258952 Distribution of food providers in Cook County: Relationship to socio-economic characteristics and premature mortality at the neighborhood level

Monday, October 29, 2012 : 11:30 AM - 11:50 AM

Emily Zimmerman, PhD , Center on Human Needs, Virginia Commonwealth University, Richmond, VA
The food environment is but one of many environmental conditions that may affect health outcomes and neighborhood-level variation in availability of healthy foods has been documented in a range of studies. This analysis evaluates the hypothesis that areas of Cook County with poor food access have higher premature mortality rates independent of social and economic factors. We utilized GIS mapping techniques to calculate a food access measure for all Cook County census tracts. The measure is based on the inverse distance from each population weighted centroid to all categorical food vendors within the study area. An ordinary least squares regression is then used to account for influence of population density on food access. We conducted a multivariate regression with premature mortality rate as the response variable and food access density measures as independent variables. The control variables are percent of the population under 35, percent below 150% of the federal poverty limit, percent without a high school education, percent Hispanic, percent Caucasian, and unemployment rate. Access to chain supermarkets remained a significant predictor of premature mortality in the presence of these control variables. The regression analysis provides support for the hypothesis that Cook County neighborhoods with a poor food environment – that is areas with low access to supermarkets and/or large independent grocers—tend to have higher premature mortality rates than would be predicted based solely on the age, race/ethnicity, income and education of residents and the employment rate of the area.

Learning Areas:
Social and behavioral sciences

Learning Objectives:
1. Compare access to food providers among Cook County neighborhoods with attention to racial composition and socio-economic status of neighborhoods 2. Analyze the relationship between social and health conditions at the local level using GIS mapping 3. Evaluate the relationship between premature mortality and food access at the local level

Keywords: Geographic Information Systems, Health Disparities

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been a PI or Key Personnel on several NIH and DHHS grants as well as many locally funded initiatives. My experience covers quantitative and qualitative analysis, social determinants of health, community engagement, and social welfare.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.