Evidence map›Paper›PMID 35107430›Full record

ArticleJMIR formative research2022

Remote Assessment of Cardiovascular Risk Factors and Cognition in Middle-Aged and Older Adults: Proof-of-Concept Study.

Jennifer A Eastman, Allison R Kaup, Amber L Bahorik, Xochitl Butcher, Mouna Attarha, Gregory M Marcus, Mark J Pletcher, Jeffrey E Olgin, Deborah E Barnes, Kristine Yaffe

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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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

10 authors.

Jennifer A Eastman *San Francisco VA Medical Center, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-1539-3081
Allison R Kaup *San Francisco VA Medical Center, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3880-4245
Amber L Bahorik *Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-6333-3599
Xochitl Butcher *Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-4001-9633
Mouna Attarha *Posit Science Corporation, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-3020-3768
Gregory M MarcusDepartment of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-5197-7696
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-6966-1312
Jeffrey E Olgin *Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-1684-9327
Deborah E Barnes *San Francisco VA Medical Center, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2953-4079
Kristine Yaffe *San Francisco VA Medical Center, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-0919-3825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdults with cardiovascular disease risk factors (CVRFs) are also at increased risk of developing cognitive decline and dementia. However, it is often difficult to study the relationships between CVRFs and cognitive function because cognitive assessment typically requires time-consuming in-person neuropsychological evaluations that may not be feasible for real-world situations.

objectiveWe conducted a proof-of-concept study to determine if the association between CVRFs and cognitive function could be detected using web-based, self-administered cognitive tasks and CVRF assessment.

methodsWe recruited 239 participants aged ≥50 years (mean age 62.7 years, SD 8.8; 42.7% [n=102] female, 88.7% [n=212] White) who were enrolled in the Health eHeart Study, a web-based platform focused on cardiac disease. The participants self-reported CVRFs (hypertension, high cholesterol, diabetes, and atrial fibrillation) using web-based health surveys between August 2016 and July 2018. After an average of 3 years of follow-up, we remotely evaluated episodic memory, working memory, and executive function via the web-based Posit Science platform, BrainHQ. Raw data were normalized and averaged into 3 domain scores. We used linear regression models to examine the association between CVRFs and cognitive function.

resultsCVRF prevalence was 62.8% (n=150) for high cholesterol, 45.2% (n=108) for hypertension, 10.9% (n=26) for atrial fibrillation, and 7.5% (n=18) for diabetes. In multivariable models, atrial fibrillation was associated with worse working memory (β=-.51, 95% CI -0.91 to -0.11) and worse episodic memory (β=-.31, 95% CI -0.59 to -0.04); hypertension was associated with worse episodic memory (β=-.27, 95% CI -0.44 to -0.11). Diabetes and high cholesterol were not associated with cognitive performance.

conclusionsSelf-administered web-based tools can be used to detect both CVRFs and cognitive health. We observed that atrial fibrillation and hypertension were associated with worse cognitive function even in those in their 60s and 70s. The potential of mobile assessments to detect risk factors for cognitive aging merits further investigation.

Indexed as

agingcardiovascularcognitioncognitive impairmentdigital healtheHealthinternetmHealthmobile healthremote cognitive assessmentrisk factors

Identifiers

PMID35107430
PMCPMC8851369

What OpenQuestion holds

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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.