Self-Reported vs Objective Cerebrovascular Burden: Association with Depression and Cognitive Performance
Emma Churchill, Daniel Paulson, Nichole Lighthall, Apollonia Lysandrou, Nicole McClure, Madison Maynard, Quinn Allen, Nick James

TL;DR
This study compares self-reported and objective measures of cerebrovascular burden in predicting depression and cognitive decline in older adults.
Contribution
It shows that self-reported cerebrovascular conditions may predict mood and cognitive outcomes as effectively as objective biomarkers.
Findings
Self-reported cerebrovascular burden predicted depressive symptoms and cognitive performance on specific tests.
Objective cerebrovascular burden also significantly predicted cognitive performance.
Self-reported measures may offer comparable or greater predictive value for mood-related outcomes.
Abstract
Cerebrovascular burden (CVB) contributes to neurocognitive and behavioral decline in aging. While MRI is the gold standard for assessing CVB, its availability in large community samples is limited. Previous studies have used biomarkers (e.g., A1C) or self-reported comorbidities (e.g., diabetes) to assess CVB. This study evaluates the concordance of these methods, hypothesizing that self-reports serve as a valid alternative to biomarkers in predicting depressive symptoms and cognitive performance. Data from wave 16 of the Health and Retirement Study (HRS), a nationally representative sample of older adults, were analyzed. Biomarker (A1C, cholesterol, blood pressure, C-reactive protein, cystatin C) and self-reported CVB variables (heart conditions, hypertension, hypercholesterolemia, smoking) were collected. Depression and cognition were assessed using the CES-D 8 and the Harmonized…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Cerebrovascular and Carotid Artery Diseases · Cardiovascular Health and Risk Factors
