Evidence map›Paper›PMID 36697246›Full record

ArticleNeurology2023

Premature Cardiovascular Disease and Brain Health in Midlife: The CARDIA Study.

Xiaqing Jiang, Cora E Lewis, Norrina B Allen, Stephen Sidney, Kristine Yaffe

Open access · greenAbstract read
In one paragraph

Article in Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
13.0field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Epigenetic Clock Trajectories and Brain Health in Midlife.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Mitochondrial haplogroups, but not heteroplasmy, are associated with midlife cognitive function.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

5 authors at 1 institution in 1 country.

Xiaqing JiangFrom the Department of Psychiatry and Behavioral Sciences (X.J., K.Y.), University of California San Francisco; Department of Epidemiology (C.E.L.), School of Public Health, University of Alabama at Birmingham; Department of Preventive Medicine (N.B.A.), Northwestern University Feinberg School of Medicine, Chicago, IL; Kaiser Permanente Division of Research (S.S.), Oakland, CA; Department of Epidemiology and Biostatistics (K.Y.), University of California San Francisco; Department of Neurology (K.Y.), University of California; and San Francisco VA Health Care System (K.Y.).ORCID 0000-0003-3633-0688
Cora E LewisFrom the Department of Psychiatry and Behavioral Sciences (X.J., K.Y.), University of California San Francisco; Department of Epidemiology (C.E.L.), School of Public Health, University of Alabama at Birmingham; Department of Preventive Medicine (N.B.A.), Northwestern University Feinberg School of Medicine, Chicago, IL; Kaiser Permanente Division of Research (S.S.), Oakland, CA; Department of Epidemiology and Biostatistics (K.Y.), University of California San Francisco; Department of Neurology (K.Y.), University of California; and San Francisco VA Health Care System (K.Y.).
Norrina B AllenFrom the Department of Psychiatry and Behavioral Sciences (X.J., K.Y.), University of California San Francisco; Department of Epidemiology (C.E.L.), School of Public Health, University of Alabama at Birmingham; Department of Preventive Medicine (N.B.A.), Northwestern University Feinberg School of Medicine, Chicago, IL; Kaiser Permanente Division of Research (S.S.), Oakland, CA; Department of Epidemiology and Biostatistics (K.Y.), University of California San Francisco; Department of Neurology (K.Y.), University of California; and San Francisco VA Health Care System (K.Y.).
Stephen SidneyFrom the Department of Psychiatry and Behavioral Sciences (X.J., K.Y.), University of California San Francisco; Department of Epidemiology (C.E.L.), School of Public Health, University of Alabama at Birmingham; Department of Preventive Medicine (N.B.A.), Northwestern University Feinberg School of Medicine, Chicago, IL; Kaiser Permanente Division of Research (S.S.), Oakland, CA; Department of Epidemiology and Biostatistics (K.Y.), University of California San Francisco; Department of Neurology (K.Y.), University of California; and San Francisco VA Health Care System (K.Y.).
Kristine YaffeFrom the Department of Psychiatry and Behavioral Sciences (X.J., K.Y.), University of California San Francisco; Department of Epidemiology (C.E.L.), School of Public Health, University of Alabama at Birmingham; Department of Preventive Medicine (N.B.A.), Northwestern University Feinberg School of Medicine, Chicago, IL; Kaiser Permanente Division of Research (S.S.), Oakland, CA; Department of Epidemiology and Biostatistics (K.Y.), University of California San Francisco; Department of Neurology (K.Y.), University of California; and San Francisco VA Health Care System (K.Y.). kristine.yaffe@ucsf.edu.
Northwestern University · US

Funding

Population Based Research for Alzheimer's Innovation (POP BRAIN)R35AG071916 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2021 to 2024
$3.8M
Lifecourse CVD Risk and Midlife Cognitive Trajectories and Brain Aging: Implications for Alzheimer's and Dementia PreventionR01AG063887 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI YAFFE, KRISTINE · 2019 to 2022
$3.0M
Lifecourse Predictors and Mechanisms of Early Clinical ADRD among Black and White Adults in their SixtiesR01AG091431 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kristine Yaffe · 2025 to 2026
$2.6M
NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INIA NIH HHS R01 AG063887NIA NIH HHS R01 AG091431NIA NIH HHS R35 AG071916
6 · The paper itself

Abstract

BACKGROUND AND

objectivesTo understand the role of premature (defined as ≤ 60 years) cardiovascular disease (CVD) in brain health earlier in life, we examined the associations of premature CVD with midlife cognition and white matter health.

methodsWe studied a prospective cohort in the Coronary Artery Risk Development in Young Adults study, who were 18-30 years at baseline (1985-1986) and followed up to 30 years when 5 cognitive tests measuring different domains were administered. A subset (656 participants) had brain MRI measures of white matter hyperintensity (WMH) and white matter integrity. A premature CVD event was adjudicated based on medical records of coronary heart disease, stroke/TIA, congestive heart failure, carotid artery disease, and peripheral artery disease. We conducted linear regression to determine the associations of nonfatal premature CVD with cognitive performance (z-standardized), cognitive decline, and MRI measures.

resultsAmong 3,146 participants, the mean age (57% women and 48% Black) was 55.1 ± 3.6 years, with 5% (n = 147) having premature CVD. Adjusting for demographics, education, literacy, income, depressive symptoms, physical activity, diet, and DISCUSSION: Premature CVD is associated with worse midlife cognition and white matter health, which is not entirely driven by stroke/TIA and even independent of CVRFs. Preventing CVD in early adulthood may delay the onset of cognitive decline and promote brain health over the life course.

Indexed as

Cardiovascular DiseasesIschemic Attack, TransientStrokeAdultBrainCognitionFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsYoung Adult

Identifiers

PMID36697246
PMCPMC10104620
OpenAlexW4318016260

What OpenQuestion holds

Textmetadata
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.