Examining neighborhood-level hot and cold spots of food insecurity in relation to social vulnerability in Houston, Texas.

ABSTRACT: Food insecurity is prevalent and associated with poor health outcomes, but little is known about its geographical nature. The aim of this study is to utilize geospatial modeling of individual-level food insecurity screening data ascertained in health care settings to test for neighborhood hot and cold spots of food insecurity in a large metropolitan area, and then compare these hot spot neighborhoods to cold spot neighborhoods in terms of the CDC's Social Vulnerability Index. In this cross-sectional secondary data analysis, we geocoded the home addresses of 6,749 unique participants screened for food insecurity at health care locations participating in CMS's Accountable Health Communities (AHC) Model, as implemented in Houston, TX. Next, we created census-tract level incidence profiles of

SUBMITTER: Ramphul R 

PROVIDER: S-EPMC10013905 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature