School of Medicine

54 Correlation of White Matter Hyperintensities with Physical Activity and Diet

Gauri Garg; Adam de Havenon (Neurology); Kayla Navarro (Neurology); Varsha Muddasani (Neurology); Marissa Castillo (Neurology); Jakub Ziembicki (Neurology); Ka-Ho Wong (Neurology); and Kaitlin McLean

Faculty Mentor: Adam de Havenon (Neurology, University of Utah)

 

Objective: Our aim is to identify a correlation between level of physical activity and nutritional intake that indicates significant white matter hyperintensity (WMH) development in the brain.

Background: White matter hyperintensities are a radiographic marker of cerebral small vessel disease (CSVD). Individual’s levels of physical activity and nutritional intake have been hypothesized to be involved in the pathogenesis of WMH, although prior results have been inconsistent. Regular exercise can significantly reduce the risk of developing dementia and a diet rich in fiber and antioxidants can have similar effects. We will be performing a cross sectional analysis of the association between nutritional data obtained from an Automated Self-Administered 24-Hour Dietary Assessment Tool and physical activity data obtained from the International Physical Activity Questionnaire and WMH on a brain MRI.

Method: A retrospective chart review conducted on adults with a brain MRI from the EPIC database. The primary outcome was the burden of WHM measured on the Fazekas score, as a total score and either periventricular (PVWM) or deep white matter (DWM). The Fazekas score will be read with the individual predictors of the brain MRI measurements and adjusted for potential confounders such as patient age, sex, and hypertension.

Results: We identified patients aged 60 years or older who had a brain MRI done within the last year and were capable of all activities of daily living. We will categorize patients based on their level of physical activity and quality of nutritional intake against their WMH Fazekas score. Conclusion Physical activity and nutritional intake might help determine the extent of WMH in an individual. Discovering a relationship in asymptomatic patients could give vital information for understanding the cause of WMH which can have dramatic effects on the aging population.


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RANGE: Undergraduate Research Journal (2023) Copyright © 2023 by Gauri Garg; Adam de Havenon (Neurology); Kayla Navarro (Neurology); Varsha Muddasani (Neurology); Marissa Castillo (Neurology); Jakub Ziembicki (Neurology); Ka-Ho Wong (Neurology); and Kaitlin McLean is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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