Safra Arevalo
Pronouns: she/her
Research Mentor(s): Natalie Colabianchi, Associate Professor
Research Mentor School/College/Department: Applied Exercise Science, School of Kinesiology
Presentation Date: Thursday, April 22, 2021
Session: Session 3 (1pm-1:50pm)
Breakout Room: Room 9
Presenter: 1
Abstract
Stroke is one of the leading causes of death in the United States. The REasons for Geographic And Racial Differences in Stroke – Built and Social Environment study’s ultimate goal is to try to determine whether the type of neighborhood or general environment, also known as built and social environment (BSE), one lives in will give them a higher risk of stroke or not. Thousands of neighborhoods across the United States were audited in Google Earth to determine whether specific BSE amenities could lead to higher stroke risk. Set questions based on what was available in Google Earth for each location were answered on the REDCap program. This data was used to perform inter-rater reliability (IRR) tests examined in this presentation. This analysis used data from 226 audits conducted by two independent raters. Cohen’s kappa (K) was used to estimate agreement, as an indicator of the reliability of audit items. BSE measures evaluated include presence of driveway, building height (in feet and number of stories), and number of trees. Presence of driveway had the highest agreement (K= 0.77), followed by building height (feet) (K= 0.77), building height (stories) (K= 0.51), then number of trees (K= 0.41). Until all audits are complete, concrete results for the project cannot be provided. Nevertheless, IRR tests have rendered verification that audits for many items are reliable. Items found to be reliable will be used in future analyses to examine the association between BSEs and stroke risk.
Authors: Safra Arevalo, Ian Lang, Cathy Antonakos, Natalie Colabianchi
Research Method: Data Collection and Analysis
