AcademyHealth/Aetna Foundation Project
The measurement of neighborhood socioeconomic status (SES) has generally been assessed using a compositional approach: the aggregation of individual resident socioeconomic characteristics such as poverty status or median income. Yet, such an approach excludes neighborhood economic contextual factors (e.g. retail/services available) that can shape the quality of the socio-economic environment in the neighborhood.
There have been several calls in the public health literature for improved measures of the neighborhood environment. To address such calls, the goals for this project are to develop indicators of the neighborhood economic environment using geographic information systems (GIS) and to use those indicators in latent class analysis (LCA) to determine clustering of retail/service type across neighborhoods.
Funding Source: AcademyHealth/Aetna Foundation Scholars in Residence Fellowship Program