Evidence map›Paper›PMID 39351858›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Socioeconomic and medical determinants of state-level subjective cognitive decline in the United States.

Adam de Havenon, Eric L Stulberg, Lauren Littig, Ka-Ho Wong, Daniel Sarpong, Vivian Li, Richa Sharma, Guido J Falcone, Jeff D Williamson, Nicholas M Pajewski and 3 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Lifecourse socioeconomic status and subjective cognitive decline among diverse older adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Socioeconomic and medical determinants of state-level subjective cognitive decline in the United States.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  7. 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

13 authors.

Adam de HavenonDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-8178-8597
Eric L StulbergDepartment of Neurology, University of Utah, Salt Lake City, Utah, USA.
Lauren LittigDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0009-0005-7389-0328
Ka-Ho WongDepartment of Neurology, University of Utah, Salt Lake City, Utah, USA.
Daniel SarpongDepartment of General Internal Medicine, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Vivian LiDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Richa SharmaDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Guido J FalconeDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Jeff D WilliamsonDepartment of Internal Medicine, Geriatrics and Gerontology and the Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Nicholas M PajewskiDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA.
Adam M BrickmanDepartment of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, USA.
Kevin N ShethDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Daniella Meeker · 2019 to 2026
$125.9M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SHANNON L RISACHER · 2021 to 2026
$24.3M
Anticoagulation in ICH Survivors for Prevention and Recovery (ASPIRE)U01NS106513 · NINDS · YALE UNIVERSITY · PI Hooman Kamel, Kevin Navin Sheth · 2019 to 2026
$20.6M
Alzheimer Diagnosis in older Adults with Chronic Conditions ADACC NetworkU24AG082930 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicole R. Fowler, Thomas K Karikari · 2023 to 2026
$7.3M
Social networks and risk of delayed arrival to the hospital during strokeR01MD016178 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Amar Dhand, Kevin Navin Sheth · 2022 to 2026
$3.7M
Portable, Low Field Brain Magnetic Resonance Imaging (MRI) for Acute StrokeR01EB031114 · NIBIB · YALE UNIVERSITY · PI William Taylor Kimberly, Matthew Scot Rosen · 2022 to 2026
$3.5M
The Recovery in Stroke Using PAP (RISE UP) StudyR01NR018335 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S, SHETH, KEVIN NAVIN · 2019 to 2023
$3.4M
Southern New England Partnership In Stroke Research, Innovation and Treatment (SPIRIT)U24NS107215 · NINDS · YALE UNIVERSITY · PI MARK Jay ALBERTS, Karen L Furie · 2018 to 2026
$3.0M
CAPTIVA-MRIUH3NS130228 · NINDS · YALE UNIVERSITY · PI Sepideh Amin-Hanjani, Arindam Rano Chatterjee · 2025 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
National Institutes of Health (NIH)/National Institute of Neurological Disorders and Stroke (NINDS) K23NS121634NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R38 HL143605NHLBI NIH HHS R38 HL167282NIA NIH HHS P30 AG072947NIA NIH HHS U24 AG082930NIA NIH HHS U54 AG063546NIBIB NIH HHS R01 EB031114NIH/NHLBI 1R38HL167282-01NIH/NIA U24AG082930NIH/NIA U54AG063546NIH-NINDS American Heart Association Bugher AwardNIH-NINDS R01EB301114NIH-NINDS R01MD016178NIH-NINDS R01NR018335NIH-NINDS R01NS110721NIH-NINDS U01NS106513NIH-NINDS U24NS107136NIH-NINDS U24NS107215NIH-NINDS U24NS129500NIH/NINDS K23NS105924NIH/NINDS R01NS130189NIH/NINDS UG3NS130228NIMHD NIH HHS R01 MD016178NINDS Intramural Research ProgramNINDS NIH HHS K23 NS105924NINDS NIH HHS K23 NS121634NINDS NIH HHS R01 NS110721NINDS NIH HHS R01 NS130189NINDS NIH HHS U01 NS106513NINDS NIH HHS U24 NS107136NINDS NIH HHS U24 NS107215NINDS NIH HHS U24 NS129500NINDS NIH HHS UG3 NS130228NINDS NIH HHS UH3 NS130228NINR NIH HHS R01 NR018335
6 · The paper itself

Abstract

introductionIt is important to understand the socioeconomic and medical determinants of subjective cognitive decline (SCD) at a population level in the United States.

methodsThe primary outcomes are state-level rates of SCD and SCD-related functional impairment in adults aged ≥ 45, both measured in the Behavioral Risk Factor Surveillance System from 2016 to 2022. The exposures are state-level rates of poverty, unemployment, homelessness, college education, racial and ethnic minorities, uninsurance, smoking, hypertension, diabetes, and obesity as well as household income and physician density.

resultsThe strongest state-level associations with rates of SCD were the prevalence of diabetes (rho = 0.64), hypertension (rho = 0.59), and poverty (rho = 0.58; all p < 0.001), and with SCD-related functional impairment were prevalence of poverty (rho = 0.71), diabetes (rho = 0.68), and hypertension (rho = 0.53; all p < 0.001). DISCUSSION: This study highlights critical links between SCD and socioeconomic and medical determinants in adults aged ≥ 45 in the United States, including the prevalence of poverty, diabetes, and hypertension. HIGHLIGHTS: State-level analysis reveals socioeconomic and medical risk factors for subjective cognitive decline (SCD) at a population level. The prevalence of poverty is a critical contributor to the state-level prevalence of SCD. The prevalence of diabetes and hypertension are also strong state-level determinants of SCD. Addressing the burden of cognitive decline at the population level necessitates targeting socioeconomic and medical factors.

Indexed as

Cognitive DysfunctionSocioeconomic FactorsAgedBehavioral Risk Factor Surveillance SystemDiabetes MellitusFemaleHumansHypertensionMaleMiddle AgedPovertyPrevalenceRisk FactorsSocial Determinants of HealthUnited Statesbrain healthcerebrovascular pathologycognitive impairment risksubjective cognitive decline

Identifiers

PMID39351858
PMCPMC11567845

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Registered trials

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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.