Open Access Research article

A prospective cohort study of long-term cognitive changes in older Medicare beneficiaries

Fredric D Wolinsky123*, Suzanne E Bentler1, Jason Hockenberry14, Michael P Jones45, Paula A Weigel1, Brian Kaskie1 and Robert B Wallace26

Author Affiliations

1 Department of Health Management and Policy, College of Public Health, the University of Iowa, Iowa City, Iowa, USA

2 Department of Internal Medicine, Carver College of Medicine, the University of Iowa, Iowa City, Iowa USA

3 Department of Adult Nursing, College of Nursing, the University of Iowa, Iowa City, Iowa USA

4 Comprehensive Access and Delivery Evaluation and Research Center (CADRE), Iowa City Veterans Administration Medical Center, Iowa City, Iowa, USA

5 Department of Biostatistics, College of Public Health, the University of Iowa, Iowa City, Iowa, USA

6 Department of Epidemiology, College of Public Health, the University of Iowa, Iowa City, Iowa, USA

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BMC Public Health 2011, 11:710  doi:10.1186/1471-2458-11-710

Published: 20 September 2011

Abstract

Background

Promoting cognitive health and preventing its decline are longstanding public health goals, but long-term changes in cognitive function are not well-documented. Therefore, we first examined long-term changes in cognitive function among older Medicare beneficiaries in the Survey on Assets and Health Dynamics among the Oldest Old (AHEAD), and then we identified the risk factors associated with those changes in cognitive function.

Methods

We conducted a secondary analysis of a prospective, population-based cohort using baseline (1993-1994) interview data linked to 1993-2007 Medicare claims to examine cognitive function at the final follow-up interview which occurred between 1995-1996 and 2006-2007. Besides traditional risk factors (i.e., aging, age, race, and education) and adjustment for baseline cognitive function, we considered the reason for censoring (entrance into managed care or death), and post-baseline continuity of care and major health shocks (hospital episodes). Residual change score multiple linear regression analysis was used to predict cognitive function at the final follow-up using data from telephone interviews among 3,021 to 4,251 (sample size varied by cognitive outcome) baseline community-dwelling self-respondents that were ≥ 70 years old, not in managed Medicare, and had at least one follow-up interview as self-respondents. Cognitive function was assessed using the 7-item Telephone Interview for Cognitive Status (TICS-7; general mental status), and the 10-item immediate and delayed (episodic memory) word recall tests.

Results

Mean changes in the number of correct responses on the TICS-7, and 10-item immediate and delayed word recall tests were -0.33, -0.75, and -0.78, with 43.6%, 54.9%, and 52.3% declining and 25.4%, 20.8%, and 22.9% unchanged. The main and most consistent risks for declining cognitive function were the baseline values of cognitive function (reflecting substantial regression to the mean), aging (a strong linear pattern of increased decline associated with greater aging, but with diminishing marginal returns), older age at baseline, dying before the end of the study period, lower education, and minority status.

Conclusions

In addition to aging, age, minority status, and low education, substantial and differential risks for cognitive change were associated with sooner vs. later subsequent death that help to clarify the terminal drop hypothesis. No readily modifiable protective factors were identified.