Assessing Geographic Disparities in Prevalence of Prediabetes: A Spatial Epidemiological Investigation in Florida, 2013
Methods: Behavioral Risk Factor Surveillance System data were obtained from the Florida Department of Health. Statistical analyses were performed using SAS 9.4. To assess geographic disparities, Geographical Information System (GIS) technology was used to develop chloropleth maps. Global Moran’s I was used to detect clustering of prediabetes prevalence. Local indicators of spatial association (LISA) were used to identify counties with significantly high prevalence proportions of prediabetes.
Results: There were approximately (7.15%) 1,090,660 adults in Florida diagnosed with prediabetes in 2013. Results indicate that many rural counties throughout the state tended to have higher prediabetes prevalence compared to urban areas. Prediabetes prevalence proportions were typically higher in counties without Lifestyle change programs. Hotspots prevalence of prediabetes were identified in the north while areas with significantly low prevalence proportions were identified in the south which also tended to have Lifestyle change programs. Individuals that were obese were two times more likely to have a diagnosis of prediabetes.
Conclusion: There is evidence of geographic disparities of prediabetes prevalence in Florida which drastically impacts the health of many Floridians. There is a need to continue to identify areas and populations with higher risks of prediabetes so as to help inform public health policies to strategically guide prevention efforts. The Florida Department of Health Bureau of Chronic Disease Prevention is working to increase physician referrals to Lifestyle change programs.
Learning Areas:Chronic disease management and prevention
Planning of health education strategies, interventions, and programs
Public health or related public policy
Public health or related research
Describe the burden of prediabetes and related risk factors in Florida
Keyword(s): Diabetes, Geographic Information Systems (GIS)
Qualified on the content I am responsible for because: I am the chronic disease epidemiologist in the Bureau of Chronic Disease Prevention at the Florida Department of Health.
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.