Race/Ethnic Disparities in Mild Cognitive Impairment and Dementia: The Northern Manhattan Study Article Swipe
Clinton B. Wright
,
Janet T. DeRosa
,
Michelle Moon
,
Kevin Strobino
,
Charles DeCarli
,
Ying Kuen Cheung
,
Stephanie Assuras
,
Bonnie Levin
,
Yaakov Stern
,
Xiaoyan Sun
,
Tatjana Rundek
,
Mitchell S.V. Elkind
,
Ralph L. Sacco
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.11.07.20210872
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.11.07.20210872
OBJECTIVE Estimate the prevalence of mild cognitive impairment (MCI) and probable dementia in the racially and ethnically diverse community-based Northern Manhattan Study cohort and examine sociodemographic, vascular risk factor, and brain imaging correlates. METHODS Cases of MCI and probable dementia were adjudicated by a team of neuropsychologists and neurologists and prevalence was estimated across race/ethnic groups. Ordinal proportional odds models were used to estimate race/ethnic differences in prevalence rates for MCI or probable dementia adjusting for sociodemographic variables (model 1), model 1 plus potentially modifiable vascular risk factors (model 2), and model 1 plus structural imaging markers of brain integrity (model 3). RESULTS There were 989 participants with cognitive outcome determinations (mean age 69 ± 9 years; 68% Hispanic, 16% Black, 14% White; 62% women; mean (±SD) follow-up five (±0.6) years). Prevalence rates for MCI (20%) and probable dementia (5%) were significantly different by race/ethnicity even after accounting for age and education difference across race-ethnic groups; Hispanic and Black participants had greater prevalence rates than Whites. Adjusting for sociodemographic and brain imaging factors explained the most variance in the race/ethnicity associations. White matter hyperintensity burden explained much of the disparity between Black and White, but not between Hispanic and White, participants. CONCLUSIONS In this diverse community-based cohort, white matter hyperintensity burden partially explained disparities in MCI and dementia prevalence in Black but not Hispanic participants compared to Whites. Longer follow-up and incidence data are needed to further clarify these relationships.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.11.07.20210872
- https://www.medrxiv.org/content/medrxiv/early/2020/11/10/2020.11.07.20210872.full.pdf
- OA Status
- green
- Cited By
- 4
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3105101761
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3105101761Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2020.11.07.20210872Digital Object Identifier
- Title
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Race/Ethnic Disparities in Mild Cognitive Impairment and Dementia: The Northern Manhattan StudyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-11-10Full publication date if available
- Authors
-
Clinton B. Wright, Janet T. DeRosa, Michelle Moon, Kevin Strobino, Charles DeCarli, Ying Kuen Cheung, Stephanie Assuras, Bonnie Levin, Yaakov Stern, Xiaoyan Sun, Tatjana Rundek, Mitchell S.V. Elkind, Ralph L. SaccoList of authors in order
- Landing page
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https://doi.org/10.1101/2020.11.07.20210872Publisher landing page
- PDF URL
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https://www.medrxiv.org/content/medrxiv/early/2020/11/10/2020.11.07.20210872.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2020/11/10/2020.11.07.20210872.full.pdfDirect OA link when available
- Concepts
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Dementia, Ethnic group, Demography, Cohort, Medicine, Gerontology, Epidemiology, Incidence (geometry), Psychology, Internal medicine, Disease, Optics, Sociology, Physics, AnthropologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2024: 1, 2022: 1, 2021: 2Per-year citation counts (last 5 years)
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43Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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