Health Care Access and Cognitive Function in Older Adults: A Cross-Lagged Panel Longitudinal Analysis

被引:2
作者
Du, Chenguang [1 ,5 ]
Katz, Benjamin [2 ,3 ]
Shrestha, Prabisha [1 ]
Hori, Kazuki [4 ]
Dave, Gaurav [1 ]
机构
[1] Univ North Carolina Chapel Hill, Chapel Hill, NC USA
[2] Virginia Polytech Inst & State Univ, Blacksburg, VA USA
[3] State Univ, Blacksburg, VA USA
[4] Benesse Educ Res & Dev Inst, Tokyo, Japan
[5] Univ North Carolina Chapel Hill, Sch Med, 532 Domin Oak Circle, Chapel Hill, NC 27599 USA
关键词
cross-lagged panel analysis; health retirement study; cognitive function; health care access; BEHAVIORAL-MODEL; MEDICAL-CARE; DECLINE; LITERACY; SERVICE; SUPPORT; IMPACT;
D O I
10.1177/07334648241230015
中图分类号
R4 [临床医学]; R592 [老年病学];
学科分类号
1002 ; 100203 ; 100602 ;
摘要
Objective: 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. Methods: Drawing a sample (n = 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. Results: 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. Discussions: 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.
引用
收藏
页码:1060 / 1068
页数:9
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