Derivation of Indices of Cognitive Change Among Hispanic Adults and Elders

In this longitudinal study of cognitive change in Hispanic and non-Hispanic older adults who were cognitively unimpaired, standardized regression-based models were influenced by multiple demographic variables, including race and ethnicity. These findings highlight the importance of including race and ethnicity in such cognitive change models. This ability to accurately predict cognitive change is expected to become increasingly important as clinical practice and clinical trials need to become more diverse and culturally appropriate in this burgeoning global medical and societal crisis.

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Publication Details

Journal
JAMA Network Open
Published
2024-09-03
DOI
https://doi.org/10.1001/jamanetworkopen.2024.31180
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.39
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Derivation of Indices of Cognitive Change Among Hispanic Adults and Elders

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Derivation of Indices of Cognitive Change Among Hispanic Adults and Elders

Raymond Palmer, Meredith N. Braskie, Amrita K. Cheema, Bradley Christian, Robert A. Rissman, Shing Yip Lee, Ganesh Muneshwar Babulal, Mónica Rivera Mindt, Matthew Borzage, Lisa L. Barnes, Michael Donohue, Rocky Vig, Robert C. Barber, Kevin M. Duff, Stephanie Large, Jéssica Rodrigues, Rajesh Ranjan Nandy, Kristine S. Yaffe, Raul Vintimilla, Sid E. O’Bryant, Rema Raman, David Mason, Beau M. Ances, Amy Kind, Zhengyang Zhou, Mark E. Mapstone, Carl V. Hill, Roderick McColl, Nicole Phillips, Kevin S. King, Yonggang Shi, Melissa E. Petersen, Michelle M. Mielke, Jorge J. Llibre‐Guerra, Fan Zhang, Leigh Ann Johnson, Justin B. Miller, Ozioma C. Okonkwo, Arthur W. Toga, James Richard Hall, Badri Vardarjaran, Kim Cobos, Annie D. Cohen
article en
1 citations

Abstract

In this longitudinal study of cognitive change in Hispanic and non-Hispanic older adults who were cognitively unimpaired, standardized regression-based models were influenced by multiple demographic variables, including race and ethnicity. These findings highlight the importance of including race and ethnicity in such cognitive change models. This ability to accurately predict cognitive change is expected to become increasingly important as clinical practice and clinical trials need to become more diverse and culturally appropriate in this burgeoning global medical and societal crisis.

JAMA Network OpenVol. 7(9)
University of North Texas (US), Cleveland Clinic (US), University of North Texas Health Science Center (US), Oregon Health & Science University (US), Lou Ruvo Brain Institute (US)
No poverty
Openalex Percentile: Top 36%
Dementia and Cognitive Impairment Research
0.39
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