Date Approved
2021
Degree Type
Open Access Thesis
Degree Name
Master of Arts (MA)
Department or School
Sociology, Anthropology, and Criminology
Committee Member
Grigoris Argeros, Ph.D.
Committee Member
Robert Orrange, Ph.D.
Abstract
The neighborhood retail food environment is an indicator of short- and long-term health conditions. Disparities in Covid-19 health outcomes have been identified as specifically impacting minority populations in Ann Arbor and Ypsilanti, MI. This study explores these cities' neighborhood retail food environments alongside neighborhood racial composition with three measures: Modified Retail Food Environment Index (mRFEI), Grocery Store Density, and Fast-Food Density. This study's purpose is to determine whether racial composition predicts the food environment and therefore may contribute to poor health outcomes. The results indicate that high Asian population has a significant relationship to healthier food environments while high Black population is related to low neighborhood fast-food density. Generally, neighborhoods with a high Black population show worse food environment characteristics, while a high Asian population was linked to healthier food environments. Moving forward, further research is needed on this subject to determine the extent to which these findings influence Covid-19 health outcomes.
Recommended Citation
Srygley, Sara L., "Exploring the food landscape in Ann Arbor and Ypsilanti, MI: Neighborhood racial characteristics and food availability" (2021). Master's Theses and Doctoral Dissertations. 1105.
https://commons.emich.edu/theses/1105