Health and Aging Brain Study–Health Disparities (HABS‐HD) methods and partner characteristics Article Swipe
Melissa Petersen
,
Zhengyang Zhou
,
James Hall
,
Nicole Phillips
,
Karin L. Meeker
,
Matthew Borzage
,
Meredith N. Braskie
,
Alexandra L. Clark
,
Yonggang Shi
,
Robert A. Rissman
,
Fan Zhang
,
Raul Vintimilla
,
Antonio Casas
,
Jo Rhodes
,
Robert C. Barber
,
Leigh Johnson
,
Kristine Yaffe
,
Arthur W. Toga
,
Sid E. O’Bryant
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/trc2.70140
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/trc2.70140
INTRODUCTION The Health and Aging Brain Study–Health Disparities (HABS‐HD) is an ongoing prospective study aimed at understanding brain health and aging. The current work provides a description of the cohort baseline characteristics and outlines the study methodology. METHODS We analyzed available data from n = 1066 non‐Hispanic Black (NHB), n = 1425 Hispanic, and n = 1349 non‐Hispanic White (NHW) partners who were actively enrolled in HABS‐HD. Descriptive statistics are presented for each racial/ethnic group across demographic, medical, and diagnostic characteristics. Differences in select amyloid (A), tau (T), and neurodegenerative (N) biomarkers spanning proteomic and neuroimaging were examined along with groupwise differences for cognitive test performance and select social determinants of health (SDoH) factors. RESULTS The characteristics of the cohort revealed significant groupwise differences in age, education, sex, and cognitive diagnosis. Higher rates of cognitive impairment (mild cognitive impairment [MCI] and dementia) were found in NHB and Hispanic compared to NHW partners, despite the latter group being older. There were also higher rates of hypertension and diabetes among NHB and Hispanic compared to NHW partners. Differences were also found across many plasma (A/T[N]) biomarkers and select neuroimaging measures, including meta‐region of interest and white matter hyperintensities. Positron emission tomography amyloid positivity rates (but not tau positivity) were found to differ, with higher rates observed among NHW (15% amyloid positivity) compared to NHB (3%) partners. Groups also differed by select SDoH factors, including household income, insurance, having a health‐care provider, and Area Deprivation Index. All cognitive measures also revealed groupwise differences. DISCUSSION The baseline cohort characteristics for HABS‐HD reveal significant group differences spanning demographic, medical, cognitive, and biological factors (including A/T[N] biomarkers), which are all critical to understand as they relate to aging and age‐related diseases. Highlights The Health and Aging Brain Study–Health Disparities (HABS‐HD) cohort baseline characteristics and study methodology were provided. Cohort characteristic differences were found across demographic factors, including age, education, sex, and cognitive diagnosis across the representative groups. Biomarkers for amyloid/tau/neurodegeneration spanning blood and neuroimaging were shown to differ as well across cohort groups. Positivity rates for amyloid positron emission tomography were lower for non‐Hispanic Black partners in the cohort compared to non‐Hispanic White partners.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/trc2.70140
- OA Status
- gold
- Cited By
- 4
- References
- 39
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413111294Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/trc2.70140Digital Object Identifier
- Title
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Health and Aging Brain Study–Health Disparities (HABS‐HD) methods and partner characteristicsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-01Full publication date if available
- Authors
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Melissa Petersen, Zhengyang Zhou, James Hall, Nicole Phillips, Karin L. Meeker, Matthew Borzage, Meredith N. Braskie, Alexandra L. Clark, Yonggang Shi, Robert A. Rissman, Fan Zhang, Raul Vintimilla, Antonio Casas, Jo Rhodes, Robert C. Barber, Leigh Johnson, Kristine Yaffe, Arthur W. Toga, Sid E. O’BryantList of authors in order
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https://doi.org/10.1002/trc2.70140Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1002/trc2.70140Direct OA link when available
- Concepts
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Dementia, Gerontology, Cognitive decline, Neuroimaging, Medicine, Health equity, Cognition, Cohort, Psychology, Disease, Internal medicine, Psychiatry, Public health, PathologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.current | 23 |
| abstract_inverted_index.despite | 153 |
| abstract_inverted_index.differ, | 210 |
| abstract_inverted_index.factors | 268 |
| abstract_inverted_index.groups. | 321, 337 |
| abstract_inverted_index.income, | 234 |
| abstract_inverted_index.ongoing | 12 |
| abstract_inverted_index.(A/T[N]) | 183 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Hispanic | 148, 171 |
| abstract_inverted_index.Positron | 197 |
| abstract_inverted_index.actively | 64 |
| abstract_inverted_index.analyzed | 40 |
| abstract_inverted_index.baseline | 31, 253, 296 |
| abstract_inverted_index.compared | 149, 172, 220, 354 |
| abstract_inverted_index.critical | 275 |
| abstract_inverted_index.diabetes | 167 |
| abstract_inverted_index.differed | 227 |
| abstract_inverted_index.emission | 198, 343 |
| abstract_inverted_index.enrolled | 65 |
| abstract_inverted_index.examined | 98 |
| abstract_inverted_index.factors, | 231, 310 |
| abstract_inverted_index.factors. | 114 |
| abstract_inverted_index.interest | 192 |
| abstract_inverted_index.measures | 246 |
| abstract_inverted_index.medical, | 78, 264 |
| abstract_inverted_index.observed | 214 |
| abstract_inverted_index.outlines | 34 |
| abstract_inverted_index.partners | 61, 350 |
| abstract_inverted_index.positron | 342 |
| abstract_inverted_index.provides | 25 |
| abstract_inverted_index.revealed | 121, 248 |
| abstract_inverted_index.spanning | 93, 262, 325 |
| abstract_inverted_index.HABS‐HD | 257 |
| abstract_inverted_index.Hispanic, | 53 |
| abstract_inverted_index.available | 41 |
| abstract_inverted_index.cognitive | 104, 130, 135, 138, 245, 316 |
| abstract_inverted_index.dementia) | 142 |
| abstract_inverted_index.diagnosis | 317 |
| abstract_inverted_index.diseases. | 285 |
| abstract_inverted_index.groupwise | 101, 123, 249 |
| abstract_inverted_index.household | 233 |
| abstract_inverted_index.including | 189, 232, 311 |
| abstract_inverted_index.measures, | 188 |
| abstract_inverted_index.partners, | 152 |
| abstract_inverted_index.partners. | 175, 224, 358 |
| abstract_inverted_index.presented | 71 |
| abstract_inverted_index.proteomic | 94 |
| abstract_inverted_index.provided. | 302 |
| abstract_inverted_index.provider, | 239 |
| abstract_inverted_index.(including | 269 |
| abstract_inverted_index.Biomarkers | 322 |
| abstract_inverted_index.DISCUSSION | 251 |
| abstract_inverted_index.HABS‐HD. | 67 |
| abstract_inverted_index.Highlights | 286 |
| abstract_inverted_index.Positivity | 338 |
| abstract_inverted_index.biological | 267 |
| abstract_inverted_index.biomarkers | 92, 184 |
| abstract_inverted_index.cognitive, | 265 |
| abstract_inverted_index.diagnosis. | 131 |
| abstract_inverted_index.diagnostic | 80 |
| abstract_inverted_index.education, | 127, 313 |
| abstract_inverted_index.impairment | 136, 139 |
| abstract_inverted_index.insurance, | 235 |
| abstract_inverted_index.positivity | 201 |
| abstract_inverted_index.statistics | 69 |
| abstract_inverted_index.tomography | 199, 344 |
| abstract_inverted_index.understand | 277 |
| abstract_inverted_index.(HABS‐HD) | 9, 294 |
| abstract_inverted_index.Deprivation | 242 |
| abstract_inverted_index.Descriptive | 68 |
| abstract_inverted_index.Differences | 82, 176 |
| abstract_inverted_index.Disparities | 8, 293 |
| abstract_inverted_index.demographic | 309 |
| abstract_inverted_index.description | 27 |
| abstract_inverted_index.differences | 102, 124, 261, 305 |
| abstract_inverted_index.methodology | 300 |
| abstract_inverted_index.performance | 106 |
| abstract_inverted_index.positivity) | 206, 219 |
| abstract_inverted_index.prospective | 13 |
| abstract_inverted_index.significant | 122, 259 |
| abstract_inverted_index.INTRODUCTION | 1 |
| abstract_inverted_index.biomarkers), | 271 |
| abstract_inverted_index.demographic, | 77, 263 |
| abstract_inverted_index.determinants | 110 |
| abstract_inverted_index.differences. | 250 |
| abstract_inverted_index.hypertension | 165 |
| abstract_inverted_index.methodology. | 37 |
| abstract_inverted_index.neuroimaging | 96, 187, 328 |
| abstract_inverted_index.age‐related | 284 |
| abstract_inverted_index.health‐care | 238 |
| abstract_inverted_index.meta‐region | 190 |
| abstract_inverted_index.racial/ethnic | 74 |
| abstract_inverted_index.understanding | 17 |
| abstract_inverted_index.Study–Health | 7, 292 |
| abstract_inverted_index.characteristic | 304 |
| abstract_inverted_index.non‐Hispanic | 47, 58, 348, 356 |
| abstract_inverted_index.representative | 320 |
| abstract_inverted_index.characteristics | 32, 117, 255, 297 |
| abstract_inverted_index.characteristics. | 81 |
| abstract_inverted_index.hyperintensities. | 196 |
| abstract_inverted_index.neurodegenerative | 90 |
| abstract_inverted_index.amyloid/tau/neurodegeneration | 324 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 19 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | No poverty |
| citation_normalized_percentile.value | 0.98161514 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |