Abstract #1402660: Association of Social Vulnerability Index Themes and Pre-Diabetes in Chicago Neighborhoods

Abstract

Pre-diabetes, defined as a glycosylated hemoglobin between 5.7% and 6.4%, is a common condition that is amenable to intervention to ameliorate progression to diabetes. The distribution of pre-diabetes at the census tract level in diverse urban communities and the neighborhood factors that may influence community pre-diabetes rates are not well understood. The social vulnerability index (SVI) was created by the Centers for Disease Control and Prevention to study how communities may be affected following natural disasters. SVI scores range from 0 to 1 with higher SVI scores representing increased social vulnerability. SVI is composed of four neighborhood level themes — socioeconomic status, household composition and disability, minority status and language, and housing type and transportation. The objective of this proof-of-concept project was to determine the distribution of pre-diabetes in patients from census tracts served by a single academic health center and to understand how census tract SVI scores amongst the four SVI themes may be associated with pre-diabetes. For data available in 2018, pre-diabetes rates varied from 0.5% to 16.7% for 1,203 out of the 1,313 census tracts for which there were at least 25 adult patients seen at Rush University Medical Center. A linear regression model was used to assess the change in SVI theme score with the rate of pre-diabetes. Each 0.1 unit increase in SVI theme score for the socioeconomic status, household composition and disability, and minority status and language themes were associated with a 0.37% (SE = 0.027; p-value < 0.0001), 0.36% (SE = 0.027; p-value < 0.0001), and 0.14% (SE = 0.029; p-value = 0.0045) increase in the rate of pre-diabetes, respectively. However, the housing and transportation theme had a non-significant 0.08% decreased rate of pre-diabetes per 0.1-unit change (SE = 0.029, p-value = 0.07). While there was significant heterogeneity of SVI theme scores and pre-diabetes rates in census tracts served by a single, urban health center, this proof-of-concept work shows a potential relationship between SVI themes and pre-diabetes rates at the census-tract level. If confirmed in future studies, SVI could be a tool for future targeted neighborhood-specific interventions to reduce the health impact of pre-diabetes, such as providing more resources to address disparities in socioeconomic status, household composition and disability, and minority status and language domains.