Evidence map›Paper›PMID 26984255›Full record

ArticleJournal of the American Heart Association2016

Ideal Cardiovascular Health and Cognitive Aging in the Northern Manhattan Study.

Hannah Gardener, Clinton B Wright, Chuanhui Dong, Ken Cheung, Janet DeRosa, Micaela Nannery, Yaakov Stern, Mitchell S V Elkind, Ralph L Sacco

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 pooled it
–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

68 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Impact of mid-life cardiovascular health on cognitive change in a bi-ethnic cohort.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Review
  10. The role of per- and polyfluoroalkyl substances in cognitive impairment and dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Cohort Profile: Dementia Risk Prediction Project (DRPP).International journal of epidemiology · 2024
    Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

9 authors.

Hannah GardenerDepartment of Neurology, Miller School of Medicine, University of Miami, FL hgardener@med.miami.edu.
Clinton B WrightDepartment of Neurology, Miller School of Medicine, University of Miami, FL Department of Public Health Sciences, Miller School of Medicine, University of Miami, FL Department of Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, FL.
Chuanhui DongDepartment of Neurology, Miller School of Medicine, University of Miami, FL.
Ken CheungDepartment of Biostatistics, Mailman Public School of Health, Columbia University, New York, NY.
Janet DeRosaDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY.
Micaela NanneryDepartment of Neurology, Miller School of Medicine, University of Miami, FL.
Yaakov SternDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY.
Mitchell S V ElkindDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
Ralph L SaccoDepartment of Neurology, Miller School of Medicine, University of Miami, FL Department of Public Health Sciences, Miller School of Medicine, University of Miami, FL Department of Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, FL.

Funding

STROKE INCIDENCE AND RISK FACTORS IN A TRI-ETHNIC REGIONR01NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 1993 to 2019
$19.2M
Stroke Incidence and Risk Factors in a Tri-Ethnic RegionR37NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 2008 to 2014
$12.1M
NINDS NIH HHS R01 NS029993NINDS NIH HHS R37 NS029993NINDS NIH HHS R37 NS 29993
6 · The paper itself

Abstract

backgroundThe American Heart Association defined target levels for 7 cardiovascular health (CVH) factors: smoking, body mass index, physical activity, diet, blood pressure, cholesterol, and glucose. We hypothesized that a greater number of American Heart Association ideal CVH metrics would be associated with less decline in cognitive performance in our multiethnic population. METHODS AND

resultsA subsample from the population-based Northern Manhattan Study underwent repeated neuropsychological testing (mean interval 6±2 years). Domain-specific Z scores were derived by using factor analysis for the domains of Episodic Memory, Semantic Memory, Executive Function, and Processing Speed, based on initial performance and decline over time. Linear regression models were constructed to examine the relationship between the number of ideal CVH metrics at enrollment with later cognitive performance and decline, adjusting for sociodemographics and magnetic resonance imaging brain markers. Among 1033 participants (mean age at initial cognitive assessment 72±8 years, 39% male, 19% black, 16% white, 65% Hispanic; n=722 with repeat testing), 3% had 0 ideal factors, 15% had 1 factor, 33% had 2 factors, 30% had 3 factors, 14% had 4 factors, 4% had 5 factors, 1% had 6 factors, and 0% had 7 factors. An increasing number of ideal CVH factors was associated with better processing speed at initial assessment and less decline. The association was driven by nonsmoking and glucose. Among those with better cognitive performance at initial assessment, positive associations were observed between the number of ideal CVH factors and less decline in the domains of Executive Function and Episodic Memory.

conclusionsThe number of ideal CVH metrics was associated with less decline in the domains of Processing Speed and, to a lesser extent, of Executive Function and Episodic Memory. Ideal CVH promotion benefits brain health and cognitive aging.

Indexed as

CognitionAgedAged, 80 and overAge FactorsAgingBlack or African AmericanCardiovascular DiseasesCognition DisordersExecutive FunctionFemaleHealth StatusHispanic or LatinoHumansMagnetic Resonance ImagingMaleMemoryblood pressureepidemiologyglucoserisk factorssmoking

Identifiers

PMID26984255
PMCPMC4943249

What OpenQuestion holds

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LicenceCC BY-NC
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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.