Evidence map›Paper›PMID 41223343›Full record

ArticleNeurology2025

Income, Race-Ethnicity, and Dementia Risk Factors in the United States.

Eric L Stulberg, Chaorong Wu, Connor A Law, Behnam Sabayan, Holly Elser, Amit Kumar, Alexander R Zheutlin, Adam P Bress, David A Wolk, Kristin Rising and 4 more

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Eric L StulbergDepartment of Neurology, University of Pennsylvania, Philadelphia.ORCID 0000-0002-3075-4597
Chaorong WuDepartment of Epidemiology, University of Utah, Salt Lake City.
Connor A LawDepartment of Neurology, University of Pennsylvania, Philadelphia.ORCID 0009-0008-5084-7089
Behnam SabayanHennepin Healthcare Research Institute, Minneapolis, MN.ORCID 0000-0002-1176-9152
Holly ElserDepartment of Neurology, University of Pennsylvania, Philadelphia.ORCID 0000-0003-1781-904X
Amit KumarDepartment of Physical Therapy and Athletic Training, University of Utah, Salt Lake City.
Alexander R ZheutlinDepartment of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL.
Adam P BressDepartment of Population Health, University of Utah, Salt Lake City.ORCID 0000-0002-2259-5039
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia.ORCID 0000-0002-3554-3481
Kristin RisingDepartment of Emergency Medicine, Sidney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, PA.
Robin CastenDepartment of Psychiatry and Human Behavior, Sidney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, PA.
Barry RovnerDepartment of Psychiatry and Human Behavior, Sidney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, PA.
Adam de HavenonDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, CT; and.ORCID 0000-0001-8178-8597
Andrea Lauren Christman SchneiderDepartment of Neurology, University of Pennsylvania, Philadelphia.ORCID 0000-0003-0026-5052

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI A. Clementina Mesaros · 2006 to 2026
$35.3M
RESEARCH TRAINING IN CVD EPIDEMIOLOGY AND PREVENTIONT32HL069771 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Mercedes Renee Carnethon · 2003 to 2026
$5.9M
Race and Medicare-Medicaid Dual Enrollment Disparities in Access to Quality and Intensity of Post-Acute Rehabilitation Care and Health Outcomes in Patients with StrokeR01MD017719 · NIMHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Amit Kumar · 2022 to 2026
$2.8M
Blood Pressure Variability and Ischemic Stroke Outcome (BP-VISO)R01NS130189 · NINDS · YALE UNIVERSITY · PI Adam H. de Havenon · 2023 to 2026
$2.0M
CAPTIVA-MRIUG3NS130228 · NINDS · YALE UNIVERSITY · PI AMIN-HANJANI, SEPIDEH, CHATTERJEE, ARINDAM R. · 2023 to 2023
$1.9M
Establishing Mechanisms Between Traumatic Brain Injury and Dementia Using Epidemiology, Clinical Studies, Blood-Based Biomarkers, and Neuroimaging BiomarkersK23NS123340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider · 2022 to 2026
$1.1M
Treatment Targets for Inflamed Intracranial Atherosclerosis on Vessel Wall MRIK23NS105924 · NINDS · YALE UNIVERSITY · PI DE HAVENON, ADAM H. · 2019 to 2023
$988k
Functional Biomarkers for Prediction of Hospitalization, Long-Term Care Placement, and Mortality in Older Adults with Cardiometabolic MultimorbidityR15AG070730 · NIA · MGH INSTITUTE OF HEALTH PROFESSIONS · PI GORE, SHWETA, KUMAR, AMIT · 2022 to 2022
$501k
NHLBI NIH HHS T32 HL069771NIA NIH HHS R15 AG070730NIEHS NIH HHS P30 ES013508NIMHD NIH HHS R01 MD017719NINDS NIH HHS K23 NS105924NINDS NIH HHS K23 NS123340NINDS NIH HHS R01 NS130189NINDS NIH HHS UG3 NS130228
6 · The paper itself

Abstract

objectivesTo determine population attributable fractions (PAFs) of modifiable dementia risk factors by income, and independent and interactive associations of race-ethnicity and income with each risk factor and cumulative number of midlife risk factors.

methodsThis nationally representative cross-sectional study of the 1999-2008, 2011-2014, and primarily the 2015-2018 National Health and Nutrition Examination Surveys comprised of individuals aged 18-44, 45-64, and 65+ years for early-life, midlife, and late-life analyses, respectively. Income was operationalized using the poverty-income ratio. The primary outcomes were PAFs and prevalence ratios (PR) of the 13 individual-level dementia risk factors and cumulative number of midlife risk factors.

resultsThere were 13,145 individuals with risk factor data between 2015 and 2018 (51.1% aged 18-44, 31.0% aged 45-64, and 17.9% aged ≥65 years; 51.5% female after survey-weighting). Higher income was associated with lower prevalence of each dementia risk factor except obesity, high LDL, and TBI. The highest PAF for those with incomes <100% of the federal poverty level was late-life vision loss (20.9%, 95% CI 16.8%-25.2%). Higher income was associated with lower number of midlife risk factors (PR: 0.91, 95% CI 0.89-0.94). Race-ethnicity categories historically-underrepresented in dementia studies were associated with midlife diabetes, obesity, physical inactivity, and late-life vision loss. DISCUSSION: Lower income and historically underrepresented race-ethnicity categories are associated with many dementia risk factors. Dementia prevention efforts may be more successful by targeting modifiable risk factors in these higher-risk populations.

Indexed as

DementiaIncomeAdolescentAdultAgedCross-Sectional StudiesEthnicityFemaleHumansMaleMiddle AgedNutrition SurveysPovertyPrevalenceRacial GroupsRisk Factors

Identifiers

PMID41223343
PMCPMC12640006

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.