Health Care Access and Cognitive Function in Older Adults: A Cross-Lagged Panel Longitudinal Analysis
<strong>Objective:</strong> The current longitudinal study examined how (1) cognitive measures, including episodic memory, executive function, and global cognition, predict later healthcare access and how (2) healthcare access predicts later cognition. <strong>Methods:</strong> Drawing a sample (<em>n</em> = 9920) from the Health and Retirement Study dataset, we created a cross-lagged panel model to examine the longitudinal association between cognitive measures and healthcare access from 2012 to 2018. <strong>Results:</strong> Results revealed that cognitive measures significantly predict later healthcare access, with effects increasing across waves. However, within sub-domains, memory was more predictive of later healthcare access over time compared to executive function. <strong>Discussions:</strong> Our study suggested an increased link between cognition and healthcare access during aging. Even outside of the context of AD, there are likely both policy-based and practical implications to ensure those experiencing cognitive decline continue to maintain access to care.
Authors
- Prabisha Shrestha (ORCID: https://orcid.org/0000-0002-3479-4780)
- Kazuki Hori (ORCID: https://orcid.org/0000-0002-1211-2988)
- Chenguang Du (ORCID: https://orcid.org/0000-0001-8616-7300)
- Gaurav Dave (ORCID: https://orcid.org/0000-0003-0825-1595)
- Benjamin Katz (ORCID: https://orcid.org/0000-0002-5612-7540)
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2025-02-13
- DOI
- https://doi.org/10.17615/y2ca-pg20
- Primary Topic
- Global Health Care Issues
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute on Aging