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Web‐based assessment of cardiovascular risk factors and cognition in older adults: Findings from the Brain eHealth feasibility study
Author(s) -
Yaffe Kristine,
Kaup Allison R,
Bahorik Amber L,
Butcher Xochitl,
Attarha Mouna,
Marcus Gregory M,
Pletcher Mark J,
Olgin Jeffrey E
Publication year - 2020
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.041212
Subject(s) - cognition , ehealth , medicine , atrial fibrillation , diabetes mellitus , episodic memory , effects of sleep deprivation on cognitive performance , cognitive decline , gerontology , physical therapy , psychiatry , health care , dementia , economics , economic growth , disease , endocrinology
Background Cardiovascular risk factors (CVRFs) are linked to cognitive aging. Most studies rely on lengthy in‐person assessments, and it is unclear if web‐based platforms can be used to detect the contribution of risk factors, including CVRFs, to cognitive aging offering a more pragmatic and low cost approach. Method We recruited 239 adults who were enrolled in the Health eHeart project in order to conduct the Brain eHealth study, a mobile health feasibility study of web‐based measurement tools in adults age ≥50. CVRFs were identified based on health surveys from the Health eHeart study using the Eureka Research platform between March 2013, and February 2019, and included hypertension, high cholesterol, diabetes, and atrial fibrillation. After an average of 3 years participants completed a web‐based cognitive assessment with the BrainHQ platform (POSIT Science) that assessed 3 cognitive domains: episodic memory, working memory, and executive function. We used linear regression models to examine the association between CVRFs and cognitive function. Result Among the 239 participants (mean age, 62.7±8.8, 43% female, 89% white), CVRF prevalence was 54% for high cholesterol, 44% for hypertension, 12% for atrial fibrillation, and 7% for diabetes. In multivariable models adjusted for age, race/ethnicity, and sex, atrial fibrillation was associated with poor working memory (β = ‐0.52, 95%CI ‐0.92,‐0.11) and worse episodic memory (β = ‐0.26, 95%CI ‐0.42,‐0.08), and hypertension was associated with worse episodic memory (β = ‐0.25, 95%CI ‐0.42, ‐0.08). There was no association for diabetes or high cholesterol. In a sensitivity analysis, we further adjusted for motor speed processing, which led to similar results. Conclusion Results of this feasibility study suggest that web‐based tools may be used to detect the contribution of CVRFs, especially atrial fibrillation and hypertension to cognitive function in older adults. The potential of these mobile measurement tools to track the relationship between older adults’ cardiovascular health and cognitive aging should be further investigated in a larger study.