Predicted Cognition and Dementia Measures

This is a researcher contributed dataset that provides predicted cognition and dementia measures developed in Hudomiet, Hurd, and Rohwedder (2022).

Contributed projects based on HRS public data are provided by researchers who want to share their work with the research community. Researchers interested in contributing their own products are invited to contact us at hrsquestions@umich.edu. HRS does not produce or support these products and is not responsible for their content or use. They are provided here as a service to the research community.

This dataset contains five cognition and dementia measures:

1. PrDem: Estimated probability of dementia of the person-year observation.
2. PrCIND: Estimated probability of “cognitive impairment, not dementia” (CIND).
3. PrNorm: Estimated probability of normal cognitive status (i.e., neither dementia nor CIND).
4. Cog: Expected value of latent cognitive ability
5. CogSd: The standard deviation of latent cognitive ability (i.e., the precision of the Cog estimate)

The measures are available for all HRS respondents above age 65 between the 2000 and 2016 waves. There are 97,629 person-year observation from 21,442 individuals.

Reference

Hudomiet, P., Hurd, M. D., & Rohwedder, S. (2022). Trends in Inequalities in the Prevalence of Dementia in the U.S. Proceedings of the National Academy of Sciences of the United States of America. 119(46). https://doi.org/10.1073/pnas.2212205119 PMID: 36343247. PMCID: PMC9674270.