; Garrido, Melissa M; Siu, Albert L et al. (2018) Impact of In-Hospital Death on Spending for Bereaved Spouses. Health Serv Res 53 Suppl 1:2696-2717
Schoeni, Robert F; Freedman, Vicki A; Langa, Kenneth M (2018) Introduction to a Supplement on Population Level Trends in Dementia: Causes, Disparities, and Projections. J Gerontol B Psychol Sci Soc Sci 73:S1-S9
Foverskov, Else; Glymour, M Maria; Mortensen, Erik L et al. (2018) Education and Cognitive Aging: Accounting for Selection and Confounding in Linkage of Data From the Danish Registry and Survey of Health, Ageing and Retirement in Europe. Am J Epidemiol 187:2423-2430
Crimmins, Eileen M; Saito, Yasuhiko; Kim, Jung Ki et al. (2018) Educational Differences in the Prevalence of Dementia and Life Expectancy with Dementia: Changes from 2000 to 2010. J Gerontol B Psychol Sci Soc Sci 73:S20-S28
Abeliansky, Ana Lucia; Strulik, Holger (2018) How We Fall Apart: Similarities of Human Aging in 10 European Countries. Demography 55:341-359
Yashin, Anatoliy I; Fang, Fang; Kovtun, Mikhail et al. (2018) Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Exp Gerontol 107:148-160
Carr, Ewan; Fleischmann, Maria; Goldberg, Marcel et al. (2018) Occupational and educational inequalities in exit from employment at older ages: evidence from seven prospective cohorts. Occup Environ Med 75:369-377

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