Evidence map›Paper›PMID 38266219›Full record

ArticleNeurology2024

Associations of Everyday and Lifetime Experiences of Discrimination With Willingness to Undergo Alzheimer Disease Predictive Testing.

Tanisha G Hill-Jarrett, Minhyuk Choi, Peter T Buto, Silvia Miramontes, Marilyn D Thomas, Yulin Yang, Min Hee Kim, Kendra D Sims, M Maria Glymour

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Article in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Tanisha G Hill-JarrettFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0002-6924-0702
Minhyuk ChoiFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0009-0000-6658-5054
Peter T ButoFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0001-5052-6009
Silvia MiramontesFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0001-5805-0500
Marilyn D ThomasFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0003-3245-6363
Yulin YangFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0002-6662-1198
Min Hee KimFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0003-0829-1968
Kendra D SimsFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0002-6740-3002
M Maria GlymourFrom the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco.ORCID 0000-0001-9644-3081
University Memory and Aging Center · US

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
Closing the gap between observational research and randomized trials for prevention of Alzheimer's Disease and dementiaR01AG057869 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAFF, REBECCA ELIZABETH, POWER, MELINDA C · 2018 to 2022
$3.9M
Research Fellowship for Equity in Alzheimer's Disease and Brain HealthT32AG078115 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRUCE L MILLER, VICTOR VALCOUR · 2022 to 2026
$1.7M
Impact of Historically Black Colleges and Universities on Late-life Cognition in Black AdultsR00AG076973 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Marilyn D Thomas · 2024 to 2026
$741k
Impact of Historically Black Colleges and Universities on Late-life Cognition in Black AdultsK99AG076973 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS, MARILYN D · 2022 to 2023
$250k
Racial Disparities in Delayed Dementia Diagnosis: Structural Determinants and Validation of Timeliness MeasuresK99AG078405 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KIM, MIN HEE · 2022 to 2023
$248k
NIA NIH HHS K99 AG076973NIA NIH HHS K99 AG078405NIA NIH HHS R00 AG076973NIA NIH HHS R01 AG057869NIA NIH HHS T32 AG049663NIA NIH HHS T32 AG078115NIGMS NIH HHS T32 GM067547
6 · The paper itself

Abstract

BACKGROUND AND

objectivesRapid developments in Alzheimer disease (AD) biomarker research suggest that predictive testing may become widely available. To ensure equal access to AD predictive testing, it is important to understand factors that affect testing interest. Discrimination may influence attitudes toward AD testing, particularly among racially and ethnically minoritized populations, because of structural racism in health care systems. This study examined whether everyday or lifetime discrimination experiences shape interest in AD predictive testing.

methodsIn the 2010 and 2012 biennial Health and Retirement Study waves, respondents were randomly selected to complete questions on interest in receiving free testing that could determine whether they would develop AD in the future. The exposures were everyday discrimination (6 items) and lifetime discrimination (7 items); both were transformed into a binary variable. Logistic regression models predicting interest in AD testing were controlled for deciles of propensity scores for each discrimination measure. Odds ratios were re-expressed as risk differences (RDs).

resultsOur analytic sample included 1,499 respondents. The mean age was 67 (SD = 10.2) years, 57.4% were women, 65.7% were White, and 80% endorsed interest in AD predictive testing. Most of the participants (54.7%) experienced everyday discrimination in at least one domain; 24.1% experienced major lifetime discrimination in at least one domain. Those interested in predictive testing were younger (66 vs 70 years) and more likely to be Black (20% vs 15%) or Latinx (14% vs 8%) than participants uninterested in testing. The probability of wanting an AD test was not associated with discrimination for Black (RD everyday discrimination = -0.026; 95% CI [-0.081 to 0.029]; RD lifetime discrimination = -0.012; 95% CI [-0.085 to 0.063]) or Latinx (RD everyday discrimination = -0.023, 95% CI [-0.082 to 0.039]; RD lifetime discrimination = -0.011; 95% CI [-0.087 to 0.064]) participants. DISCUSSION: Despite historical and contemporary experiences of discrimination, Black and Latinx individuals express interest in AD testing. However, Black and Latinx individuals remain underrepresented in AD research, including research on AD testing. Interest in personalized information about dementia risk may be a pathway to enhance their inclusion in research and clinical trials.

Indexed as

Alzheimer DiseaseAgedFemaleHumansLogistic ModelsMaleOdds RatioPropensity ScoreRetirement

Identifiers

PMID38266219
PMCPMC11383877
OpenAlexW4391204406

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