scholarly journals Longitudinal Trajectories of Cognitive Decline among Older Adults with Cardiovascular Disease

2010 ◽  
Vol 30 (4) ◽  
pp. 362-373 ◽  
Author(s):  
Ozioma C. Okonkwo ◽  
Ronald A. Cohen ◽  
John Gunstad ◽  
Geoffrey Tremont ◽  
Michael L. Alosco ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Older Adults ◽  
Cognitive Decline ◽  
Longitudinal Trajectories

scholarly journals Associations of peak width of skeletonized mean diffusivity with cardiovascular disease risk and cognitive decline in clinically normal older adults

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Matthew R. Scott ◽  
Aaron P. Schultz ◽  
Rachel F. Buckley ◽  
Hsiang‐Chin Lori Chou ◽  
Olivia L Hampton ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Older Adults ◽  
Cognitive Decline ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Mean Diffusivity ◽  
Peak Width ◽  
Clinically Normal

scholarly journals Elevated C-Reactive Protein Is Related to Cognitive Decline in Older Adults with Cardiovascular Disease

2008 ◽  
Vol 56 (10) ◽  
pp. 1898-1903 ◽  
Author(s):  
Karin F. Hoth ◽  
Andreana P. Haley ◽  
John Gunstad ◽  
Robert H. Paul ◽  
Athena Poppas ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Older Adults ◽  
Cognitive Decline ◽  
C Reactive Protein ◽  
Reactive Protein

Latent Cognitive Class at Enrollment Predicts Future Cognitive Trajectories of Decline in a Community Sample of Older Adults

2021 ◽  
pp. 1-12
Author(s):  
Andrea R. Zammit ◽  
Jingyun Yang ◽  
Aron S. Buchman ◽  
Sue E. Leurgans ◽  
Graciela Muniz-Terrera ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Latent Variable ◽  
Community Sample ◽  
Cognitive Change ◽  
Cognitive Profiles ◽  
Longitudinal Trajectories ◽  
Variable Approach ◽  
Latent Variable Methods

Background: Methods that can identify subgroups with different trajectories of cognitive decline are crucial for isolating the biologic mechanisms which underlie these groupings. Objective: This study grouped older adults based on their baseline cognitive profiles using a latent variable approach and tested the hypothesis that these groups would differ in their subsequent trajectories of cognitive change. Methods: In this study we applied time-varying effects models (TVEMs) to examine the longitudinal trajectories of cognitive decline across different subgroups of older adults in the Rush Memory and Aging Project. Results: A total of 1,662 individuals (mean age = 79.6 years, SD = 7.4, 75.4%female) participated in the study; these were categorized into five previously identified classes of older adults differing in their baseline cognitive profiles: Superior Cognition (n = 328, 19.7%), Average Cognition (n = 767, 46.1%), Mixed-Domains Impairment (n = 71, 4.3%), Memory-Specific Impairment (n = 274, 16.5%), and Frontal Impairment (n = 222, 13.4%). Differences in the trajectories of cognition for these five classes persisted during 8 years of follow-up. Compared with the Average Cognition class, The Mixed-Domains and Memory-Specific Impairment classes showed steeper rates of decline, while other classes showed moderate declines. Conclusion: Baseline cognitive classes of older adults derived through the use of latent variable methods were associated with distinct longitudinal trajectories of cognitive decline that did not converge during an average of 8 years of follow-up.

Activity Engagement in Cognitive Aging: A Review of the Evidence

2013 ◽  
Vol 23 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Yvonne Rogalski ◽  
Muriel Quintana
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Social Activity ◽  
Current Evidence ◽  
Omega 3 ◽  
Neuroprotective Effects ◽  
Activity Engagement ◽  
Age Related ◽  
Age Related Cognitive Decline

The population of older adults is rapidly increasing, as is the number and type of products and interventions proposed to prevent or reduce the risk of age-related cognitive decline. Advocacy and prevention are part of the American Speech-Language-Hearing Association’s (ASHA’s) scope of practice documents, and speech-language pathologists must have basic awareness of the evidence contributing to healthy cognitive aging. In this article, we provide a brief overview outlining the evidence on activity engagement and its effects on cognition in older adults. We explore the current evidence around the activities of eating and drinking with a discussion on the potential benefits of omega-3 fatty acids, polyphenols, alcohol, and coffee. We investigate the evidence on the hypothesized neuroprotective effects of social activity, the evidence on computerized cognitive training, and the emerging behavioral and neuroimaging evidence on physical activity. We conclude that actively aging using a combination of several strategies may be our best line of defense against cognitive decline.

Hydration and Cognitive Function in Older Adults With Cardiovascular Disease

2008 ◽  
Author(s):  
John Gunstad ◽  
Mary B. Spitznagel ◽  
Kelly Stanek ◽  
Faith Luyster ◽  
James Rosneck ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Older Adults ◽  
Cognitive Function

Cognitive Flexibility Difficulties Predict Cognitive Decline in Older Adults

2010 ◽  
Author(s):  
Lindsay R. Clark ◽  
Eric M. Fine ◽  
Gali H. Weissberger ◽  
David P. Salmon ◽  
Dean C. Delis ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Flexibility

Myelodysplastic Syndromes and the Risk of Cardiovascular Disease in Older Adults: A SEER-Medicare Analysis

2019 ◽  
Author(s):  
Diego Adrianzen Herrera ◽  
Kith Pradhan ◽  
Rose Snyder ◽  
Siddharth Karanth ◽  
Murali Janakiram ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Older Adults ◽  
Myelodysplastic Syndromes
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